Publikationen

Key facts: 1.532 Veröffentlichungen (Stand Ende 2021) seit Gründung des SCCH 1999/2000, davon 1.096 reviewed Beiträge in Journalen, Tagungsbänden und Büchern. Am Zentrum wurden 3 Habilitationen, 27 Dissertationen und 82 Masterarbeiten abgeschlossen. In der aktuellen COMET Periode 2015-2023 wurden bisher 718 Beiträge veröffentlicht.

2025
A novel framework for systematic propositional formula simplification based on existential graphs

de Mas, J. F., & Bowles, J. (2024). A novel framework for systematic propositional formula simplification based on existential graphs (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2405.17072
A Survey on the Functionalities of Data Catalog Tools

Kropshofer, J., Schrott, J., Wöß, W., & Ehrlinger, L. (2025). A Survey on the Functionalities of Data Catalog Tools. IEEE Access, 1–1.
Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures

Martinez-Gil, J. (2025). Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures. Balancing Software Innovation and Regulatory Compliance, 72–90.
Automating Invariant Filtering: Leveraging LLMs to Streamline Test Oracle Generation

Fischer, S., & Klammer, C. (2025). Automating Invariant Filtering: Leveraging LLMs to Streamline Test Oracle Generation. Balancing Software Innovation and Regulatory Compliance, 51–71.
Balancing Software Innovation and Regulatory Compliance: Proceedings of the 17th International Conference on Software Quality, SWQD 2025

Balancing Software Innovation and Regulatory Compliance. (2025). In J. Fischbach, R. Ramler, D. Winkler, & J. Bergsmann (Eds.), Lecture Notes in Business Information Processing. Springer Nature Switzerland.
Icewafl: A Configurable Data Stream Polluter

Schinninger, C., Panse, F., Kühne, C., & Ehrlinger, L. (2025). Icewafl: A Configurable Data Stream Polluter (Version 1) [Data set]. OpenProceedings.org. https://doi.org/10.48786/EDBT.2025.64
VFLBench: A Practical Benchmark for Vertical Federated Learning in Manufacturing

Nguyen Duy, D., Nikzad-Langerodi, R., & Affenzeller, M. (2025). VFLBench: A Practical Benchmark for Vertical Federated Learning in Smart Manufacturing. Computer Aided Systems Theory – EUROCAST 2024, 45–52.
On the sampling sparsity of analog-to-spike conversion based on leaky integrate-and-fire

Moser, B. A., & Lunglmayr, M. (2025). On the sampling sparsity of analog-to-spike conversion based on leaky integrate-and-fire. Neuromorphic Computing and Engineering, 5(1), 014011.
Software-Hardware Binding for Protection of Sensitive Data in Embedded Software

Bernhard Fischer, Daniel Dorfmeister, Flavio Ferrarotti, Manuel Penz, Michael Kargl, Martina Zeinzinger, and Florian Eibensteiner. 2025. Software-Hardware Binding for Protection of Sensitive Data in Embedded Software. In Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (SAC '25). Association for Computing Machinery, New York, NY, USA, 570–577.
Automated Knowledge Graph Learning in Industrial Processes

Ammann, L., Martinez-Gil, J., Mayr, M., & Chasparis, G. C. (2025). Automated Knowledge Graph Learning in Industrial Processes. Procedia Computer Science, 253, 2428–2437.
Leveraging Rowhammer for Physically Unique and Non-tamperable Device Identification

Fischer, B., Dorfmeister, D., Lampesberger, H., & Hermann, E. (2025). Leveraging Rowhammer for Physically Unique and Non-tamperable Device Identification. Procedia Computer Science, 253, 1154–1164.
MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

Quetschlich, N., Burgholzer, L., & Wille, R. (2024). MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing. ACM Transactions on Quantum Computing.
A Data Quality Dashboard for (Security) Knowledge Graphs

Pizhuk, D., Ehrlinger, L., Denk, G., & Geist, V. (2025). A Data Quality Dashboard for (Security) Knowledge Graphs. In Datenbanksysteme für Business, Technologie und Web (BTW 2025) (pp. 803-810). Gesellschaft für Informatik, Bonn.
An overview of civic engagement tools for rural communities

Martinez-Gil, J., Pichler, M., Lechat, N., Lentini, G., Cvar, N., Trilar, J., Bucchiarone, A., & Marconi, A. (2025). An overview of civic engagement tools for rural communities. Open Research Europe, 4, 195.
Investigating the Potential of Latent Space for the Classification of Paint Defects

Almhaithawi, D., Bellini, A., Chasparis, G. C., & Cerquitelli, T. (2025). Investigating the Potential of Latent Space for the Classification of Paint Defects. Journal of Imaging, 11(2), 33.
Trend detection using Mann-Kendall test

Duy, D. N., & Himmelbauer, J. (2025). A Two-Step Approach for Trend Detection in Injection Molding: Mann-Kendall Test and Decision Trees. Procedia Computer Science, 253, 2003–2013.
2024
Evaluating AI-based Code Segmentation for ABAP Programs in an Industrial Use Case

Mayer, R., Moser, M., Greif, N., Schnitzhofer, F., Geist, V., & Pinzger, M. (2024). Evaluating AI-Based Code Segmentation for ABAP Programs in an Industrial Use Case. Product-Focused Software Process Improvement. Industry-, Workshop-, and Doctoral Symposium Papers, 131–147.
On-farm NIR sensor for milk analysis: exploitation of bias monitoring and bias correction

van Nuenen, A., Fonseca Diaz, V., Diaz-Olivares, J. A., Saeys, W., & Aernouts, B. (2024). On-farm NIR sensor for milk analysis: Exploitation of bias monitoring and bias correction. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 320, 124544.
Responsible Annotation - Von der Idee zur Praxis: Inklusives Team markiert Daten für KI-Training

Schenkenfelder, B., Brandstätter, U., Fischer, L., Ramler, R., Laister, D., Hartl, M., & Wurm, M. (2024). Responsible Annotation - Von der Idee zur Praxis: Inklusives Team markiert Daten für KI-Training. BI-Spektrum 5/2024.
Shuttling for Scalable Trapped-Ion Quantum Computers

Schoenberger, D., Hillmich, S., Brandl, M., & Wille, R. (2024). Shuttling for Scalable Trapped-Ion Quantum Computers. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1–1.
The impact of new package managers on the library dependency ecosystem

Rahkema, K., Pfahl, D., & Ramler, R. (2024). The impact of new package managers on the library dependency ecosystem. PeerJ Computer Science, 10, e2617. Portico.
Towards Solving Short-Term Generation Scheduling Problems on Quantum Computers

Bruckner, S., Ferrarotti, F., Ramler, R., Wille, R., & Hillmich, S. (2024). Towards Solving Short-Term Generation Scheduling Problems on Quantum Computers. Product-Focused Software Process Improvement. Industry-, Workshop-, and Doctoral Symposium Papers, 164–170.
Understanding Microservice Runtime Monitoring Data for Anomaly Detection with Structural Equation Modeling

Steidl, M., Leitner, M., Urbanke, P., Gattringer, M., Felderer, M., Ristov, S. (2025). Understanding Microservice Runtime Monitoring Data for Anomaly Detection with Structural Equation Modeling. Product-Focused Software Process Improvement. PROFES 2024. Lecture Notes in Computer Science, vol 15452.
Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities

Assunção, W. K. G., Marchezan, L., Arkoh, L., Egyed, A., & Ramler, R. (2024). Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities. ACM Transactions on Software Engineering and Methodology.
GrammarForge: Learning Program Input Grammars for Fuzz Testing

Sochor, H., Ferrarotti, F., & Wille, R. (2024). GrammarForge: Learning Program Input Grammars for Fuzz Testing. Software Engineering and Formal Methods, 272–289.
Hybrid Circuit Mapping: Leveraging the Full Spectrum of Computational Capabilities of Neutral Atom Quantum Computers

Schmid, L., Park, S., & Wille, R. (2024). Hybrid Circuit Mapping: Leveraging the Full Spectrum of Computational Capabilities of Neutral Atom Quantum Computers. Proceedings of the 61st ACM/IEEE Design Automation Conference, 1–6.
Managing Human-AI Collaborations within Industry 5.0 Scenarios via Knowledge Graphs: Key Challenges and Lessons Learned

Krause, F., Paulheim, H., Kiesling, E., Kurniawan, K., Leva, M. C., Estrada-Lugo, H. D., Stübl, G., Üre, N. K., Dominguez-Ledo, J., Khan, M., Demolder, P., Gaux, H., Heinzl, B., Hoch, T., Martinez-Gil, J., Silvina, A., & Moser, B. A. (2024). Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned. Frontiers in Artificial Intelligence, 7.
Mixed-Dimensional Qudit State Preparation Using Edge-Weighted Decision Diagrams

Mato, K., Hillmich, S., & Wille, R. (2024). Mixed-Dimensional Qudit State Preparation Using Edge-Weighted Decision Diagrams. Proceedings of the 61st ACM/IEEE Design Automation Conference, 1–6.
Constraint-based Measurement and Aggregation of Data Quality

Schrott, J. (2024). Constraint-based Measurement and Aggregation of Data Quality. Master Thesis, Johannes Kepler University Linz.
Contributions to Systems Software and Service Process Improvement and Innovation Based on Recent Advances

Colomo‐Palacios, R., Messnarz, R., & Biró, M. (2024). Contributions to Systems Software and Service Process Improvement and Innovation Based on Recent Advances. Journal of Software: Evolution and Process, 37(1). Portico.
Evaluation of Code Similarity Search Strategies in Large-Scale Codebases

Martinez-Gil, J., & Yin, S. (2024). Evaluation of Code Similarity Search Strategies in Large-Scale Codebases. Transactions on Large-Scale Data- and Knowledge-Centered Systems LVII, 99–113.
Leveraging the Power of LLMs to Transform Robot Programs into Low-Code

Schenkenfelder, B., Salomon, C., Schwandtner, M., Zefferer, R., Derfler, M., & Wimmer, M. (2024). Leveraging the Power of LLMs to Transform Robot Programs into Low-Code. 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), 1–4.
Low-Code Development and End-User Development: (How) Are They Different?

Schenkenfelder, B., Brandstätter, U., Kirchtag, H., & Wimmer, M. (2024). Low-Code Development and End-User Development: (How) Are They Different? Proceedings of the First International Workshop on Participatory Design & End-User Development - Building Bridges, co-located with the International Nordic Conference on Human-Computer Interaction (NordiCHI 2024).
The Turing Game

Lewandowski, M., Schmid, S. L., Mederitsch, P., Aufreiter, A., Aichinger, G., Nessler, F., Bergsmann, S., Szolga, V., Halmdienst, T., & Nessler, B. (2024). The Turing Game. In The First Workshop on System-2 Reasoning at Scale, NeurIPS'24. Retrieved from https://openreview.net/forum?id=YiquAWqFw3
Towards an Optimization Pipeline for the Design of Train Control Systems with Hybrid Train Detection

Engels, S., & Wille, R. (2024). Towards an Optimization Pipeline for the Design of Train Control Systems with Hybrid Train Detection (Short Paper). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/OASICS.ATMOS.2024.12
A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem

Volpe, D., Quetschlich, N., Graziano, M., Turvani, G., & Wille, R. (2024). A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem. 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 1014–1025.
An Abstract Model and Efficient Routing for Logical Entangling Gates on Zoned Neutral Atom Architectures

Stade, Y., Schmid, L., Burgholzer, L., & Wille, R. (2024). An Abstract Model and Efficient Routing for Logical Entangling Gates on Zoned Neutral Atom Architectures. 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 784–795.
Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies

Abbas, A. N., Amazu, C. W., Mietkiewicz, J., Briwa, H., Perez, A. A., Baldissone, G., … Leva, M. C. (2024). Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies. International Journal of Human–Computer Interaction, 1–35. https://doi.org/10.1080/10447318.2024.2391605
Automatic Validation and Design of Microfluidic Devices Following the ISO 22916 Standard

Ebner, P., & Wille, R. (2024). Automatic Validation and Design of Microfluidic Devices Following the ISO 22916 Standard. 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 278–283.
Breaking Boundaries in Industrial Programming: Towards a Novel Architecture for Machine Controls

Wetzlmaier, T., Fischer, S., Wöß, A., Löberbauer, M., Koll, G., & Fischer, F. (2024). Breaking Boundaries in Industrial Programming: Towards a Novel Architecture for Machine Controls. 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), 1–4.
CertGraph: Towards a Comprehensive Knowledge Graph for Cloud Security Certifications

Schöberl, S., Banse, C., Geist, V., Kunz, I., & Pinzger, M. (2024). CertGraph: Towards a Comprehensive Knowledge Graph for Cloud Security Certifications. Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, 76–77.
Comparing Lazy Constraint Selection Strategies in Train Routing with Moving Block Control

Engels, S., & Wille, R. (2024). Comparing Lazy Constraint Selection Strategies in Train Routing with Moving Block Control. Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), 39, 585–590.
Enhancing Reaction Systems with Guards for Analysing Comorbidity Treatment Strategies

Bowles, J., Brodo, L., Bruni, R., Falaschi, M., Gori, R., & Milazzo, P. (2024). Enhancing Reaction Systems with Guards for Analysing Comorbidity Treatment Strategies. Computational Methods in Systems Biology, 27–44.
First Experiments on Automated Execution of Gherkin Test Specifications with Collaborating LLM Agents

Bergsmann, S., Schmidt, A., Fischer, S., & Ramler, R. (2024). First Experiments on Automated Execution of Gherkin Test Specifications with Collaborating LLM Agents. Proceedings of the 15th ACM International Workshop on Automating Test Case Design, Selection and Evaluation, 12–15.
Load Shifting in Energy Communities by Providing User-Centered Recommendations - Forecast, Optimization and Potential

Gaisberger, L., Chasparis, G. C., & Traunmüller, W. (2024). Load Shifting in Energy Communities by Providing User-Centered Recommendations – Forecast, Optimization and Potential. 41st European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC 2024).
QDMI - Quantum Device Management Interface: Hardware-Software Interface for the Munich Quantum Software Stack

Wille, R., Schmid, L., Stade, Y., Echavarria, J., Schulz, M., Schulz, L., & Burgholzer, L. (2024). QDMI - Quantum Device Management Interface: Hardware-Software Interface for the Munich Quantum Software Stack. 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 573–574.
Technology Mapping for Cryogenic CMOS Circuits

Hien, B., Walter, M., van Santen, V. M., Klemme, F., Parihar, S. S., Pahwa, G., Chauhan, Y. S., Amrouch, H., & Wille, R. (2024). Technology Mapping for Cryogenic CMOS Circuits. 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 272–277.
Towards Equivalence Checking of Classical Circuits Using Quantum Computing

Quetschlich, N., Forster, T. V., Osterwind, A., Helms, D., & Wille, R. (2024). Towards Equivalence Checking of Classical Circuits Using Quantum Computing. 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 268–274.
Using Compiler Frameworks for the Evaluation of Hardware Design Choices in Trapped-Ion Quantum Computers

Schoenberger, D., Hillmich, S., Brand, M., & Wille, R. (2024). Using Compiler Frameworks for the Evaluation of Hardware Design Choices in Trapped-Ion Quantum Computers. 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 1102–1108.
Utilizing Resource Estimation for the Development of Quantum Computing Applications

Quetschlich, N., Soeken, M., Murali, P., & Wille, R. (2024). Utilizing Resource Estimation for the Development of Quantum Computing Applications. 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 232–238.
A Framework for the Design and Realization of Alternative Superconducting Quantum Architectures

Kunasaikaran, J., Mato, K., & Wille, R. (2024). A Framework for the Design and Realization of Alternative Superconducting Quantum Architectures. 2024 IEEE 54th International Symposium on Multiple-Valued Logic (ISMVL), 91–96.
Challenges for Quantum Software Engineering: An Industrial Application Scenario Perspective

Carbonelli, C., Felderer, M., Jung, M., Lobe, E., Lochau, M., Luber, S., Mauerer, W., Ramler, R., Schaefer, I., & Schroth, C. (2024). Challenges for Quantum Software Engineering: An Industrial Application Scenario Perspective. Quantum Software, 311–335.
Database and Expert Systems Applications - DEXA 2024 Workshops

Database and Expert Systems Applications - DEXA 2024 Workshops. (2024). In B. Moser, L. Fischer, A. Mashkoor, J. Sametinger, A.-C. Glock, M. Mayr, & S. Luftensteiner (Eds.), Communications in Computer and Information Science. Springer Nature Switzerland.
Dynamic Time Warping for Phase Recognition in Tribological Sensor Data

Glock, A.-C., & Fürnkranz, J. (2024). Dynamic Time Warping for Phase Recognition in Tribological Sensor Data. Big Data Analytics and Knowledge Discovery, 245–250.
How Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters

Steidl, M., Dornauer, B., Felderer, M., Ramler, R., Racasan, M.-C., & Gattringer, M. (2024). How Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters. 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 364–372.
Knowledge Guided Clustering Medieval Polychromy

Sobieczky, F., & Sobieczky, E. (2024). Knowledge Guided Clustering Medieval Polychromy. Database and Expert Systems Applications - DEXA 2024 Workshops, 115–125.
Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry

Mayr, M., Chasparis, G. C., & Küng, J. (2024). Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry. Big Data Analytics and Knowledge Discovery, 34–47.
Multi-controlled Phase Gate Synthesis with ZX-calculus applied to Neutral Atom Hardware

Staudacher, K., Schmid, L., Zeiher, J., Wille, R., & Kranzlmüller, D. (2024). Multi-controlled Phase Gate Synthesis with ZX-calculus applied to Neutral Atom Hardware. Electronic Proceedings in Theoretical Computer Science, 406, 96–116.
NADA: NMF-based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-files

Luftensteiner, S., Praher, P., & Schwarz, N. (2024). NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files. Big Data Analytics and Knowledge Discovery, 369–374.
On the Solvability of the XOR Problem by Spiking Neural Networks

Moser, B. A., & Lunglmayr, M. (2024). On the Solvability of the XOR Problem by Spiking Neural Networks. Database and Expert Systems Applications - DEXA 2024 Workshops, 57–66.
Risk Assessment in AI System Engineering: Experiences and Lessons Learned from a Practitioner’s Perspective

Fuchs, M., Fischer, L., Montuoro, A., Kumar, M., & Moser, B. A. (2024). Risk Assessment in AI System Engineering: Experiences and Lessons Learned from a Practitioner’s Perspective. Database and Expert Systems Applications - DEXA 2024 Workshops, 67–76.
Stripping Quantum Decision Diagrams of their Identity

Sander, A., Florea, I.-A., Burgholzer, L., & Wille, R. (2024). Stripping Quantum Decision Diagrams of their Identity. 2024 IEEE International Conference on Quantum Software (QSW), 168–174.
Supervised and penalized baseline correction

Erik Andries, Ramin Nikzad-Langerodi, Supervised and penalized baseline correction, Chemometrics and Intelligent Laboratory Systems, 2024,105200, ISSN 0169-7439, https://doi.org/10.1016/j.chemolab.2024.105200.
The Metamorphic Lighthouse: Understanding the Input Data Space of Metamorphic Relations

Duque-Torres, A., Pfahl, D., Klammer, C., Fischer, S., & Ramler, R. (2024). The Metamorphic Lighthouse: Understanding the Input Data Space of Metamorphic Relations. 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 379–386.
The MQT Handbook : A Summary of Design Automation Tools and Software for Quantum Computing

Wille, R., Berent, L., Forster, T., Kunasaikaran, J., Mato, K., Peham, T., Quetschlich, N., Rovara, D., Sander, A., Schmid, L., Schönberger, D., Stade, Y., & Burgholzer, L. (2024). The MQT Handbook : A Summary of Design Automation Tools and Software for Quantum Computing. 2024 IEEE International Conference on Quantum Software (QSW), 1–8.
The Past, Present, and Future of Research on the Continuous Development of AI

Steidl, M., Ramler, R., & Felderer, M. (2024). The Past, Present, and Future of Research on the Continuous Development of AI. 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 300–308.
Towards an Automatic Framework for Solving Optimization Problems with Quantum Computers

Volpe, D., Quetschlich, N., Graziano, M., Turvani, G., & Wille, R. (2024). Towards an Automatic Framework for Solving Optimization Problems with Quantum Computers. 2024 IEEE International Conference on Quantum Software (QSW), 46–57.
Towards Application-Aware Quantum Circuit Compilation

Quetschlich, N., Kiwit, F. J., Wolf, M. A., Riofrio, C. A., Burgholzer, L., Luckow, A., & Wille, R. (2024). Towards Application-Aware Quantum Circuit Compilation. 2024 IEEE International Conference on Quantum Software (QSW), 135–142.
A Hierarchical Framework for Interpretable, Safe, and Specialized Deep Reinforcement Learning: Applications in Industrial Maintenance, Process Control, and Robotics

Abbas, A. (2024). A Hierarchical Framework for Interpretable, Safe, and Specialised Deep Reinforcement Learning [Technological University Dublin]. https://doi.org/10.21427/P05P-AZ54
Der Begriff des "KI-Systems" unter der neuen KI-VO - Vorschlag eines "Drei-Faktor-Ansatzes" zur Beseitigung juristischer und technischer Ungereimtheiten

Wendehorst/Nessler/Aufreiter/Aichinger, Der Begriff des "KI-Systems" unter der neuen KI-VO, Multimedia und Recht MMR 07-2024, 605.
DQD: The Data Quality Definition Ontology

Schrott, J., Meindl, R., Lettner, C., Wöß, W., Ehrlinger, L. (2024). DQD: The Data Quality Definition Ontology. In: Garoufallou, E., Sartori, F. (eds) Metadata and Semantic Research. MTSR 2023. Communications in Computer and Information Science, vol 2048. Springer, Cham.
Exploring the Influence of Human System Interfaces: Introducing Support Tools and an Experimental Study

Amazu, C. W., Mietkiewicz, J., Abbas, A. N., Briwa, H., Alonso-Perez, A., Baldissone, G., Fissore, D., Demichela, M., & Leva, M. C. (2024). Exploring the Influence of Human System Interfaces: Introducing Support Tools and an Experimental Study. International Journal of Human–Computer Interaction, 1–18.
GlueZilla: Efficient and Scalable Software to Hardware Binding using Rowhammer

Mechelinck, R., Dorfmeister, D., Fischer, B., Volckaert, S., & Brunthaler, S. (2024). GlueZilla: Efficient and Scalable Software to Hardware Binding using Rowhammer. Lecture Notes in Computer Science, 416–438.
Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach

Abbas, A. N., Mehak, S., Chasparis, G. C., Kelleher, J. D., Guilfoyle, M., Leva, M. C., & Ramasubramanian, A. K. (2024). Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach. 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), 16, 2917–2923.
SNN Architecture for Differential Time Encoding Using Decoupled Processing Time

Windhager, D., Moser, B. A., & Lunglmayr, M. (2024). SNN Architecture for Differential Time Encoding Using Decoupled Processing Time. 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS).
Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on Analysis and Error Bounds

Moser, B. A., & Lunglmayr, M. (2024). Spiking neural networks in the Alexiewicz topology: A new perspective on analysis and error bounds. Neurocomputing, 128190.
XentricAI: A Gesture Sensing Calibration Approach Through Explainable and User-Centric AI

Seifi, S., Sukianto, T., Strobel, M., Carbonelli, C., Servadei, L., & Wille, R. (2024). XentricAI: A Gesture Sensing Calibration Approach Through Explainable and User-Centric AI. Explainable Artificial Intelligence, 232–246.
Design Considerations for a Multi-user General-purpose Flow-based Visual Programming Environment

Brandstätter, U., Schenkenfelder, B., Hohensinger, D., & Kirchtag, H. (2024). Design Considerations for a Multi-user General-purpose Flow-based Visual Programming Environment. Proceedings of the 2024 International Conference on Advanced Visual Interfaces.
Lessons Learnt From Human-In-Loop Experimental Scenarios For Advanced Automation In Process Safety

C. W. Amazu, J. Mietkiewicz, A. N. Abbas, G. Baldissone, M. Demichela, D. Fissorea, & M. C. Leva, (2024). Lessons Learnt From Human-In-Loop Experimental Scenarios For Advanced Automation In Process Safety. Proceedings of the 34th European Safety and Reliability Conference (ESREL2024).
MNT Bench: Benchmarking Software and Layout Libraries for Field-Coupled Nanocomputing

Hofmann, S., Walter, M., & Wille, R. (2024). MNT Bench: Benchmarking Software and Layout Libraries for Field-Coupled Nanocomputing. 2024 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 1–2.
Modal Extensions of the Logic of Abstract State Machines

Ferrarotti, F., & Schewe, K.-D. (2024). Modal Extensions of the Logic of Abstract State Machines. Rigorous State-Based Methods, 123–140.
Similarity-based client selection for mitigating privacy risks and data heterogeneity in federated learning

Fuchs, Magdalena. (2024). Similarity-based client selection for mitigating privacy risks and data heterogeneity in federated learning. Master Thesis, Technische Universität Graz. https://doi.org/10.3217/9ES6Z-RWR91
Variational Bayesian Deep Fuzzy Models for Interpretable Classification

Kumar, M., Singh, S., & Bowles, J. (2024). Variational Bayesian deep fuzzy models for interpretable classification. Engineering Applications of Artificial Intelligence, 132, 107900.
Water Demand Prediction utilising Graph Federated Learning

Brucker, M. (2024). Water Demand Prediction utilising Graph Federated Learning. Master Thesis, University of Applied Sciences Upper Austria, Hagenberg
Controlled Local Surrogate Modeling for Classification

Sobieczky, F., Dudkin, E., & Zesinek, J. (2024). Learning the inhomogenous term of a linear ODE. Procedia Computer Science, 232, 1548–1553.
A News Article Tag Categorization Ontology

Ehrlinger, L., Holzner, H., Hemelmayr, N., & Wöß, W. (2024). A News Article Tag Categorization Ontology. Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing.
Atomic Defect-Aware Physical Design of Silicon Dangling Bond Logic on the H-Si(100)-2x1 Surface

Walter, M., Croshaw, J., Hang Ng, S. S., Walus, K., Wolkow, R., & Wille, R. (2024). Towards Atomic Defect-Aware Physical Design of Silicon Dangling Bond Logic on the H -Si $(100)-2\times 1$ Surface. 2024 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 1–2.
Design Automation for Organs-on-Chip

Emmerich, M., Ebner, P., & Wille, R. (2024). Design Automation for Organs-on-Chip. 2024 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 1–6.
P3LS: Partial Least Squares under privacy preservation

Nguyen Duy, D., & Nikzad-Langerodi, R. (2024). P3LS: Partial Least Squares under privacy preservation. Journal of Process Control, 138, 103229.
Predictive change point detection for heterogeneous data

Glock, A.-C., Sobieczky, F., Fürnkranz, J., Filzmoser, P., & Jech, M. (2024). Predictive change point detection for heterogeneous data. Neural Computing and Applications.
Towards Cycle-based Shuttling for Trapped-Ion Quantum Computers

Schoenberger, D., Hillmich, S., Brandl, M., & Wille, R. (2024). Towards Cycle-based Shuttling for Trapped-Ion Quantum Computers (Extended Abstract). 2024 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 1–2.
Software Quality as a Foundation for Security: Proceedings of the 16th International Conference on Software Quality, SWQD 2024

Software Quality as a Foundation for Security. (2024). In P. Bludau, R. Ramler, D. Winkler, & J. Bergsmann (Eds.), Lecture Notes in Business Information Processing. Springer Nature Switzerland.
A Complete Fragment of LTL(EB)

Ferrarotti, F., Rivière, P., Schewe, K.-D., Singh, N. K., & Ameur, Y. A. (2024). A Complete Fragment of LTL(EB). Foundations of Information and Knowledge Systems, 237–255.
A PUF-Based Approach for Copy Protection of IP in Neural Network Models

Dorfmeister, D., Ferrarotti, F., Fischer, B., Schwandtner, M., & Sochor, H. (2024). A PUF-Based Approach for Copy Protection of Intellectual Property in Neural Network Models. Lecture Notes in Business Information Processing, 153–169.
An Overview of Microservice-Based Systems Used for Evaluation in Testing and Monitoring: A Systematic Mapping Study

Fischer, S., Urbanke, P., Ramler, R., Steidl, M., & Felderer, M. (2024). An Overview of Microservice-Based Systems Used for Evaluation in Testing and Monitoring: A Systematic Mapping Study. Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024).
Industrial Experience Report on AI-Assisted Coding in Professional Software Development

Ramler, R., Moser, M., Fischer, L., Nissl, M., & Heinzl, R. (2024). Industrial Experience Report on AI-Assisted Coding in Professional Software Development. Proceedings of the 1st International Workshop on Large Language Models for Code, 1–7.
Responsible AI Engineering: The Case of an Inclusive Image Annotation Team in a Global Technology Company

Schenkenfelder, B., Brandstätter, U., Fischer, L., Ramler, R., Laister, D., Hartl, M., & Wurm, M. (2024). Responsible AI Engineering: The Case of an Inclusive Image Annotation Team in a Global Technology Company. Proceedings of the 2nd International Workshop on Responsible AI Engineering.
Source Code Clone Detection Using Unsupervised Similarity Measures

Martinez-Gil, J. (2024). Source Code Clone Detection Using Unsupervised Similarity Measures. Lecture Notes in Business Information Processing, 21–37.
Thinking Outside the Clock: Physical Design for Field-coupled Nanocomputing with Deep Reinforcement Learning

Hofmann, S., Walter, M., Servadei, L., & Wille, R. (2024). Thinking Outside the Clock: Physical Design for Field-coupled Nanocomputing with Deep Reinforcement Learning. 2024 25th International Symposium on Quality Electronic Design (ISQED), 1–8.
Towards Integrating Knowledge Graphs into Process- Oriented Human-AI Collaboration in Industry

Heinzl, B., Silvina, A., Krause, F., Schwarz, N., Kurniawan, K., Kiesling, E., Pichler, M., & Moser, B. (2024). Towards Integrating Knowledge Graphs into Process-Oriented Human-AI Collaboration in Industry. Lecture Notes in Business Information Processing, 76–87.
Application domain definition for functional trustworthiness certification of AI

Schmid, S., Aufreiter, A, & Nessler, B. (2024). Application domain definition for functional trustworthiness certification of AI. AIRoV – The First Austrian Symposium on AI, Robotics, and Vision (accepted).
FedMSPC: A Federated Multivariate Statistical Process Control Framework For Privacy-preserving Process Modeling Across Company Borders

Nguyen Duy, D., Gabauer, D., & Nikzad-Langerodi, R. (2024). FedMSPC: A Federated Multivariate Statistical Process Control Framework For Privacy-Preserving Process Modeling Across Company Borders. Lecture Notes in Mechanical Engineering, 29–47.
Fuzzing-based Grammar Learning from a Minimal Set of Seed Inputs

Sochor, H., Ferrarotti, F., & Kaufmann, D. (2024). Fuzzing-based grammar learning from a minimal set of seed inputs. Journal of Computer Languages, 78, 101252.
Identification of similarities and clusters of bread baking recipes based on data of ingredients

Anlauf, S., Dorl, S., Hirz, T., Lasslberger, M., Grassmann, R., Himmelbauer, J., & Winkler, S. (2024). Identification of similarities and clusters of bread baking recipes based on data of ingredients. International Journal of Food Engineering, 0(0).
Introducing a Linter in an Industrial Lua Code Base

Walchshofer, A., Fischer, S., Wöß, A., Duque-Torres, A., Löberbauer, M., & Koll, G. (2024, March). Introducing a Linter in an Industrial Lua Code Base. In 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering-Companion (SANER-C) (pp. 191-198). IEEE.
Learning the inhomogeneous term of a linear ODE

Sobieczky, F., Dudkin, E., & Zesinek, J. (2024). Learning the inhomogenous term of a linear ODE. Procedia Computer Science, 232, 1548–1553.
MetaExploreX: A Visualisation Tool for Selecting and Constraining Metamorphic Relations

Duque-Torres, A., Pfahl, D., Klammer, C., & Fischer, S. (2024). MetaExploreX: A Visualisation Tool for Selecting and Constraining Metamorphic Relations. 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering - Companion (SANER-C), 219–222.
PAS - A Feature Selection Process Definition for Industrial Settings

Luftensteiner, S., Chasparis, G. C., & Küng, J. (2024). PAS - A Feature Selection Process Definition for Industrial Settings. Procedia Computer Science, 232, 308–316.
Semantic Modeling of Architecture Decision Records to Enable AI-based Analysis

Karetnikov, A., Ehrlinger, L., Buchgeher, G., & Geist, V. (2024). Semantic Modeling of Architecture Decision Records to Enable AI-based Analysis. 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Subspace Corrected Relevance Learning with Application in Neuroimaging

van Veen, R., Tamboli, N. R. B., Lövdal, S., Meles, S. K., Renken, R. J., de Vries, G.-J., Arnaldi, D., Morbelli, S., Clavero, P., Obeso, J. A., Oroz, M. C. R., Leenders, K. L., Villmann, T., & Biehl, M. (2024). Subspace corrected relevance learning with application in neuroimaging. Artificial Intelligence in Medicine, 149, 102786.
The Need for Speed: Efficient Exact Simulation of Silicon Dangling Bond Logic

Drewniok, J., Walter, M., & Wille, R. (2024). The Need for Speed: Efficient Exact Simulation of Silicon Dangling Bond Logic. 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC).
Experiment Data: Human-in-the-loop Decision Support in Process Control Rooms

Amazu, C. W., Mietkiewicz, J., Abbas, A. N., Briwa, H., Perez, A. A., Baldissone, G., Demichela, M., Fissore, D., Madsen, A. L., & Leva, M. C. (2024). Experiment Data: Human-in-the-loop Decision Support in Process Control Rooms. Data in Brief, 110170.
Investigating the Readability of Test Code: Combining Scientific and Practical Views

Winkler, D., Urbanke, P., & Ramler, R. (2024). Investigating the readability of test code. Empirical Software Engineering, 29(2).
On Mitigating the Utility-Loss in Differentially Private Learning: A new Perspective by a Geometrically Inspired Kernel Approach

Kumar, M., Moser, B. A., & Fischer, L. (2024). On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach. Journal of Artificial Intelligence Research, 79, 515–567.
Data Pipeline Quality: Influencing Factors, Root Causes of Data-related Issues, and Processing Problem Areas for Developers

Foidl, H., Golendukhina, V., Ramler, R., & Felderer, M. (2024). Data pipeline quality: Influencing factors, root causes of data-related issues, and processing problem areas for developers. Journal of Systems and Software, 207, 111855.
Enhancing Control Room Operator Decision Making

Mietkiewicz, J.; Abbas, A.N.; Amazu, C.W.; Baldissone, G.; Madsen, A.L.; Demichela, M.; Leva, M.C. Enhancing Control Room Operator Decision Making. Processes 2024, 12, 328. https://doi.org/10.3390/pr12020328
Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance

Abbas, A. N., Chasparis, G. C., & Kelleher, J. D. (2024). Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance. Data & Knowledge Engineering, 149, 102240.
Innovating Industry with Research: eknows and Sysparency

Geist, V., Moser, M., Pichler, J., & Schnitzhofer, F. (2024). Innovating Industry with Research: eknows and Sysparency. IEEE Software, 1–7.
Using Boolean Satisfiability for Exact Shuttling in Trapped-Ion Quantum Computers

Schoenberger, D., Hillmich, S., Brandl, M., & Wille, R. (2024). Using Boolean Satisfiability for Exact Shuttling in Trapped-Ion Quantum Computers. 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC).
An Introduction to AI: System I & II

Nessler/Aufreiter/Mederitsch/Aichinger/Schmid, An Introduction to AI : System I & II, WU Tax Technology Conference 2024 (accepted)
CantorNet - A Sandbox for Testing Geometrical and Topological Measures

Michal Lewandowski, Hamid Eghbalzadeh, & Bernhard A. Moser (2024). CantorNet: A Sandbox for Testing Topological and Geometrical Measures. In NeurIPS 2024 Workshop on Symmetry and Geometry in Neural Representations.
Data Validation Utilizing Expert Knowledge and Shape Constraints

Bachinger, F., Ehrlinger, L., Kronberger, G., & Wöß, W. (2024). Data Validation Utilizing Expert Knowledge and Shape Constraints. Journal of Data and Information Quality.
2023
Closing the Loop: Towards a Complete Metamorphic Testing Pipeline

Duque-Torres, A., & Pfahl, D. (2023). Closing the Loop: Towards a Complete Metamorphic Testing Pipeline. Lecture Notes in Computer Science, 146–151.
Is It the Best Solution? Testing an Optimisation Algorithm with Metamorphic Testing

Duque-Torres, A., Klammer, C., Fischer, S., & Pfahl, D. (2023). Is It the Best Solution? Testing an Optimisation Algorithm with Metamorphic Testing. Lecture Notes in Computer Science, 339–354.
Using AI-Based Code Completion for Domain-Specific Languages

Piereder, C., Fleck, G., Geist, V., Moser, M., & Pichler, J. (2023). Using AI-Based Code Completion for Domain-Specific Languages. Lecture Notes in Computer Science, 227–242.
Comparative Analysis of SRAM PUF Temperature Susceptibility on Embedded Systems

Zeinzinger, M., Langer, J., Eibensteiner, F., Petz, P., Drack, L., Dorfmeister, D., & Ramler, R. (2023). Comparative Analysis of SRAM PUF Temperature Susceptibility on Embedded Systems. 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET).
DValidator: An approach for validating dependencies in build configurations

Macho, C., Oraze, F., & Pinzger, M. (2023). DValidator: An approach for validating dependencies in build configurations. Journal of Systems and Software, 111916.
Rethinking data augmentation for adversarial robustness

Eghbal-zadeh, H., Zellinger, W., Pintor, M., Grosse, K., Koutini, K., Moser, B. A., Biggio, B., & Widmer, G. (2024). Rethinking data augmentation for adversarial robustness. Information Sciences, 654, 119838.
A novel EGs-based framework for systematic propositional-formula simplification

Francès de Mas, J., & Bowles, J. (2023). A Novel EGs-Based Framework for Systematic Propositional-Formula Simplification. Logic-Based Program Synthesis and Transformation, 169–187.
Deep Learning for tabular data

Kostromin, Oleg. (2023). Deep Learning for Tabular Data. Master Thesis, Johannes Kepler University Linz. https://epub.jku.at/obvulihs/content/titleinfo/9293186
Functional trustworthiness of AI systems by statistically valid testing

Nessler, B., Hochreiter, S., & Doms, T. (2023). Functional trustworthiness of AI systems by statistically valid testing. Position paper to the current regulation and standardization effort of AI in Europe. SCCH Technical Report. https://doi.org/10.48550/arXiv.2310.02727
Getting QuantumReady: A Framework for Exploiting Quantum Computing in SMEs

Hillmich, S., Bruckner, S., Ferrarotti, F., & Ramler, R. (2023). Getting QuantumReady: A Framework for Exploiting Quantum Computing in SMEs. Munich Quantum Software Forum (MQSF 2023)
Secure Federated Learning with Kernel Affine Hull Machines

Kumar, M., Moser, B., & Fischer, L. (2023). Secure Federated Learning with Kernel Affine Hull Machines. ESANN 2023 Proceesdings.
Specification-based Test Case Generation for C++ Engineering Software

Hamberger, P., Klammer, C., Luger, T., Moser, M., Pfeiffer, M., & Piereder, C. (2023). Specification-based Test Case Generation for C++ Engineering Software. 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME).
Towards a Complete Metamorphic Testing Pipeline

Duque-Torres, A., & Pfahl, D. (2023). Towards a Complete Metamorphic Testing Pipeline. 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME).
Towards an Ontology for Technical Security Standards

Illescas, J., Ehrlinger, L., Denk, G., & Buchgeher, G. (2023). Towards an Ontology for Technical Security Standards. 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA).
Activity of Single Insect Olfactory Receptors Triggered by Airborne Compounds Recorded in Self-Assembled Tethered Lipid Bilayer Nanoarchitectures

Kleinheinz, D., D’Onofrio, C., Carraher, C., Bozdogan, A., Ramach, U., Schuster, B., Geiß, M., Valtiner, M., Knoll, W., & Andersson, J. (2023). Activity of Single Insect Olfactory Receptors Triggered by Airborne Compounds Recorded in Self-Assembled Tethered Lipid Bilayer Nanoarchitectures. ACS Applied Materials & Interfaces, 15(40), 46655–46667.
An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning

Kumar, M., Moser, B. A., Fischer, L., & Freudenthaler, B. (2023). An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning. Algorithms, 16(9), 450.
Automation and Development Effort in Continuous AI Development: A Practitioners’ Survey

Steidl, M., Golendukhina, V., Felderer, M., & Ramler, R. (2023). Automation and Development Effort in Continuous AI Development: A Practitioners’ Survey. 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).
Compiler Optimization for Quantum Computing Using Reinforcement Learning

Quetschlich, N., Burgholzer, L., & Wille, R. (2023). Compiler Optimization for Quantum Computing Using Reinforcement Learning. 2023 60th ACM/IEEE Design Automation Conference (DAC).
Design Automation for Cryogenic CMOS Circuits

van Santen, V. M., Walter, M., Klemme, F., Parihar, S. S., Pahwa, G., Chauhan, Y. S., Wille, R., & Amrouch, H. (2023). Design Automation for Cryogenic CMOS Circuits. 2023 60th ACM/IEEE Design Automation Conference (DAC).
Documenting and Comparing OPC UA Information Models

S. Schöberl, B. Dorninger, A. Kern and V. Geist, "Documenting and Comparing OPC UA Information Models," 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), Sinaia, Romania, 2023, pp. 1-8, doi: 10.1109/ETFA54631.2023.10275554.
Dynamic Influence Diagram-Based Deep Reinforcement Learning Framework and Application for Decision Support for Operators in Control Rooms

Mietkiewicz, J., Abbas, A. N., Amazu, C. W., Madsen, A. L., & Baldissone, G. (2023). Dynamic Influence Diagram-Based Deep Reinforcement Learning Framework and Application for Decision Support for Operators in Control Rooms. Proceeding of the 33rd European Safety and Reliability Conference.
Efficient Implementation of Quantum Circuit Simulation with Decision Diagrams

Hillmich, S., & Wille, R. (2024). Efficient Implementation of Quantum Circuit Simulation with Decision Diagrams. Synthesis Lectures on Engineering, Science, and Technology.
Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review

Martinez-Gil, J., Hoch, T., Pichler, M., Heinzl, B., Moser, B., Kurniawan, K., Kiesling, E., & Krause, F. (2023). Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review. Artificial Intelligence in Manufacturing, 55–70.
Exploring a Test Data-Driven Method for Selecting and Constraining Metamorphic Relations

Duque-Torres, A., Pfahl, D., Klammer, C., & Fischer, S. (2023). Exploring a Test Data-Driven Method for Selecting and Constraining Metamorphic Relations. 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).
Iterative Design and Evaluation of a Low-Code Development Platform for Welding Robot Control

Schenkenfelder, B., Moser, M., Pfeiffer, M., Pichler, J., Salomon, C., & Winterer, M. (2023). Iterative Design and Evaluation of a Low-Code Development Platform for Welding Robot Control. 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA).
Late Breaking Results From Hybrid Design Automation for Field-coupled Nanotechnologies

Hofmann, S., Walter, M., Servadei, L., & Wille, R. (2023). Late Breaking Results From Hybrid Design Automation for Field-coupled Nanotechnologies. 2023 60th ACM/IEEE Design Automation Conference (DAC).
Leveraging Semantic Representations via Knowledge Graph Embeddings

Krause, F., Kurniawan, K., Kiesling, E., Martinez-Gil, J., Hoch, T., Pichler, M., Heinzl, B., & Moser, B. (2023). Leveraging Semantic Representations via Knowledge Graph Embeddings. Artificial Intelligence in Manufacturing, 71–85.
Mixed-Dimensional Quantum Circuit Simulation with Decision Diagrams

Mato, K., Hillmich, S., & Wille, R. (2023). Mixed-Dimensional Quantum Circuit Simulation with Decision Diagrams. 2023 IEEE International Conference on Quantum Computing and Engineering (QCE).
Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0

Hoch, T., Martinez-Gil, J., Pichler, M., Silvina, A., Heinzl, B., Moser, B., Eleftheriou, D., Estrada-Lugo, H. D., & Leva, M. C. (2023). Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0. Artificial Intelligence in Manufacturing, 407–421.
Representing piecewise linear functions by functions with small arity

Koutschan, C., Moser, B., Ponomarchuk, A., & Schicho, J. (2023). Representing piecewise linear functions by functions with small arity. Applicable Algebra in Engineering, Communication and Computing.
The Potential of Low-Code Development in the Manufacturing Industry

Schenkenfelder, B., Salomon, C., Buchgeher, G., Schossleitner, R., & Kerl, C. (2023). The Potential of Low-Code Development in the Manufacturing Industry. 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA).
Towards Automatic Generation of Amplified Regression Test Oracles

Duque-Torres, A., Klammer, C., Pfahl, D., Fischer, S., & Ramler, R. (2023). Towards Automatic Generation of Amplified Regression Test Oracles. 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).
Versatile Signal Distribution Networks for Scalable Placement and Routing of Field-coupled Nanocomputing Technologies

Walter, M., Hien, B., & Wille, R. (2023). Versatile Signal Distribution Networks for Scalable Placement and Routing of Field-coupled Nanocomputing Technologies. 2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).
An Approach for Safe and Secure Software Protection Supported by Symbolic Execution

Dorfmeister, D., Ferrarotti, F., Fischer, B., Haslinger, E., Ramler, R., & Zimmermann, M. (2023). An Approach for Safe and Secure Software Protection Supported by Symbolic Execution. Communications in Computer and Information Science, 67–78.
Database and Expert Systems Applications - DEXA 2023 Workshops Proceedings

Kotsis, G., Tjoa, A. M., Khalil, I., Moser, B., Mashkoor, A., Sametinger, J., & Khan, M. (Eds.). (2023). Database and Expert Systems Applications - DEXA 2023 Workshops. Communications in Computer and Information Science.
Deep fuzzy mapping nonparametric model for real-time demand estimation in water distribution systems: A new perspective

Zhang, Q., Yang, J., Zhang, W., Kumar, M., Liu, J., Liu, J., & Li, X. (2023). Deep fuzzy mapping nonparametric model for real-time demand estimation in water distribution systems: A new perspective. Water Research, 241, 120145.
DSD: The Data Source Description Vocabulary

Ehrlinger, L., Schrott, J., & Wöß, W. (2023). DSD: The Data Source Description Vocabulary. Communications in Computer and Information Science, 3–10.
Error mitigation enables PET radiomic cancer characterization on quantum computers

Moradi, S., Spielvogel, C., Krajnc, D., Brandner, C., Hillmich, S., Wille, R., Traub-Weidinger, T., Li, X., Hacker, M., Drexler, W., & Papp, L. (2023). Error mitigation enables PET radiomic cancer characterization on quantum computers. European Journal of Nuclear Medicine and Molecular Imaging.
GOLDCASE: A Generic Ontology Layer for Data Catalog Semantics

Schrott, J., Weidinger, S., Tiefengrabner, M., Lettner, C., Wöß, W., & Ehrlinger, L. (2023). GOLDCASE: A Generic Ontology Layer for Data Catalog Semantics. Communications in Computer and Information Science, 26–38.
Measuring Overhead Costs of Federated Learning Systems by Eavesdropping

Meindl, R., & Moser, B. A. (2023). Measuring Overhead Costs of Federated Learning Systems by Eavesdropping. Communications in Computer and Information Science, 33–42.
Membership-Mappings for Practical Secure Distributed Deep Learning

Kumar, M., Zhang, W., Fischer, L., & Freudenthaler, B. (2023). Membership-Mappings for Practical Secure Distributed Deep Learning. IEEE Transactions on Fuzzy Systems, 1–14.
Model-based Testing for a Family of Mobile Applications: Industrial Experiences

Fischer, S., Ramler, R., Assunção, W. K. G., Egyed, A., Gradl, C., & Auberger, S. (2023). Model-based Testing for a Family of Mobile Applications. Proceedings of the 27th ACM International Systems and Software Product Line Conference - Volume A.
Automated Cross Channel Temperature Predictions for the PFR Lime Kiln Operating Support

Kychkin, A. V., Chasparis, G. C., & Ellero, S. (2023). Automated Cross Channel Temperature Predictions for the PFR Lime Kiln Operating Support. 2023 31st Mediterranean Conference on Control and Automation (MED).
Automating Data Quality Monitoring with Reference Data Profiles

Ehrlinger, L., Werth, B., & Wöß, W. (2023). Automating Data Quality Monitoring with Reference Data Profiles. Data Management Technologies and Applications, 24–44.
Compression of Qubit Circuits: Mapping to Mixed-Dimensional Quantum Systems

Mato, K., Hillmich, S., & Wille, R. (2023). Compression of Qubit Circuits: Mapping to Mixed-Dimensional Quantum Systems. 2023 IEEE International Conference on Quantum Software (QSW).
Examples of Long-Term Science-Industry Partnerships for Translational Computer Science

Travnicek, C., Nowak, V., Ramler, R., Fischer, L., & Bühler, K. (2023). Examples of Long-Term Science–Industry Partnerships for Translational Computer Science. Computing in Science & Engineering, 25(1), 52–56.
Four Factors Affecting Missing Data Imputation

Hackl, A., Zeindl, J., & Ehrlinger, L. (2023). Four Factors Affecting Missing Data Imputation. 35th International Conference on Scientific and Statistical Database Management.
Modeling the Extra Pass in Basketball

Supola, B., Hoch, T., & Baca, A. (2023). Modeling the Extra Pass in Basketball. Advances in Intelligent Systems and Computing, 178–181.
Predicting Good Quantum Circuit Compilation Options

Quetschlich, N., Burgholzer, L., & Wille, R. (2023). Predicting Good Quantum Circuit Compilation Options. 2023 IEEE International Conference on Quantum Software (QSW).
Recommending Solution Paths for Solving Optimization Problems with Quantum Computing

Poggel, B., Quetschlich, N., Burgholzer, L., Wille, R., & Lorenz, J. M. (2023). Recommending Solution Paths for Solving Optimization Problems with Quantum Computing. 2023 IEEE International Conference on Quantum Software (QSW).
Scalable Physical Design for Silicon Dangling Bond Logic: How a 45° Turn Prevents the Reinvention of the Wheel

Hofmann, S., Walter, M., & Wille, R. (2023). Scalable Physical Design for Silicon Dangling Bond Logic: How a 45° Turn Prevents the Reinvention of the Wheel. 2023 IEEE 23rd International Conference on Nanotechnology (NANO).
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation

Nguyen Duy, D., Affenzeller, M., & Nikzad-Langerodi, R. (2023). Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. Proceedings of the Companion Conference on Genetic and Evolutionary Computation.
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

Cinà, A. E., Grosse, K., Demontis, A., Vascon, S., Zellinger, W., Moser, B. A., Oprea, A., Biggio, B., Pelillo, M., & Roli, F. (2023). Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Computing Surveys, 55(13s), 1–39.
Dynamic spillovers across precious metals and oil realized volatilities: Evidence from quantile extended joint connectedness measures

Cunado, J., Chatziantoniou, I., Gabauer, D., de Gracia, F. P., & Hardik, M. (2023). Dynamic spillovers across precious metals and oil realized volatilities: Evidence from quantile extended joint connectedness measures. Journal of Commodity Markets, 30, 100327.
HE-MAN - Homomorphically Encrypted MAchine learning with oNnx models

Nocker, M., Drexel, D., Rader, M., Montuoro, A., & Schöttle, P. (2023). HE-MAN – Homomorphically Encrypted MAchine learning with oNnx models. Proceedings of the 2023 8th International Conference on Machine Learning Technologies.
Integration and risk transmission in the market for crude oil

Chatziantoniou, I., Gabauer, D., & Gupta, R. (2023). Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach. Resources Policy, 84, 103729.
Neural network architecture optimization using automated machine learning for borehole resistivity measurements

Shahriari, M., Pardo, D., Kargaran, S., & Teijeiro, T. (2023). Neural network architecture optimization using automated machine learning for borehole resistivity measurements. Geophysical Journal International, 234(3), 2488–2501.
Optimized Density Matrix Representations: Improving the Basis for Noise-Aware Quantum Circuit Design Tools

Grurl, T., Fuß, J., & Wille, R. (2023). Optimized Density Matrix Representations : Improving the Basis for Noise-Aware Quantum Circuit Design Tools. 2023 IEEE 53rd International Symposium on Multiple-Valued Logic (ISMVL).
Towards an Automated Framework for Realizing Quantum Computing Solutions

Quetschlich, N., Burgholzer, L., & Wille, R. (2023). Towards an Automated Framework for Realizing Quantum Computing Solutions. 2023 IEEE 53rd International Symposium on Multiple-Valued Logic (ISMVL).
Using Architecture Decision Records in Open Source Projects - An MSR Study on GitHub

Buchgeher, G., Schöberl, S., Geist, V., Dorninger, B., Haindl, P., & Weinreich, R. (2023). Using Architecture Decision Records in Open Source Projects – An MSR Study on GitHub. IEEE Access, 1–1.
A New AKE Protocol for the Application in QKDNs Without Trusted Nodes

Bruckner, S. (2023). A New AKE Protocol for the Application in QKDNs Without Trusted Nodes. Master Thesis, University of Applied Sciences Upper Austria, Hagenberg, May 2023
A Survey on Legal Question Answering Systems

Martinez-Gil, J. (2023). A survey on legal question–answering systems. Computer Science Review, 48, 100552.
An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization

Kromp, F., Wagner, R., Balaban, B., Cottin, V., Cuevas-Saiz, I., Schachner, C., Fancsovits, P., Fawzy, M., Fischer, L., Findikli, N., Kovačič, B., Ljiljak, D., Martínez-Rodero, I., Parmegiani, L., Shebl, O., Min, X., & Ebner, T. (2023). An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization. Scientific Data, 10(1).
Analysis of Library Dependency Networks of Package Managers Used in iOS Development

Rahkema, K., Pfahl, D., & Ramler, R. (2023). Analysis of Library Dependency Networks of Package Managers Used in iOS Development. 2023 IEEE/ACM 10th International Conference on Mobile Software Engineering and Systems (MOBILESoft).
Applying a Genetic Algorithm for Test Suite Reduction in Industry

Stadler, P., Plösch, R., & Ramler, R. (2023). Applying a Genetic Algorithm for Test Suite Reduction in Industry. Lecture Notes in Business Information Processing, 63–83.
Behavioural Theory of Reflective Algorithms

Ferrarotti, F., & Schewe, K.-D. (2023). Behavioural Theory of Reflective Algorithms. Lecture Notes in Computer Science, 238–244.
Bug or not Bug? Analysing the Reasons Behind Metamorphic Relation Violations

Duque-Torres, A., Pfahl, D., Klammer, C., & Fischer, S. (2023). Bug or not Bug? Analysing the Reasons Behind Metamorphic Relation Violations. 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Decision Making for Process Control Management in Control Rooms: A Survey Methodology and Initial Findings

Amazu C., Abbas A., Demichela M., Fissore D., (2023). Decision Making for Process Control Management in Control Rooms: a Survey Methodology and Initial Findings, Chemical Engineering Transactions, 99, 271-276.
Design of a Rowhammer-Based Unique Hardware Identification Mechanism

Fischer, B. (2023). Design of a Rowhammer-Based Unique Hardware Identification Mechanism. Master Thesis, University of Applied Sciences Upper Austria, Hagenberg. May 2023.
Efficient Implementation of LIMDDs for Quantum Circuit Simulation

Vinkhuijzen, L., Grurl, T., Hillmich, S., Brand, S., Wille, R., Laarman, A. (2023). Efficient Implementation of LIMDDs for Quantum Circuit Simulation. Model Checking Software. SPIN 2023. LNCS 13872. Springer,
Exploration of Reflective ASMs for Security

Tong, L., Xu, K., Hu, J., Ferrarotti, F., & Schewe, K.-D. (2023). Exploration of Reflective ASMs for Security. Lecture Notes in Computer Science, 185–192.
Insights from Building a GUI Testing Tool

Fischer, S. (2023). Insights from Building a GUI Testing Tool. 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way

Affenzeller, M., Bögl, M., Fischer, L., Sobieczky, F., Yang, K., & Zenisek, J. (2022). Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way. 2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).
R2C: AOCR-Resilient Diversity with Reactive and Reflective Camouflage

Berlakovich, F., & Brunthaler, S. (2023). R2C: AOCR-Resilient Diversity with Reactive and Reflective Camouflage. Proceedings of the Eighteenth European Conference on Computer Systems.
Testing of Highly Configurable Cyber-Physical Systems - Results from a Two-Phase Multiple Case Study

Fischer, S., Klammer, C., Fernández, A. M. G., Rabiser, R., & Ramler, R. (2023). Testing of highly configurable cyber–physical systems — Results from a two-phase multiple case study. Journal of Systems and Software, 199, 111624.
The Pipeline for the Continuous Development of Artificial Intelligence Models - Current State of Research and Practice

Steidl, M., Felderer, M., & Ramler, R. (2023). The pipeline for the continuous development of artificial intelligence models—Current state of research and practice. Journal of Systems and Software, 199, 111615.
Automatic Implementation and Evaluation of Error-Correcting Codes for Quantum Computing: An Open-Source Framework for Quantum Error Correction

Grurl, T., Pichler, C., Fuß, J., & Wille, R. (2023). Automatic Implementation and Evaluation of Error-Correcting Codes for Quantum Computing: An Open-Source Framework for Quantum Error Correction. 2023 36th International Conference on VLSI Design and 2023 22nd International Conference on Embedded Systems (VLSID).
Climate Risks and Forecasting Stock Market Returns in Advanced Economies over a Century

Balcilar, M., Gabauer, D., Gupta, R., & Pierdzioch, C. (2023). Climate Risks and Forecasting Stock Market Returns in Advanced Economies over a Century. Mathematics, 11(9), 2077.
Contemporaneous and lagged R2 decomposed connectedness approach: New evidence from the energy futures market

Balli, F., Ozer-Balli, H., Dang, T., & Gabauer, D. (2023). Return Transmission Mechanism Across Energy Futures: New Evidence from R 2 Decomposed Connectedness Measures. SSRN Electronic Journal.
Introducing QRogue: Teaching Quantum Computing Using a Rogue-like Game Concept

Artner, M., Wallner, G., & Wille, R. (2023). Introducing QRogue: Teaching Quantum Computing Using a Rogue-like Game Concept. Proceedings of the 18th International Conference on the Foundations of Digital Games.
Oil price shocks and exchange rate dynamics: Evidence from decomposed and partial connectedness measures for oil importing and exporting economies

Chatziantoniou, I., Elsayed, A. H., Gabauer, D., & Gozgor, G. (2023). Oil price shocks and exchange rate dynamics: Evidence from decomposed and partial connectedness measures for oil importing and exporting economies. Energy Economics, 120, 106627.
Ontology-based Multi-Perspective Process Mining in Laboratories: A Case Study

Mayrhuber, E., Helm, E., & Ehrlinger, L. (2024). Ontology-Based Multi-perspective Process Mining in Laboratories: A Case Study. Process Mining Workshops, 283–295.
Opening the black-box of Neighbor Embeddings with Hotelling’s T2 statistic and Q-residuals

Rainer, R. J., Mayr, M., Himmelbauer, J., & Nikzad-Langerodi, R. (2023). Opening the black-box of Neighbor Embeddings with Hotelling’s T2 statistic and Q-residuals. In Chemometrics and Intelligent Laboratory Systems (Vol. 238, p. 104840). Elsevier BV.
Transfer Learning for Semantic Similarity Measures based on Symbolic Regression

Martinez-Gil, J., & Chaves-Gonzalez, J. M. (2023). Transfer learning for semantic similarity measures based on symbolic regression. Journal of Intelligent & Fuzzy Systems, 45(1), 37–49.
What is Driving Connectedness? Stylized Facts from Mean and Volatility Dynamics

Antonakakis, N., Gabauer, D., & Chatziantoniou, I. (2023). What is Driving Connectedness? Stylized Facts from Mean and Volatility Dynamics. SSRN Electronic Journal.
Detection of Sensor-To-Sensor Variations using Explainable AI

Seifi, S., Schober, S. A., Carbonelli, C., Servadei, L., & Wille, R. (2023). Detection of Sensor-to-Sensor Variations Using Explainable AI. 2023 Smart Systems Integration Conference and Exhibition (SSI).
Editorial: Automated data curation and data governance automation

Talburt, J. R., Ehrlinger, L., & Magruder, J. (2023). Editorial: Automated data curation and data governance automation. Frontiers in Big Data, 6.
Global challenges reflected in software process improvement

Colomo‐Palacios, R., Messnarz, R., & Biró, M. (2023). Global challenges reflected in software process improvement. Journal of Software: Evolution and Process, 35(9). Portico.
Leveraging and Evaluating Automatic Code Summarization for JPA Program Comprehension

Mayer, R., Moser, M., & Geist, V. (2023). Leveraging and Evaluating Automatic Code Summarization for JPA Program Comprehension. 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Model-free connectedness measures

Gabauer, D., Chatziantoniou, I., & Stenfors, A. (2023). Model-free connectedness measures. Finance Research Letters, 54, 103804.
Modeling the extra pass in basketball – an assesment of one of the most crucial skills for creating great ball movement

Supola, B., Hoch, T., & Baca, A. (2023). Modeling the extra pass in basketball – an assessment of one of the most crucial skills for creating great ball movement. International Journal of Computer Science in Sport, 22(1), 13–29.
MQT QMAP: Efficient Quantum Circuit Mapping

Wille, R., & Burgholzer, L. (2023). MQT QMAP. Proceedings of the 2023 International Symposium on Physical Design.
Partial least squares regression with multiple domains

Mikulasek, B., Fonseca Diaz, V., Gabauer, D., Herwig, C., & Nikzad‐Langerodi, R. (2023). Partial least squares regression with multiple domains. Journal of Chemometrics. Portico.
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation

Dinu M., Holzleitner M., Beck M., Nguyen H., Huber A., Eghbal-zadeh H., Moser B., Pereverzyev S., Hochreiter S., Zellinger W. Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. ICLR 2023
Automatic Bounding Box Annotation with Small Training Data Sets for Industrial Manufacturing

Geiß, M., Wagner, R., Baresch, M., Steiner, J., & Zwick, M. (2023). Automatic Bounding Box Annotation with Small Training Datasets for Industrial Manufacturing. Micromachines, 14(2), 442.
KI-Net: AI-based Optimization in Industrial Manufacturing - A Project Overview

Freudenthaler, B., Martinez-Gil, J., Fensel, A., Höfig, K., Huber, S., & Jacob, D. (2022). KI-Net: AI-Based Optimization in Industrial Manufacturing—A Project Overview. Lecture Notes in Computer Science, 554–561.
Measuring the G20 Stock Market Return Transmission Mechanism: Evidence From the R2 Connectedness Approach

Naeem, M. A., Chatziantoniou, I., Gabauer, D., & Karim, S. (2023). Measuring the G20 Stock Market Return Transmission Mechanism: Evidence From the R2 Connectedness Approach. SSRN Electronic Journal.
Modeling the formation of defensive gaps in basketball: Cutting on a teammate’s drive

Supola, B., Hoch, T., & Baca, A. (2023). Modeling the formation of defensive gaps in basketball: Cutting on a teammate’s drive. PLOS ONE, 18(2), e0281467.
Neurofuzzy Semantic Similarity Measurement

Martinez-Gil, J., Mokadem, R., Küng, J., & Hameurlain, A. (2023). Neurofuzzy semantic similarity measurement. Data & Knowledge Engineering, 145, 102155.
Optimising Manufacturing Process with Bayesian Learning and Knowledge Graphs

Chhetri, T. R., Aghaei, S., Fensel, A., Göhner, U., Gül-Ficici, S., & Martinez-Gil, J. (2022). Optimising Manufacturing Process with Bayesian Structure Learning and Knowledge Graphs. Lecture Notes in Computer Science, 594–602.
Österreich in den europäischen Datenräumen: Visionspapier

Ruth Aigner, Norbert Amlacher, Paolo Budroni, ..., Hannes Gütler (2023). Österreich in den europäischen Datenräumen: Visionspapier. Data Intelligence Offensive. https://dataintelligence.at/wp-content/uploads/2023/11/DIO_Visionspapier_Oesterreich-in-den-Datenraeumen_final_2023.pdf
Predictive Modeling for Flexibility Load Forecasting in Prosumer Communities

Georgios C. Chasparis, "Predictive Modeling for Flexibility Load Forecasting in Prosumer Communities," IEWT'23, Vienna, Austria, 2023.
Representing Technical Standards as Knowledge Graph to Guide the Design of Industrial Systems

Illescas, J., Buchgeher, G., Ehrlinger, L., Gabauer, D., & Martinez-Gil, J. (2022). Representing Technical Standards as Knowledge Graph to Guide the Design of Industrial Systems. Lecture Notes in Computer Science, 603–610.
A SAT Encoding for Optimal Clifford Circuit Synthesis

Schneider, S., Burgholzer, L., & Wille, R. (2023). A SAT Encoding for Optimal Clifford Circuit Synthesis. Proceedings of the 28th Asia and South Pacific Design Automation Conference.
Compilation of Entangling Gates for High-Dimensional Quantum Systems

Mato, K., Ringbauer, M., Hillmich, S., and Wille, R. (2023). Compilation of Entangling Gates for High-Dimensional Quantum Systems. In: Asia and South Pacific Design Automation Conference (ASPDAC). ACM.
Decision Diagrams for Quantum Computing

Wille, R., Hillmich, S., & Burgholzer, L. (2023). Decision Diagrams for Quantum Computing. In: Rasit O. Topaloglu (Ed.), Design Automation of Quantum Computers. Springer, 2023.
Designing a Test Model for a Configurable System: An Exploratory Study of Preprocessor Directives and Feature Toggles

Fischer, S., Michelon, G. K., Assunção, W. K. G., Ramler, R., & Egyed, A. (2023). Designing a Test Model for a Configurable System: An Exploratory Study of Preprocessor Directives and Feature Toggles. Proceedings of the 17th International Working Conference on Variability Modelling of Software-Intensive Systems.
Differentially private transferrable deep learning with membership-mappings

Kumar, M. (2022). Differentially private transferrable deep learning with membership-mappings. Advances in Computational Intelligence, 3(1).
Dynamic Connectedness among the Implied Volatilities of Oil Prices and Financial Assets: New Evidence of the COVID-19 Pandemic

Antonakakis, N., Cunado, J., Filis, G., Gabauer, D., & de Gracia, F. P. (2023). Dynamic connectedness among the implied volatilities of oil prices and financial assets: New evidence of the COVID-19 pandemic. International Review of Economics & Finance, 83, 114–123.
Equivalence Checking of Parameterized Quantum Circuits: Verifying the Compilation of Variational Quantum Algorithms

Peham, T., Burgholzer, L., & Wille, R. (2023). Equivalence Checking of Parameterized Quantum Circuits. Proceedings of the 28th Asia and South Pacific Design Automation Conference.
Exploiting Reversible Computing for Verification: Potential, Possible Paths, and Consequences

Burgholzer, L., & Wille, R. (2023). Exploiting Reversible Computing for Verification. Proceedings of the 28th Asia and South Pacific Design Automation Conference.
Gathering Expert Knowledge in Process Industry

Luftensteiner, S., Chasparis, G. C., & Mayr, M. (2023). Gathering Expert Knowledge in Process Industry. Procedia Computer Science, 217, 960–968.
Improving Offline Deep Learning Models by Censored Online Data

Luftensteiner, S., & Zwick, M. (2023). Improving Virtual Sensor Models by Censored Online Data. Procedia Computer Science, 217, 938–947.
IndustrialEdgeML - End-to-end edge-based computer vision system for Industry 5.0

Wagner, R., Matuschek, M., Knaack, P., Zwick, M., & Geiß, M. (2023). IndustrialEdgeML - End-to-end edge-based computer vision system for Industry 5.0. Procedia Computer Science, 217, 594–603.
Machine-Learning Based Metadata Extraction for Smart Patient Records

Frame, C., Janjic, V., Shahriari, M., & Rossbory, M. (2022). Machine-Learning Based Metadata Extraction for Smart Patient Records. 4th International Workshop on Adaptive and Personalized Privacy and Security (APPS 2022).
Model‐based process improvement recommendation approaches

Biró, M., Colomo‐Palacios, R., & Messnarz, R. (2022). Model‐based process improvement recommendation approaches. Journal of Software: Evolution and Process, 35(8). Portico.
Optimizing Readability Using Genetic Algorithms

Martinez-Gil, J. (2024). Optimizing readability using genetic algorithms. Knowledge-Based Systems, 284, 111273.
Software Tools for Decoding Quantum Low-Density Parity Check Codes

Berent, L., Burgholzer, L., & Wille, R. (2023). Software Tools for Decoding Quantum Low-Density Parity-Check Codes. Proceedings of the 28th Asia and South Pacific Design Automation Conference.
Time-varying spillover of US trade war on the growth of emerging economies

Çepni, O., Gabauer, D., Gupta, R., & Ramabulana, K. (2023). Time-Varying Spillover of us Trade War on the Growth of Emerging Economies. The Journal of Developing Areas, 57(1), 167–181.
2022
A Comparative Study of Ensemble Techniques Based on Genetic Programming: A Case Study in Semantic Similarity Assessment

Martinez-Gil, J. (2022). A Comparative Study of Ensemble Techniques Based on Genetic Programming: A Case Study in Semantic Similarity Assessment. International Journal of Software Engineering and Knowledge Engineering, 33(02), 289–312.
A Framework for Evaluating the Readability of Test Code in the Context of Code Maintainability: A Family of Empirical Studies

Urbanke, P. (2022). A framework for evaluating the readability of test code in the context of code maintainability: A family of empirical studies [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.103606
Approximating Decision Diagrams for Quantum Circuit Simulation.

Hillmich, S., Zulehner, A., Kueng, R., Markov, I. L., & Wille, R. (2022). Approximating Decision Diagrams for Quantum Circuit Simulation. ACM Transactions on Quantum Computing, 3(4), 1–21.
Compact High-Performance Vibration Sensor Based on Single-Backplate MEMS Technology

Goswami, S., Bretthauer, C., Bogner, A., Basavanna, A., Anzinger, S., Haubold, M., Lorenz, G., Strasser, J., Weber, D., Servadei, L., & Wille, R. (2022). Compact High-Performance Vibration Sensor Based on Single-Backplate MEMS Technology. 2022 IEEE Sensors.
Multi-Cloud Query Optimisation with Accurate and Efficient Quoting

Wojtowicz, D. T., Yin, S., Martinez-Gil, J., Morvan, F., & Hameurlain, A. (2022). Multi-Cloud Query Optimisation with Accurate and Efficient Quoting. 2022 IEEE International Conference on Big Data (Big Data).
Three-Input NPN Class Gate Library for Atomic Silicon Quantum Dots.

Vieira, M. D., Ng, S. S. H., Walter, M., Wille, R., Walus, K., Ferreira, R. S., Neto, O. P. V., & Nacif, J. A. M. (2022). Three-Input NPN Class Gate Library for Atomic Silicon Quantum Dots. IEEE Design & Test, 39(6), 147–155.
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking.

Ott, J., Servadei, L., Mauro, G., Stadelmayer, T., Santra, A., & Wille, R. (2022). Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. International Conference on Machine Learning and Applications (ICMLA).
Utilizing Explainable AI for improving the Performance of Neural Networks.

Sun, Huawei, Servadei, Lorenzo, Feng, Hao, Stephan, Michael, Wille, Robert, & Santra, Avik. (2022). Utilizing Explainable AI for improving the Performance of Neural Networks (Version 1). arXiv.
Analysing the Relationship between Dependency Definition and Updating Practice when Using Third-Party Libraries

Rahkema, K., & Pfahl, D. (2022). Analysing the Relationship Between Dependency Definition and Updating Practice When Using Third-Party Libraries. Lecture Notes in Computer Science, 90–107.
Fuzzing-Based Grammar Inference

Sochor, H., Ferrarotti, F., & Kaufmann, D. (2022). Fuzzing-Based Grammar Inference. Lecture Notes in Computer Science, 72–86.
Independent policy, dependent outcomes: A game of cross-country dominoes across European yield curves

Stenfors, A., Chatziantoniou, I., & Gabauer, D. (2022). Independent policy, dependent outcomes: A game of cross-country dominoes across European yield curves. Journal of International Financial Markets, Institutions and Money, 81, 101658.
Inferring Metamorphic Relations from JavaDocs: A Deep Dive Into the MeMo Approach

Duque-Torres, A., & Pfahl, D. (2022). Inferring Metamorphic Relations from JavaDocs: A Deep Dive into the MeMo Approach. Lecture Notes in Computer Science, 418–432.
MMFT Droplet Simulator: Efficient Simulation of Droplet-based Mocrofluidic Devices

Fink, G., Costamoling, F., & Wille, R. (2022). MMFT Droplet Simulator: Efficient Simulation of Droplet-based Microfluidic Devices. Software Impacts, 14, 100440.
Preliminary Findings on the Occurrence and Causes of Data Smells in a Real-World Business Travel Data Processing Pipeline

Golendukhina, V., Foidl, H., Felderer, M., & Ramler, R. (2022). Preliminary findings on the occurrence and causes of data smells in a real-world business travel data processing pipeline. Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things.
Requirements for Anomaly Detection Techniques for Microservices

Steidl, M., Gattringer, M., Felderer, M., Ramler, R., & Shahriari, M. (2022). Requirements for Anomaly Detection Techniques for Microservices. Lecture Notes in Computer Science, 37–52.
A Refinement Based Algorithm for Learning Program Input Grammars

Sochor, H., & Ferrarotti, F. (2022). A Refinement Based Algorithm for Learning Program Input Grammars. Lecture Notes in Computer Science, 138–156.
AI-based Code Completion for Domain Specific Languages

Piereder, C. (2022). AI-based Code Completion for Domain Specific Languages. Master Thesis, University of Applied Sciences, Hagenberg. October 2022.
Assessing Industrial End-User Programming of Robotic Production Cells: A controlled experiment

Mayr-Dorn, C., Winterer, M., Salomon, C., Hohensinger, D., & Fürschuss, H. (2023). Assessing industrial end-user programming of robotic production cells: A controlled experiment. Journal of Systems and Software, 195, 111547.
Forecasting stock-market tail risk and connectedness in advanced economies over a century: The role of gold-to-silver and gold-to-platinum

Salisu, A. A., Pierdzioch, C., Gupta, R., & Gabauer, D. (2022). Forecasting stock-market tail risk and connectedness in advanced economies over a century: The role of gold-to-silver and gold-to-platinum price ratios. International Review of Financial Analysis, 83, 102300.
How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models?

Shahriari, M., Ramler, R., & Fischer, L. (2022). How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models? Machine Learning and Knowledge Extraction, 4(4), 888–911.
Potential of a Deep Convolutional Neural Network in the Selection of Human Blastocysts to Predict Clinical Pregnancy and Live Birth

Ebner, T., Wagner, R., Fischer, L., Shebl, O., Dacho, C., & Kromp, F. (2022). POTENTIAL OF A DEEP CONVOLUTIONAL NEURAL NETWORK IN THE SELECTION OF HUMAN BLASTOCYSTS TO PREDICT CLINCIAL PREGNANCY AND LIVE BIRTH. Fertility and Sterility, 118(4), e132.
A Digital Platform to Facilitate the Resilience of Rural Territories

Martinez-Gil, J., Pichler, M., Lentini, G., Mazzeschi, V., Doukhan, G., & Belet, C. (2022). A Digital Platform to Facilitate the Resilience of Rural Territories. Journal of Information & Knowledge Management, 21(03).
A Toolchain for Testing OPC UA Interfaces

Walchshofer, A., Klammer, C., & Fischer, S. (2022). A toolchain for testing OPC UA interfaces. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA).
Adaptive Compilation Mulit-Level Quantum Operations

Mato, K., Ringbauer, M., Hillmich, S., & Wille, R. (2022). Adaptive Compilation of Multi-Level Quantum Operations. 2022 IEEE International Conference on Quantum Computing and Engineering (QCE).
Comparing and Validating Neural Networks for Automatic Code Summarization

Mayer, R. (2022). Comparing and Validating Neural Networks for Automatic Code Summarization. Master Thesis, University of Applied Sciences, Hagenberg. September 2022.
Crude oil and Islamic sectoral stocks: Asymmetric connectedness and investment strategies

Adekoya, O. B., Akinseye, A. B., Antonakakis, N., Chatziantoniou, I., Gabauer, D., & Oliyide, J. (2022). Crude oil and Islamic sectoral stocks: Asymmetric TVP-VAR connectedness and investment strategies. Resources Policy, 78, 102877.
Functional Requirements for MLOps Systems utilized for the Simulation Component of Digital Twins

Rehberger, T. (2022). Functional Requirements for MLOps Systems utilized for the Simulation Component of Digital Twins. Master Thesis, University of Applied Sciences, Hagenberg. September 2022.
Identification of Similarities and Clusters of Bread Baking Recipes Based on Data of Ingredients

Anlau, S., Lasslberger, M., Grassmann, R., Himmelbauer, J., & Winkler, S. (2022). Identification of Similarities and Clusters of Bread Baking Recipes Based on Data of Ingredients. Proceedings of the 8th International Food Operations and Processing Simulation Workshop (FoodOPS 2022).
Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings

Picek, L., Šulc, M., Patel, Y., & Matas, J. (2022). Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings. Frontiers in Plant Science, 13.
Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturing

Haindl, P., Hoch, T., Dominguez, J., Aperribai, J., Ure, N. K., & Tunçel, M. (2022). Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturing. Quality of Information and Communications Technology, 3–17.
Recall@k Surrogate Loss with Large Batches and Similarity Mixup

Patel, Y., Tolias, G., & Matas, J. (2022). Recall@k Surrogate Loss with Large Batches and Similarity Mixup. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Sustainable semantic similarity assessment

Martinez-Gil, J., & Chaves-Gonzalez, J. M. (2022). Sustainable semantic similarity assessment. Journal of Intelligent & Fuzzy Systems, 43(5), 6163–6174.
Variational learning of deep fuzzy theoretic nonparametric model

Zhang, W., Kumar, M., Ding, W., Li, X., & Yu, J. (2022). Variational learning of deep fuzzy theoretic nonparametric model. Neurocomputing, 506, 128–145.
11th International Conference, EGOVIS 2022, Vienna, Austria, August 22–24, 2022, Proceedings

Kő, A., Francesconi, E., Kotsis, G., Tjoa, A. M., & Khalil, I. (Eds.). (2022). Electronic Government and the Information Systems Perspective. Lecture Notes in Computer Science.
24th International Conference, DaWaK 2022, Vienna, Austria, August 22–24, 2022, Proceedings

Wrembel, R., Gamper, J., Kotsis, G., Tjoa, A. M., & Khalil, I. (Eds.). (2022). Big Data Analytics and Knowledge Discovery. Lecture Notes in Computer Science.
A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SME

Qasim, M., Khan, M., Mehmood, W., Sobieczky, F., Pichler, M., & Moser, B. (2022). A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SME. Database and Expert Systems Applications - DEXA 2022 Workshops, 22–31.
A Scalable Microservice Infrastructure for Fleet Data Management

Meindl, R., Papesh, K., Baumgartner, D., & Helm, E. (2022). A Scalable Microservice Infrastructure for Fleet Data Management. Database and Expert Systems Applications - DEXA 2022 Workshops, 392–401.
A Synthetic Dataset for Anomaly Detection of Machine Behavior

Luftensteiner, S., & Praher, P. (2022). A Synthetic Dataset for Anomaly Detection of Machine Behavior. Database and Expert Systems Applications - DEXA 2022 Workshops, 424–431.
A Systematic Mapping Study of Predictive Maintenance in SMEs

Khan, M., Ahmad, A., Sobieczky, F., Pichler, M., Moser, B. A., & Bukovsky, I. (2022). A Systematic Mapping Study of Predictive Maintenance in SMEs. IEEE Access, 10, 88738–88749.
An untold tale of scientific collaboration: SCCH and AC2T

Kargaran, S., Glock, A.-C., Freudenthaler, B., Freudenberger, M., & Jech, M. (2022). An Untold Tale of Scientific Collaboration: SCCH and AC$$^2$$T. Database and Expert Systems Applications - DEXA 2022 Workshops, 119–128.
Applying Time-Inhomogeneous Markov Chains to Math Performance Rating

E.-M., Infanger, G., Lavicza, Z., & Sobieczky, F. (2022). Applying Time-Inhomogeneous Markov Chains to Math Performance Rating. Database and Expert Systems Applications - DEXA 2022 Workshops, 11–21.
Challenges in Mass Flow Estimation on Conveyor Belts in the Mining Industry: A Case Study

Heinzl, B., Hinterreiter, C., Roßbory, M., & Hinterdorfer, C. (2022). Challenges in Mass Flow Estimation on Conveyor Belts in the Mining Industry: A Case Study. Database and Expert Systems Applications - DEXA 2022 Workshops, 90–99.
Collaborative aspects of solving rail-track multi-sensor data fusion

Kromp, F., Hinterberger, F., Konanur, D., & Wieser, V. (2022). Collaborative Aspects of Solving Rail-Track Multi-sensor Data Fusion. Database and Expert Systems Applications - DEXA 2022 Workshops, 69–78.
Data Integration, Management, and Quality: From Basic Research to Industrial Application

Ehrlinger, L., Lettner, C., Fragner, W., Gsellmann, G., Nestelberger, S., Rauchenzauner, F., Schützeneder, S., Tiefengrabner, M., & Zeindl, J. (2022). Data Integration, Management, and Quality: From Basic Research to Industrial Application. Database and Expert Systems Applications - DEXA 2022 Workshops, 167–178.
Database and Expert Systems Applications - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22–24, 2022, Proceedings, Part I

Strauss, C., Cuzzocrea, A., Kotsis, G., Tjoa, A. M., & Khalil, I. (Eds.). (2022). Database and Expert Systems Applications. Lecture Notes in Computer Science.
Database and Expert Systems Applications - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22–24, 2022, Proceedings, Part II

Strauss, C., Cuzzocrea, A., Kotsis, G., Tjoa, A. M., & Khalil, I. (Eds.). (2022). Database and Expert Systems Applications. Lecture Notes in Computer Science.
Database and Expert Systems Applications - DEXA 2022 Workshops, 33rd International Conference, DEXA 2022, Vienna, Austria, August 22–24, 2022

Kotsis, G., Tjoa, A. M., Khalil, I., Moser, B., Taudes, A., Mashkoor, A., Sametinger, J., Martinez-Gil, J., Sobieczky, F., Fischer, L., Ramler, R., Khan, M., & Czech, G. (Eds.). (2022). Database and Expert Systems Applications - DEXA 2022 Workshops. Communications in Computer and Information Science.
Deep Residual Policy Reinforcement Learning as a Corrective Term in Process Control for Alarm Reduction: A Preliminary Report

Abbas, A., Chasparis, G., & Kelleher, J. (2022). Deep Residual Policy Reinforcement Learning as a Corrective Term in Process Control for Alarm Reduction: A Preliminary Report. 2022 European Conference on Safety and Reliability (ESREL)
Detection of the 3D Ground Plane from 2D Images for Distance Measurement to the Ground

Cakiroglu, O., Wieser, V., Zellinger, W., Souza Ribeiro, A., Kloihofer, W., & Kromp, F. (2022). Detection of the 3D Ground Plane from 2D Images for Distance Measurement to the Ground. Database and Expert Systems Applications - DEXA 2022 Workshops, 44–54.
Does it Transfer? Assessing model generalization in domain adaptation with data fusion (Abstract)

Nikzad-Langerodi, R., & Fonseca Diaz, V. (2022) Does it Transfer? Assessing model generalization in domain adaptation with data fusion (Abstract). 18th Chemometrics in Analytical Chemistry Conference (CAC 2022)
Enhancing TransE to Predict Process Behavior in Temporal Knowledge Graphs

Karetnikov, A., Ehrlinger, L., & Geist, V. (2022). Enhancing TransE to Predict Process Behavior in Temporal Knowledge Graphs. Database and Expert Systems Applications - DEXA 2022 Workshops, 369–374.
Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing

Geiß, M., Baresch, M., Chasparis, G., Schweiger, E., Teringl, N., & Zwick, M. (2022). Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing. Database and Expert Systems Applications - DEXA 2022 Workshops, 232–242.
From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry

Himmelbauer, J., Mayr, M., & Luftensteiner, S. (2022). From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry. Database and Expert Systems Applications - DEXA 2022 Workshops, 79–89.
Interpretable Input-Output Hidden Markov Model- Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines

Abbas, A. N., Chasparis, G. C., & Kelleher, J. D. (2022). Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines. Lecture Notes in Computer Science, 133–148.
Introduction of visual regression testing in collaboration between industry and academia

Wetzlmaier, T., Klammer, C., & Haslauer, H. (2022). Introduction of Visual Regression Testing in Collaboration Between Industry and Academia. Database and Expert Systems Applications - DEXA 2022 Workshops, 189–198.
Log File Anomaly detection based on Process Mining Graphs

Luftensteiner, S., & Praher, P. (2022). Log File Anomaly Detection Based on Process Mining Graphs. Database and Expert Systems Applications - DEXA 2022 Workshops, 383–391.
Matching Large Biomedical Ontologies Using Symbolic Regression -Extended Version-

Martinez-Gil, J., Yin, S., Kung, J., & Morvan, F. (2022). Matching Large Biomedical Ontologies Using Symbolic Regression Using Symbolic Regression. Journal of Data Intelligence, 3(3), 316–332.
On the Creation and Maintenance of a Documentation Generator in an Applied Research Context

Dorninger, B., Moser, M., Pichler, J., Rappl, M., & Sautter, J. (2022). On the Creation and Maintenance of a Documentation Generator in an Applied Research Context. Database and Expert Systems Applications - DEXA 2022 Workshops, 129–140.
Quantile time-frequency price connectedness between bond, green equity, sustainable investments and clean energy markets

Chatziantoniou, I., Abakah, E. J. A., Gabauer, D., & Tiwari, A. K. (2022). Quantile time–frequency price connectedness between green bond, green equity, sustainable investments and clean energy markets. Journal of Cleaner Production, 361, 132088.
Simulation Paths for Quantum Circuit Simulation with Decision Diagrams

Burgholzer, L., Ploier, A., & Wille, R. (2023). Simulation Paths for Quantum Circuit Simulation With Decision Diagrams What to Learn From Tensor Networks, and What Not. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(4), 1113–1122.
Synthetic Data in Automatic Number Plate Recognition

Brunner, D., & Schmid, F. (2022). Synthetic Data in Automatic Number Plate Recognition. Database and Expert Systems Applications - DEXA 2022 Workshops, 112–118.
Time-Varying Predictability of Financial Stress on Inequality in United Kingdom

Berisha, E., Gabauer, D., Gupta, R., & Nel, J. (2022). Time-varying predictability of financial stress on inequality in United Kingdom. Journal of Economic Studies.
Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data

Kumar, M., Moser, B., Fischer, L., & Freudenthaler, B. (2022). Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data. Database and Expert Systems Applications - DEXA 2022 Workshops, 55–66.
Twenty Years of Successful Translational Research - A Case Study of Three COMET Centers

Bühler, K., Travniceck, C., Nowak, V., Weippl, E., Fischer, L., Ramler, R., & Wille, R. (2022). Twenty Years of Successful Translational Research: A Case Study of Three COMET Centers. Database and Expert Systems Applications - DEXA 2022 Workshops, 155–166.
Unboundedness of Linear Regions of Deep ReLU Neural Networks.

Ponomarchuk, A., Koutschan, C., & Moser, B. (2022). Unboundedness of Linear Regions of Deep ReLU Neural Networks. Database and Expert Systems Applications - DEXA 2022 Workshops, 3–10.
Using Property Graphs to Segment Time-Series Data

Karetnikov, A., Rehberger, T., Lettner, C., Himmelbauer, J., Nikzad-Langerodi, R., Gsellmann, G., Nestelberger, S., & Schützeneder, S. (2022). Using Property Graphs to Segment Time-Series Data. Database and Expert Systems Applications - DEXA 2022 Workshops, 416–423.
Admission Certification for Digital Pilots in Public Traffic

Nessler, B., Fischer, L., Martinez-Gil, J., Holom, R.-M., Bosa, K., Kastner, K.-H., Tatschl-Unterberger, E., Watzinger, H., Weissenböck, J., Doms, T., & Schwald, C. (2022) Admission Certification for Digital Pilots in Public Traffic. IJCAI Workshop AI4AD
Artificial intelligence algorithms reach expert-level accuracy in automated grading of blastocyst morphology assessment based on static embryo images and Gardner criteria

Kromp, F., Balaban, B., Cottin, V., Saiz, I. C., Fancsovits, P., Fawzy, M., Findikli, N., Kovacic, B., Ljiljak, D., Rodero, I. M., Parmegiani, L., Shebl, O., Wagner, R., Xie, M., & Ebner, T. (2022). O-285 Artificial intelligence algorithms reach expert-level accuracy in automated grading of blastocyst morphology assessment based on static embryo images and Gardner criteria. Human Reproduction, 37(Supplement_1).
Characteristics of Reversible Circuits for Error Detection

Burgholzer, L., Wille, R., & Kueng, R. (2022). Characteristics of reversible circuits for error detection. Array, 14, 100165.
Dynamic connectedness between COVID-19 news sentiment, capital and commodity markets

Apergis, N., Chatziantoniou, I., & Gabauer, D. (2022). Dynamic connectedness between COVID-19 news sentiment, capital and commodity markets. Applied Economics, 55(24), 2740–2754.
Equivalence checking paradigms in quantum circuit design: A case study.

Peham, T., Burgholzer, L., & Wille, R. (2022). Equivalence checking paradigms in quantum circuit design. Proceedings of the 59th ACM/IEEE Design Automation Conference.
FDG-PET combined with Learning Vector Quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder

van Veen, R., Meles, S. K., Renken, R. J., Reesink, F. E., Oertel, W. H., Janzen, A., de Vries, G.-J., Leenders, K. L., & Biehl, M. (2022). FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder. Computer Methods and Programs in Biomedicine, 225, 107042.
Fuzzing and Delta Debugging And-Inverter Graph Verification Tools

Kaufmann, D., & Biere, A. (2022). Fuzzing and Delta Debugging And-Inverter Graph Verification Tools. Lecture Notes in Computer Science, 69–88.
Reconciliation of Mental Concepts with Graph Neural Networks

Wendlinger, L., Hübscher, G., Ekelhart, A., & Granitzer, M. (2022). Reconciliation of Mental Concepts with Graph Neural Networks. Database and Expert Systems Applications, 133–146.
Simulation of Pressure-Driven and Channel-Based Microfluidics on Different Abstract Levels: A Case Study

Takken, M., & Wille, R. (2022). Simulation of Pressure-Driven and Channel-Based Microfluidics on Different Abstract Levels: A Case Study. Sensors, 22(14), 5392.
Tail risk connectedness in the refined petroleum market: A first look at the impact of the COVID-19 pandemic

Chatziantoniou, I., Gabauer, D., & Perez de Gracia, F. (2022). Tail risk connectedness in the refined petroleum market: A first look at the impact of the COVID-19 pandemic. Energy Economics, 111, 106051.
Tessellation-Filtering ReLU Neural Networks

Moser, B. A., Lewandowski, M., Kargaran, S., Zellinger, W., Biggio, B., & Koutschan, C. (2022). Tessellation-Filtering ReLU Neural Networks. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
The Basis of Design Tools for Quantum Computing: Arrays, Decision Diagrams, Tensor Networks, ans ZX-Calculus.

Wille, R., Burgholzer, L., Hillmich, S., Grurl, T., Ploier, A., & Peham, T. (2022). The basis of design tools for quantum computing. Proceedings of the 59th ACM/IEEE Design Automation Conference.
The Evolution of Monetary Policy Focal Points

Stenfors, A., Chatziantoniou, I., & Gabauer, D. (2022). The Evolution of Monetary Policy Focal Points. Journal of Economic Issues, 56(2), 348–355.
Towards a SAT Encoding for Quantum Circuits: A Journey From Classical Circuits to Clifford Circuits and Beyond.

Berent, Lucas, Burgholzer, Lukas, & Wille, Robert. (2022). Towards a SAT Encoding for Quantum Circuits: A Journey From Classical Circuits to Clifford Circuits and Beyond. Schloss Dagstuhl - Leibniz-Zentrum Für Informatik.
Channel Routing for Microfluidic Devices: A Comprehensive and Accessible Design Tool.

Ebner, P., Fink, G., & Wille, R. (2023). Channel Routing for Microfluidic Devices: A Comprehensive and Accessible Design Tool. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(2), 533–543.
Handling Non-Unitaries in Quantum Circuit Equivalence Checking.

Burgholzer, L., & Wille, R. (2022). Handling non-unitaries in quantum circuit equivalence checking. Proceedings of the 59th ACM/IEEE Design Automation Conference.
Noise-aware Quantum Circuit Simulation With Decision Diagrams.

Grurl, T., Fus, J., & Wille, R. (2023). Noise-Aware Quantum Circuit Simulation With Decision Diagrams. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(3), 860–873.
A Comprehensive Survey on Electronic Design Automation and Graph Neural Networks: Theory and Applications. Transactions on Design Automation of Electronic Systems (TODAES).

Sánchez, D., Servadei, L., Kiprit, G. N., Wille, R., & Ecker, W. (2023). A Comprehensive Survey on Electronic Design Automation and Graph Neural Networks: Theory and Applications. ACM Transactions on Design Automation of Electronic Systems, 28(2), 1–27.
Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based Systems

Foidl, H., Felderer, M., & Ramler, R. (2022). Data smells. Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI.
Dataset: Dependency Networks of Open Source Libraries Available Through CocoaPods, Carthage and Swift PM

Rahkema, K., & Pfahl, D. (2022). Dataset. Proceedings of the 19th International Conference on Mining Software Repositories.
Evaluating PDDL for Programming Production Cells: a Case Study

Mayr-Dorn, C., Egyed, A., Winterer, M., Salomon, C., & Fürschuß, H. (2022). Evaluating PDDL for programming production cells. Proceedings of the 4th International Workshop on Robotics Software Engineering.
Evolving software system families in space and time with feature revisions

Michelon, G. K., Obermann, D., Assunção, W. K. G., Linsbauer, L., Grünbacher, P., Fischer, S., Lopez-Herrejon, R. E., & Egyed, A. (2022). Evolving software system families in space and time with feature revisions. Empirical Software Engineering, 27(5).
Graph-Based Managing and Mining of Processes and Data in the Domain of Intellectual Property

Hübscher, G., Geist, V., Auer, D., Ekelhart, A., Mayer, R., Nadschläger, S., & Küng, J. (2022). Graph-based managing and mining of processes and data in the domain of intellectual property. Information Systems, 106, 101844.
Model-Driven Engineering of Safety and Security Software Systems: A Systematic Mapping Study and Future Research Directions.

Mashkoor, A., Egyed, A., Wille, R., & Stock, S. (2022). Model‐driven engineering of safety and security software systems: A systematic mapping study and future research directions. Journal of Software: Evolution and Process. Portico.
SwiftDependencyChecker: Detecting Vulnerable Dependencies Declared Through CocoaPods, Carthage and Swift PM

Rahkema, K., & Pfahl, D. (2022). SwiftDependencyChecker. Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems.
Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing

Haindl, P., Buchgeher, G., Khan, M., & Moser, B. (2022). Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing. 2022 IEEE/ACM 44th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER).
2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound

Dacho, C., Gabauer, D., Brunner, D., & Fischer, L. (2022). 2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound. Medical Imaging 2022: Image Processing.
Design Automation for Continuous-Flow Lab-on-a-Chip Systems: A One-Pass Paradigm.

Huang, X., Pan, Y., Chen, Z., Guo, W., Wang, L., Li, Q., Wille, R., Ho, T.-Y., & Schlichtmann, U. (2023). Design Automation for Continuous-Flow Lab-on-a-Chip Systems: A One-Pass Paradigm. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(1), 327–331.
Dual - and primal-constrained principal component analysis

Andries, E., & Nikzad‐Langerodi, R. (2022). Dual‐constrained and primal‐constrained principal component analysis. Journal of Chemometrics, 36(5). Portico.
Neural Network Robustness Analysis Using Sensor Simulations for a Graphene-Based Semiconductor Gas Sensor

Schober, S. A., Bahri, Y., Carbonelli, C., & Wille, R. (2022). Neural Network Robustness Analysis Using Sensor Simulations for a Graphene-Based Semiconductor Gas Sensor. Chemosensors, 10(5), 152.
Special Issue on Machine Learning and Knowledge Graphs

Alam, M., Fensel, A., Martinez-Gil, J., Moser, B., Recupero, D. R., & Sack, H. (2022). Special Issue on Machine Learning and Knowledge Graphs. Future Generation Computer Systems, 129, 50–53.
A Replication Study on Predicting Metamorphic Relations at Unit Testing Level

Duque-Torres, A., Pfahl, D., Ramler, R., & Klammer, C. (2022). A Replication Study on Predicting Metamorphic Relations at Unit Testing Level. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
A Survey of Data Quality Measurement and Monitoring Tools

Ehrlinger, L., & Wöß, W. (2022). A Survey of Data Quality Measurement and Monitoring Tools. Frontiers in Big Data, 5.
Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes

Mayr, M., Luftensteiner, S., & Chasparis, G. C. (2022). Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes. Procedia Computer Science, 200, 1442–1450.
Artificial Intelligence and Software Engineering: Are We Ready?

Mashkoor, A., Menzies, T., Egyed, A., & Ramler, R. (2022). Artificial Intelligence and Software Engineering: Are We Ready? Computer, 55(3), 24–28.
Automatic Design of Microfluidic Gradient Generators.

Fink, G., Mitteramskogler, T., Hintermuller, M. A., Jakoby, B., & Wille, R. (2022). Automatic Design of Microfluidic Gradient Generators. IEEE Access, 10, 28155–28164.
Comprehensive and Accessible Channel Routing for Microfluidic Devices

Fink, G., Ebner, P., & Wille, R. (2022). Comprehensive and Accessible Channel Routing for Microfluidic Devices. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE).
Exploiting Arbitrary Paths for the Simulation of Quantum Circuits with Decision Diagrams

Burgholzer, L., Ploier, A., & Wille, R. (2022). Exploiting Arbitrary Paths for the Simulation of Quantum Circuits with Decision Diagrams. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE).
Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes

Chasparis, G. C., Luftensteiner, S., & Mayr, M. (2022). Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes. Procedia Computer Science, 200, 1402–1411.
iTest: Using coverage measurements to improve test efficiency

Fischer, S., Rigoni, D., & Obrenovic, N. (2022). iTest: Using coverage measurements to improve test efficiency. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Migrating Cyber-Physical Systems to OPC UA

Buchgeher, G., Dorninger, B., Klammer, C., Walchshofer, A., & Kern, A. (2022). Migrating Cyber-Physical Systems to OPC UA. Procedia Computer Science, 200, 276–283.
Root Cause Analysis in the Industrial Domain using Knowledge Graphs: A Case Study on Power Transformers

Martinez-Gil, J., Buchgeher, G., Gabauer, D., Freudenthaler, B., Filipiak, D., & Fensel, A. (2022). Root Cause Analysis in the Industrial Domain using Knowledge Graphs: A Case Study on Power Transformers. Procedia Computer Science, 200, 944–953.
Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing

Hoch, T., Heinzl, B., Czech, G., Khan, M., Waibel, P., Bachhofner, S., Kiesling, E., & Moser, B. A. (2022). Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing. International Conference on Interoperability for Enterprise Systems and Applications (I-ESA)
Towards Attribute Grammar Mining by Symbolic Execution

Moser, M., Pichler, J., & Pointner, A. (2022). Towards Attribute Grammar Mining by Symbolic Execution. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Using Source Code Metrics for Predicting Metamorphic Relations at Method Level

Duque-Torres, A., Pfahl, D., Klammer, C., & Fischer, S. (2022). Using Source Code Metrics for Predicting Metamorphic Relations at Method Level. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
What do we know about readability of test code? - A Systematic Mapping Study

Winkler, D., Urbanke, P., & Ramler, R. (2022). What Do We Know About Readability of Test Code? - A Systematic Mapping Study. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Clinical data classification with noisy intermediate scale quantum computers.

Moradi, S., Brandner, C., Spielvogel, C., Krajnc, D., Hillmich, S., Wille, R., Drexler, W., & Papp, L. (2022). Clinical data classification with noisy intermediate scale quantum computers. Scientific Reports, 12(1).
Comparing Automated Reuse of Scripted Tests and Model-Based Tests for Configurable Software

Fischer, S., Ramler, R., & Linsbauer, L. (2021). Comparing Automated Reuse of Scripted Tests and Model-Based Tests for Configurable Software. 2021 28th Asia-Pacific Software Engineering Conference (APSEC).
Interpretable ontology meta-matching in the biomedical domain using Mamdani fuzzy inference

Martinez-Gil, J., & Chaves-Gonzalez, J. M. (2022). Interpretable ontology meta-matching in the biomedical domain using Mamdani fuzzy inference. Expert Systems with Applications, 188, 116025.
The Role of Secondary Assists in Basketball – An analysis of its characteristics and effect on scoring

Supola, B., Hoch, T., & Baca, A. (2022). The role of secondary assists in basketball – an analysis of its characteristics and effect on scoring. International Journal of Performance Analysis in Sport, 22(2), 261–276.
Tools for Quantum Computing Based on Decision Diagrams

Wille, R., Hillmich, S., & Burgholzer, L. (2022). Tools for Quantum Computing Based on Decision Diagrams. ACM Transactions on Quantum Computing, 3(3), 1–17.
A Generic Sample Preparation Approach for Different Microfluidic Labs-on-Chips

Poddar, S., Fink, G., Haselmayr, W., & Wille, R. (2022). A Generic Sample Preparation Approach for Different Microfluidic Labs-on-Chips. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(11), 4612–4625.
Deep Reinforcement Learning for Optimization at Early Design Stages.

Servadei, L., Lee, J. H., Arjona Medina, J. A., Werner, M., Hochreiter, S., Ecker, W., & Wille, R. (2023). Deep Reinforcement Learning for Optimization at Early Design Stages. IEEE Design & Test, 40(1), 43–51.
Design Automation for Field-coupled Nanotechnologies.

Walter, M., Wille, R., Sill Torres, F., & Drechsler, R. (2022). Design Automation for Field-coupled Nanotechnologies.
Improving the Robustness of Microfluidic Networks

Fink, G., Ebner, P., Poddar, S., & Wille, R. (2022). Improving the Robustness of Microfluidic Networks. 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).
Limiting the Search Space in Optimal Quantum Circuit Mapping

Burgholzer, L., Schneider, S., & Wille, R. (2022). Limiting the Search Space in Optimal Quantum Circuit Mapping. 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).
Deep Learning and Explainable Artificial Intelligence

Brucker, M. (2022). Deep Learning and Explainable Artificial Intelligence. Bachelor Thesis, University of Applied Sciences, Hagenberg
2021
An automated evaluation of broker compatibility for the Message Queuing Telemetry Transport protocol

Sochor, H., Ferrarotti, F., & Ramler, R. (2021). An automated evaluation of broker compatibility for the Message Queuing Telemetry Transport protocol. Journal of Software: Evolution and Process. Portico.
Discrimination properties of binarized relu activations

Lewandowski, M., Zellinger, W., Eghbal-zadeh, H., Shepeleva, N., & Moser, B. A. (2023). On the Discriminability of Samples Using Binarized ReLU Activations. ICDSMLA 2021, 65–71.
Matching Large Biomedical Ontologies Using Symbolic Regression

Martinez-Gil, J., Yin, S., Küng, J., & Morvan, F. (2021). Matching Large Biomedical Ontologies Using Symbolic Regression. The 23rd International Conference on Information Integration and Web Intelligence.
On a regularization of unsupervised domain adaptation in RKHS

Gizewski, E. R., Mayer, L., Moser, B. A., Nguyen, D. H., Pereverzyev, S., Pereverzyev, S. V., Shepeleva, N., & Zellinger, W. (2022). On a regularization of unsupervised domain adaptation in RKHS. Applied and Computational Harmonic Analysis, 57, 201–227.
Semantic similarity controllers: On the trade-off between accuracy and interpretability

Martinez-Gil, J., & Chaves-Gonzalez, J. M. (2021). Semantic similarity controllers: On the trade-off between accuracy and interpretability. Knowledge-Based Systems, 234, 107609.
Test Benchmarks: Which One Now and in Future?

Artho, C., Benali, A., & Ramler, R. (2021). Test Benchmarks: Which One Now and in Future? 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS).
The balancing principle for parameter choice in distance-regularized domain adaptation

Zellinger, W., Shepeleva, N., Dinu, M.-C., Eghbal-zadeh, H., Nguyen, H.D., Nessler, B., Pereverzyev, S.V., & Moser, B.A. (2021). The balancing principle for parameter choice in distance-regularized domain adaptation. Advances in neural Information Processing Systems 34 (NeurIPS 2021).
BigIntegr: One-Pass Architectural Synthesis for Continuous-Flow Microfluidic Lab-on-a-Chip Systems

Huang, X., Pan, Y., Chen, Z., Guo, W., Wille, R., Ho, T.-Y., & Schlichtmann, U. (2021). BigIntegr: One-Pass Architectural Synthesis for Continuous-Flow Microfluidic Lab-on-a-Chip Systems. 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).
Evolution von Wissen, Aufgaben und Prozessen in einem 2D-Knowledge&Process-Graph

Hübscher, G., Auer, D., Geist, V., & Küng, J. (2021) Evolution von Wissen, Aufgaben und Prozessen in einem 2D-Knowledge&Process-Graph. ERP Future 2020 - Die Fachveranstaltung für Enterprise Systems in Österreich, 10. November 2020 in Hagenberg, Oberösterreich
Is There an Association Between Bone Microarchitecture and Fracture in Patients who were Treated for High-grade Osteosarcoma? A Controlled Study at Long-term Follow-up Using High-resolution Peripheral Quantitative CT

Holzer, G., Hobusch, G., Hansen, S., Fischer, L., & Patsch, J. M. (2021). Is There an Association Between Bone Microarchitecture and Fracture in Patients who were Treated for High-grade Osteosarcoma? A Controlled Study at Long-term Follow-up Using High-resolution Peripheral Quantitative CT. Clinical Orthopaedics & Related Research, 479(11), 2493–2501.
KI in der Praxis: Key Challenges im System-Engineering

Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobieczky, F., Zellinger, W., & Moser, B. (2021) KI in der Praxis: Key Challenges im System-Engineering. ERP Future 2020 - Die Fachveranstaltung für Enterprise Systems in Österreich, 10. November 2020 in Hagenberg, Oberösterreich
Value-Oriented Quality Metrics in Software Development: Categorization and Practical Relevance from a Software Engineering Perspective

Haindl, P., & Plösch, R. (2021). Value‐oriented quality metrics in software development: Practical relevance from a software engineering perspective. IET Software, 16(2), 167–184. Portico.
A Chemometrician's guide to Transfer Learning

Nikzad‐Langerodi, R., & Andries, E. (2021). A chemometrician’s guide to transfer learning. Journal of Chemometrics, 35(11). Portico.
A logic for reflective ASMs

Schewe, K.-D., Ferrarotti, F., & González, S. (2021). A logic for reflective ASMs. Science of Computer Programming, 210, 102691.
Are standard sample measurements still needed to transfer multivariate calibration models between near-infrared spectrometers? The answer is not always

Mishra, P., Nikzad-Langerodi, R., Marini, F., Roger, J. M., Biancolillo, A., Rutledge, D. N., & Lohumi, S. (2021). Are standard sample measurements still needed to transfer multivariate calibration models between near-infrared spectrometers? The answer is not always. TrAC Trends in Analytical Chemistry, 143, 116331.
Crude Oil Futures Contracts and Commodity Markets: New Evidence from a TVP-VAR Extended Joint Connectedness Approach

Balcilar, M., Gabauer, D., & Umar, Z. (2021). Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach. Resources Policy, 73, 102219.
Data-Driven Support of Coaches in Professional Cycling Using Race Performance Prediction

Karetnikov, A., Nuijten, W., & Hassani, M. (2021). Data-driven Support of Coaches in Professional Cycling using Race Performance Prediction. Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support. doi:10.5220/0010656300003059
Decision Diagrams for Quantum Measurements with Shallow Circuits

Hillmich, S., Hadfield, C., Raymond, R., Mezzacapo, A., & Wille, R. (2021). Decision Diagrams for Quantum Measurements with Shallow Circuits. 2021 IEEE International Conference on Quantum Computing and Engineering (QCE).
Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools

Mainali, K., Ehrlinger, L., Himmelbauer, J., & Matskin, M. (2021) Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools. DATA ANALYTICS 2021 : The Tenth International Conference on Data Analytics, International Academy, Research, and Industry Association, pp. 61--69, 10-2021, ISBN: 978-1-61208-891-4.
eknows: Platform for Multi-Language Reverse Engineering and Documentation Generation

Moser, M., & Pichler, J. (2021). eknows: Platform for Multi-Language Reverse Engineering and Documentation Generation. 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME).
Feature and Model Selection for Day-ahead Electricity-Load Forecasting in Residential Buildings

Kychkin, A. V., & Chasparis, G. C. (2021). Feature and model selection for day-ahead electricity-load forecasting in residential buildings. Energy and Buildings, 249, 111200.
Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams

Burgholzer, L., Bauer, H., & Wille, R. (2021). Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams. 2021 IEEE International Conference on Quantum Computing and Engineering (QCE).
IGA using Offset-based Overlapping Domain Parameterizations

Kargaran, S., Jüttler, B., & Takacs, T. (2021). IGA Using Offset-based Overlapping Domain Parameterizations. Computer-Aided Design, 139, 103087.
Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications

Heinzl, B., Martinez-Gil, J., Himmelbauer, J., Rosbory, M., Hinterdorfer, C., & Hinterreiter, C. (2021). Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications. 2021 IEEE 19th International Conference on Industrial Informatics (INDIN).
Time-varying spillovers between housing sentiment and housing market in the United States

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A brief note on application of domain-invariant PLS for adapting near-infrared spectroscopy calibrations between different physical forms of samples

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Adopting Microservices for Industrial Control Systems: A Five Step Migration Path

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Automated Test Case Generation using Interface Descriptions of the Industrial Communication Protocol OPC UA

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Behavioural theory of reflective algorithms I: Reflective sequential algorithms

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Data Catalogs: A Systematic Literature Review and Steps to Implementation

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Deep Learning Rule for Efficient ChangepointDetection in the Presence of non-linear Trends

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FEDS - Filtered Edit Distance Surrogate

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Filter-based Feature Selection Methods for Industrial Sensor Data: A Review

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Graph-based methods in multivariate calibration and calibration transfer (Abstract)

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Interpretable entity meta-alignment in knowledge graphs using penalized regression: a case study in the biomedical domain

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Knowledge Graph Embeddings for News Article Tag Recommendation

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Least resolved trees for two-colored best match graphs

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Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder

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Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization

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Methods for Automatic Machine-Learning Workflow Analysis

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Practical Assessment of Payload- Header Switching in Microfluidic Networks

Hamidović, M., Fink, G., Wille, R., Springer, A., & Haselmayr, W. (2021). Practical Assessment of Payload- Header Switching in Microfluidic Networks. Proceedings of the Eight Annual ACM International Conference on Nanoscale Computing and Communication.
Quantum k-community detection: Algorithm proposals and cross-architectural evaluation

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Representation and Presentation of Knowledge and Processes - An Integrated Approach for a Dynamic Communication-intensive Environment

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Robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis

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Task-specific Automation in Deep Learning Processes

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Towards a Stochastic Drift Simulation Model for Graphene-Based Gas Sensors

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Towards calibration transfer with arbitrary standards (Abstract)

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Accurate and Robust Malware Detection: Running XGBoost on Run-Time Data from Performance Counters

Elnaggar, R., Servadei, L., Mathur, S., Wille, R., Ecker, W., & Chakrabarty, K. (2022). Accurate and Robust Malware Detection: Running XGBoost on Runtime Data From Performance Counters. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(7), 2066–2079.
Descriptive Complexity of Deterministic Polylogarithmic Time and Space

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Heuristic Algorithms for Best Match Graph Editing

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Integrating Usage Monitoring for Continuous Evaluation and Testing in the UI of an Industry Application

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Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging

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Missing Data Pattern: From Theory to an Application in the Steel Industry

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On the Dynamics of International Real-Estate-Investment Trust-Propagation Mechanisms: Evidence from Time-Varying Return and Volatility Connectedness Measuress

Lesame, K., Bouri, E., Gabauer, D., & Gupta, R. (2021). On the Dynamics of International Real-Estate-Investment Trust-Propagation Mechanisms: Evidence from Time-Varying Return and Volatility Connectedness Measures. Entropy, 23(8), 1048.
Software-Qualitätssicherung im Maschinen- und Anlagenbau: automatisierte Bewertung der technischen Qualität von SPS Code

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Advances and Challenges for Model and Data Engineering (editorial)

Attiogbé, C., Ferrarotti, F., & Maabout, S. (2021). Advances and Challenges for Model and Data Engineering. JUCS - Journal of Universal Computer Science, 27(7), 646–649.
As Accurate as Needed, as Efficient as Possible: Approximations in DD-based Quantum Circuit Simulation

Hillmich, S., Kueng, R., Markov, I. L., & Wille, R. (2021). As Accurate as Needed, as Efficient as Possible: Approximations in DD-based Quantum Circuit Simulation. 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE).
Auswirkungen von DRAM-Timings auf die Effektivität von Rowhammer-Attacken

Fischer, B. (2021). Auswirkungen von DRAM-Timings auf die Effektivität von Rowhammer-Attacken. Bachelor Thesis; Fachhochschule Hagenberg. July 2021.
DQ-MeeRKat: Automating Data Quality Monitoring with a Reference-Data-Profile-Annotated Knowledge Graph

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Evaluation of Deep Learning architectures for complex immunofluorescence nuclear image segmentation

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Exact Physical Design of Quantum Circuits for Ion-Trap-based Quantum Architectures

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Generic Sample Preparation for Different Microfluidic Platforms

Poddar, S., Fink, G., Haselmayr, W., & Wille, R. (2021). Generic Sample Preparation for Different Microfluidic Platforms. 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE).
On the truncated Hausdorff moment problem under Sobolev regularity conditions

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Stochastic Quantum Circuit Simulation Using Decision Diagrams

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Towards Automatic Design and Verification for Level 3 of the European Train Control System

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Visualizing Decision Diagrams for Quantum Computing

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ASM Specification and Refinement of a Quantum Algorithm

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AVUBDI: A Versatile Usable Big Data Infrastructure and its Monitoring Approaches for Process Industry

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Considerations for using Block-Based Languages for Industrial Robot Programming - a Case Study

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Dynamic Connectedness And Spillovers Across Sectors: Evidence From The Indian Stock Market

Chatziantoniou, I., Gabauer, D., & Marfatia, H. A. (2021). Dynamic connectedness and spillovers across sectors: Evidence from the Indian stock market. Scottish Journal of Political Economy, 69(3), 283–300. Portico.
Dynamic Measures of Asymmetric & Pairwise Spillovers within an Optimal Currency Area: Evidence from the ERM I System

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Efficient Construction of Functional Representations for Quantum Algorithms

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Extended Authorization Policy for Graph-Structured Data

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GraphifyEvolution - A Modular Approach to Analysing Source Code Histories

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MAD: Memory Allocation meets Software Diversity

Wiesinger, M., Dorfmeister, D., & Brunthaler S. (2021) MAD: Memory Allocation meets Software Diversity. First Workshop on DRAM Security (DRAMSec), Co-located with ISCA 2021
QCL-based mid-infrared hyperspectral imaging of multilayer polymer oxygen barrier-films

Zimmerleiter, R., Nikzad-Langerodi, R., Ruckebusch, C., Godejohann, M., Kilgus, J., Duswald, K., & Brandstetter, M. (2021). QCL-based mid-infrared hyperspectral imaging of multilayer polymer oxygen barrier-films. Polymer Testing, 98, 107190.
Volatility connectedness of major cryptocurrencies: The role of investor happiness

Bouri, E., Gabauer, D., Gupta, R., & Tiwari, A. K. (2021). Volatility connectedness of major cryptocurrencies: The role of investor happiness. Journal of Behavioral and Experimental Finance, 30, 100463.
A Case Study on the Evolution of Configuration Options of a Highly-Configurable Software System

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A Framework for Improving Offline Learning Models with Online Data

Luftensteiner, S., & Zwick, M. (2021) A Framework for Improving Offline Learning Models with Online Data. The Thirteen International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2021)
Automated Continuous Data Quality Measurement

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Best Match Graphs with Binary Trees

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Interest Rate Swaps and the Transmission Mechanism of Monetary Policy: A Quantile Connectedness Approach

Chatziantoniou, I., Gabauer, D., & Stenfors, A. (2021). Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach. Economics Letters, 204, 109891.
Lessons Learnt in the Implementation of Quantum Circuit Simulation Using Decision Diagrams

Grurl, T., Fub, J., & Wille, R. (2021). Lessons Learnt in the Implementation of Quantum Circuit Simulation Using Decision Diagrams. 2021 IEEE 51st International Symposium on Multiple-Valued Logic (ISMVL).
Modeling extra-deep EM logs using a deep neural network

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Simulating Defects in Environmental Sensor Networks Using Stochastic Sensor Models

Schober, S. A., Carbonelli, C., & Wille, R. (2021). Simulating Defects in Environmental Sensor Networks Using Stochastic Sensor Models. The 8th International Symposium on Sensor Science.
Visualization of Multi-Level Data Quality Dimensions with QuaIIe

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A Swept Source Optical Coherence Tomography Angiography Study: Imaging artifacts and comparison of non-perfusion areas with fluorescein angiography in diabetic macular edema

Podkowinski, D., Beka, S., Mursch-Edlmayr, A.-S., Strauss, R. W., Fischer, L., & Bolz, M. (2021). A Swept source optical coherence tomography angiography study: Imaging artifacts and comparison of non-perfusion areas with fluorescein angiography in diabetic macular edema. PLOS ONE, 16(4), e0249918.
Adaptive Sparse Cyclic Coordinate Descent for Sparse Frequency Estimation

Garcia Guzman, Y. E., & Lunglmayr, M. (2021). Adaptive Sparse Cyclic Coordinate Descent for Sparse Frequency Estimation. Signals, 2(2), 189–200.
Efficient One-Pass Synthesis for Digital Microfluidic Biochips

Mohammadzadeh, N., Wille, R., & Keszocze, O. (2021). Efficient One-pass Synthesis for Digital Microfluidic Biochips. ACM Transactions on Design Automation of Electronic Systems, 26(4), 1–21.
Financial market connectedness: The role of investors' happiness

Bouri, E., Demirer, R., Gabauer, D., & Gupta, R. (2022). Financial market connectedness: The role of investors’ happiness. Finance Research Letters, 44, 102075.
Gaussian fuzzy theoretic analysis for variational learning of nested compositions

Kumar, M., Singh, S., & Freudenthaler, B. (2021). Gaussian fuzzy theoretic analysis for variational learning of nested compositions. International Journal of Approximate Reasoning, 131, 1–29.
Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review

Buchgeher, G., Gabauer, D., Martinez-Gil, J., & Ehrlinger, L. (2021) Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review. IEEE Access, vol. 9, pp. 55537-55554.
Monetary policy and speculative spillovers in financial markets

Demirer, R., Gabauer, D., Gupta, R., & Ji, Q. (2021). Monetary policy and speculative spillovers in financial markets. Research in International Business and Finance, 56, 101373.
SMT-Based Placement for System-on-Chip Design

Pointner, S., Wenzek, S., & Wille, R. (2021). SMT-Based Placement for System-on-Chip Design. 2021 IEEE International Symposium on Circuits and Systems (ISCAS).
A closer look into the global determinants of oil price volatility

Chatziantoniou, I., Filippidis, M., Filis, G., & Gabauer, D. (2021). A closer look into the global determinants of oil price volatility. Energy Economics, 95, 105092.
Arc-Completion of 2-Colored Best Match Graphs to Binary-Explainable

Schaller, D., Geiß, M., Hellmuth, M., & Stadler, P. F. (2021). Arc-Completion of 2-Colored Best Match Graphs to Binary-Explainable Best Match Graphs. Algorithms, 14(4), 110.
High Cortico-Trabecular Transitional Zone Porosity and Reduced Trabecular Density in Men and Women with Stress Fractures

Zendeli, A., Bui, M., Fischer, L., Ghasem-Zadeh, A., Schima, W., & Seeman, E. (2021). High Cortico-Trabecular Transitional Zone Porosity and Reduced Trabecular Density in Men and Women with Stress Fractures. Journal of Clinical Medicine, 10(5), 1123.
Safe and secure cyber-physical systems

Biró, M., Mashkoor, A., & Sametinger, J. (2021). Safe and secure cyber‐physical systems. Journal of Software: Evolution and Process, 33(9). Portico.
A Hybrid Feature Location Technique for Re-Engineering Single Systems into Software Product Lines

Michelon, G. K., Linsbauer, L., Assunção, W. K. G., Fischer, S., & Egyed, A. (2021). A Hybrid Feature Location Technique for Re-engineeringSingle Systems into Software Product Lines. Proceedings of the 15th International Working Conference on Variability Modelling of Software-Intensive Systems.
Automated Reuse of Test Cases for Highly Configurable Software Systems

Fischer, S., Michelon, G. K., Ramler, R. R., Linsbauer, L. & Egyed, A., (2021). Automated Reuse of Test Cases for Highly Configurable Software Systems. In: Koziolek, A., Schaefer, I. & Seidl, C. (Hrsg.), Software Engineering 2021. Bonn: Gesellschaft für Informatik e.V.. (S. 39-40).
Beyond Federated Learning: On Confidentiality-Critical Machine Learning Applications in Industry

Zellinger, W., Wieser, V., Kumar, M., Brunner, D., Shepeleva, N., Gálvez, R., Langer, J., Fischer, L., & Moser, B. (2021). Beyond federated learning: On confidentiality-critical machine learning applications in industry. Procedia Computer Science, 180, 734–743.
Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs

Schaller, D., Geiß, M., Stadler, P. F., & Hellmuth, M. (2021). Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs. Journal of Mathematical Biology, 82(3).
DaQL 2.0: Measure Data Quality based on Entity Models

Lettner, C., Stumptner, R., Fragner, W., Rauchenzauner, F., & Ehrlinger, L. (2021). DaQL 2.0: Measure Data Quality based on Entity Models. Procedia Computer Science, 180, 772–777.
Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression

Mahmoud, S., Sobieczky, F., Martinez-Gil, J., Praher, P., & Freudenthaler, B. (2021). Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression. Procedia Computer Science, 180, 466–475.
EMU risk-synchronisation and financial fragility through the prism of dynamic connectedness

Chatziantoniou, I., & Gabauer, D. (2021). EMU risk-synchronisation and financial fragility through the prism of dynamic connectedness. The Quarterly Review of Economics and Finance, 79, 1–14.
Explainability of AI-predictions based on psychological profiling

Neugebauer, S., Rippitsch, L., Sobieczky, F., & Geiβ, M. (2021). Explainability of AI-predictions based on psychological profiling. Procedia Computer Science, 180, 1003–1012.
Explaining a random forest with the difference of two Arima models in an industrial fault detection scenario

Glock, A.-C. (2021). Explaining a Random Forest With the Difference of Two ARIMA Models in an Industrial Fault Detection Scenario. Procedia Computer Science, 180, 476–481.
Performance Aspects of Correctness-oriented Synthesis Flows

Bornebusch, F., Lüth, C., Wille, R., & Drechsler, R. (2021). Performance Aspects of Correctness-oriented Synthesis Flows. Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development.
Protecting Intellectual Property Rights of Industrial Software

Ziebermayr, T. (2021). Protecting Intellectual Property Rights of Industrial Software. Procedia Computer Science, 180, 862–866.
QCEC: A JKQ Tool for Quantum Circuit Equivalence Checking

Burgholzer, L., & Wille, R. (2021). QCEC: A JKQ tool for quantum circuit equivalence checking. Software Impacts, 7, 100051.
Testing of Highly Configurable Cyber-Physical Systems – A Multiple Case Study

Fischer, S., Ramler, R., Klammer, C., & Rabiser, R. (2021). Testing of Highly Configurable Cyber-Physical Systems – A Multiple Case Study. Proceedings of the 15th International Working Conference on Variability Modelling of Software-Intensive Systems.
Time-Varying Predictability of Labor Productivity on Inequality in United Kingdom

Gabauer, D., Gupta, R., Nel, J., & Yamaka, W. (2021). Time-Varying Predictability of Labor Productivity on Inequality in United Kingdom. Social Indicators Research, 155(3), 771–788.
Accurate and Efficient Simulation of Microfluidic Networks

Fink, G., Ebner, P., Hamidović, M., Haselmayr, W., & Wille, R. (2021). Accurate and Efficient Simulation of Microfluidic Networks. Proceedings of the 26th Asia and South Pacific Design Automation Conference.
Exploiting Quantum Teleportation in Quantum Circuit Mapping

Hillmich, S., Zulehner, A., & Wille, R. (2021). Exploiting Quantum Teleportation in Quantum Circuit Mapping. Proceedings of the 26th Asia and South Pacific Design Automation Conference.
One-Pass Synthesis for Field-coupled Nanocomputing Technologies

Walter, M., Haaswijk, W., Wille, R., Torres, F. S., & Drechsler, R. (2021). One-pass Synthesis for Field-coupled Nanocomputing Technologies. Proceedings of the 26th Asia and South Pacific Design Automation Conference.
Quality Assurance for AI-based Systems: Overview and Challenges

Felderer, M., & Ramler, R. (2021). Quality Assurance for AI-Based Systems: Overview and Challenges (Introduction to Interactive Session). Lecture Notes in Business Information Processing, 33–42.
Random Stimuli Generation for the Verification of Quantum Circuits

Burgholzer, L., Kueng, R., & Wille, R. (2021). Random Stimuli Generation for the Verification of Quantum Circuits. Proceedings of the 26th Asia and South Pacific Design Automation Conference.
Testing autogenerated OPC UA NodeSet models for product variants in industry

Klammer, C., Wetzlmaier, T., Pfeiffer, M., Steiner, T., & Konnerth, M. (2021). Testing Autogenerated OPC UA NodeSet Models for Product Variants in Industry. Lecture Notes in Business Information Processing, 15–29.
A Novel Neurofuzzy Approach for Semantic Similarity Measurement

Martinez-Gil, J., Mokadem, R., Küng, J., & Hameurlain, A. (2021). A Novel Neurofuzzy Approach for Semantic Similarity Measurement. Lecture Notes in Computer Science, 192–203.
Design of borehole resistivity measurement acquisition systems using deep learning

Shahriari, M., Hazra, A., & Pardo, D. (2022). A deep learning approach to design a borehole instrument for geosteering. GEOPHYSICS, 87(2), D83–D90.
Green Bond, Renewable Energy Stocks and Carbon Price: Dynamic Connectedness, Hedging and Investment Strategies during COVID-19 pandemic

Tiwari, A. K., Aikins Abakah, E. J., Gabauer, D., & Dwumfour, R. A. (2021). Green Bond, Renewable Energy Stocks and Carbon Price: Dynamic Connectedness, Hedging and Investment Strategies during COVID-19 pandemic. SSRN Electronic Journal. doi:10.2139/ssrn.3897284
Hierarchical and Modularly-Minimal Vertex Colorings

Valdivia, D. I., Rosales, M. H., Geiß, M., Stadler, P. F., & Hellmuth, M. (2022). Hierarchical and modularly-minimal vertex colorings. The Art of Discrete and Applied Mathematics, 6(2), #P2.01.
Return connectedness across asset classes around the COVID-19 outbreak

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Steering Drivers of Change: Maximising Benefits of Trustworthy IoT

Veledar, O., Armengaud, E., Botler, L. H., Damjanovic-Behrendt, V., Derler, C., Jaksic, S., Krammer, L., Lettner, C., Macher, G., Marksteiner, S., Martin, A., Matschnig, M., Priller, P., Ramacher, S., Römer, K., Schmittner, C., Tiefnig, C., Vallant, H., Weiskirchner, H., & Drobics, M. (2021). Steering Drivers of Change: Maximising Benefits of Trustworthy IoT. Systems, Software and Services Process Improvement, 663–674.
Time-varying influence of household debt on inequality in the United Kingdom

Berisha, E., Gabauer, D., Gupta, R., & Lau, C. K. M. (2020). Time-varying influence of household debt on inequality in United Kingdom. Empirical Economics, 61(4), 1917–1933.
Towards Reusable Ontology Alignment for Manufacturing Maintenance

Kainzner, M., Klösch, C., Filipiak, D., Chhetri, T. R., Fensel, A., & Martinez-Gil, J. (2021) Towards Reusable Ontology Alignment for Manufacturing Maintenance. SEMANTiCS.
Traffic detection for the intersection case in Connecting Austria

Hoch, T., & Kopetzky, T. (2022). Energy-Efficient Internet of Things Solution for Traffic Monitoring. Lecture Notes in Intelligent Transportation and Infrastructure, 129–141.
Uncertainty and forecastability of regional output growth in the United Kingdom: Evidence from Machine Learning

Balcilar, M., Gabauer, D., Gupta, R., & Pierdzioch, C. (2022). Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning. Journal of Forecasting, 41(6), 1049–1064. Portico.
Uncertainty Quantification on the Inversion of Geosteering Measurements using Deep Learning

Rivera, J. A., Rivera, J. A., Pardo, D., Omella, J., & Torres-Verdín, C. (2021). Uncertainty Quantification on the Inversion of Geosteering Measurements using Deep Learning. 3rd EAGE/SPE Geosteering Workshop.
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A novel method based on symbolic regression for interpretable semantic similarity measurement

Martinez-Gil, J., & Chaves-Gonzalez, J. M. (2020). A novel method based on symbolic regression for interpretable semantic similarity measurement. Expert Systems with Applications, 160, 113663.
AI System Engineering - Key Challenges and Lessons Learned

Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobiezky, F., Zellinger, W., Brunner, D., Kumar, M., & Moser, B. (2020). AI System Engineering—Key Challenges and Lessons Learned. Machine Learning and Knowledge Extraction, 3(1), 56–83.
Domain adaptation for regression under Beer–Lambert’s law

Nikzad-Langerodi, R., Zellinger, W., Saminger-Platz, S., & Moser, B. A. (2020). Domain adaptation for regression under Beer–Lambert’s law. Knowledge-Based Systems, 210, 106447.
Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit

Mishra, P., & Nikzad-Langerodi, R. (2020). Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit. Infrared Physics & Technology, 111, 103547.
Using Rule Mining for Automatic Test Oracle Generation

Duque-Torres, A., Pfahl, D., Shalygina, A., & Ramler, R. (2020). Using Rule Mining for Automatic Test Oracle Generation. Proceedings of the 8th International Workshop on Quantitative Approaches to Software Quality co-located with 27th Asia-Pacific Software Engineering Conference (APSEC 2020), pages 21-28, ceur-ws.org, December 2020.
Automatic compiler optimization on embedded software through k-means clustering

Werner, M., Servadei, L., Wille, R., & Ecker, W. (2020). Automatic compiler optimization on embedded software through k-means clustering. Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD.
Considering decoherence errors in the simulation of quantum circuits using decision diagrams

Grurl, T., Fuß, J., & Wille, R. (2020). Considering decoherence errors in the simulation of quantum circuits using decision diagrams. Proceedings of the 39th International Conference on Computer-Aided Design.
Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning

Servadei, L., Zheng, J., Arjona-Medina, J., Werner, M., Esen, V., Hochreiter, S., Ecker, W., & Wille, R. (2020). Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning. Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD.
Current perspectives on the software engineering process (Editorial)

Biró, M., Colomo‐Palacios, R., & Messnarz, R. (2020). Current perspectives on the software engineering process. Journal of Software: Evolution and Process, 32(11). Portico.
Error control and loss functions for the deep learning inversion of borehole resistivity measurements

Shahriari, M., Pardo, D., Rivera, J. A., Torres‐Verdín, C., Picon, A., Del Ser, J., Ossandón, S., & Calo, V. M. (2021). Error control and loss functions for the deep learning inversion of borehole resistivity measurements. International Journal for Numerical Methods in Engineering, 122(6), 1629–1657. Portico.
Graph‐based calibration transfer

Nikzad‐Langerodi, R., & Sobieczky, F. (2020). Graph‐based calibration transfer. Journal of Chemometrics, 35(4). Portico.
Integration of knowledge and task management in an evolving, communication-intensive

Hübscher, G., Geist, V., Auer, D., Hübscher, N., & Küng, J. (2020). Integration of Knowledge and Task Management in an Evolving, Communication-intensive Environment. Proceedings of the 22nd International Conference on Information Integration and Web-Based Applications & Services.
JKQ: JKU tools for quantum computing

Wille, R., Hillmich, S., & Burgholzer, L. (2020). JKQ. Proceedings of the 39th International Conference on Computer-Aided Design.
Leveraging machine learning for software redocumentation – A eomprehensive comparison of methods in practice

Geist, V., Moser, M., Pichler, J., Santos, R., & Wieser, V. (2020). Leveraging machine learning for software redocumentation—A comprehensive comparison of methods in practice. Software: Practice and Experience, 51(4), 798–823. Portico.
On generalization in moment-based domain adaptation

Zellinger, W., Moser, B. A., & Saminger-Platz, S. (2020). On generalization in moment-based domain adaptation. Annals of Mathematics and Artificial Intelligence, 89(3–4), 333–369.
Verifying results of the IBM Qiskit quantum circuit compilation flow

Burgholzer, L., Raymond, R., & Wille, R. (2020). Verifying Results of the IBM Qiskit Quantum Circuit Compilation Flow. 2020 IEEE International Conference on Quantum Computing and Engineering (QCE).
Advanced Equivalence Checking for Quantum Circuits

Burgholzer, L., & Wille, R. (2021). Advanced Equivalence Checking for Quantum Circuits. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 40(9), 1810–1824.
An expert review on the applicability of blockly for industrial robot programming

Winterer, M., Salomon, C., Koberle, J., Ramler, R., & Schittengruber, M. (2020). An Expert Review on the Applicability of Blockly for Industrial Robot Programming. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).
An explainable fuzzy theoretic nonparametric deep model for stress assessment using heartbeat intervals analysis

Kumar, M., Zhang, W., Weippert, M., & Freudenthaler, B. (2021). An Explainable Fuzzy Theoretic Nonparametric Deep Model for Stress Assessment Using Heartbeat Intervals Analysis. IEEE Transactions on Fuzzy Systems, 29(12), 3873–3886.
Exploring the Potential Benefits of Alternative Quantum Computing Architectures

Deb, A., Dueck, G. W., & Wille, R. (2021). Exploring the Potential Benefits of Alternative Quantum Computing Architectures. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 40(9), 1825–1835.
Image matching across wide baselines: From paper to practice

Jin, Y., Mishkin, D., Mishchuk, A., Matas, J., Fua, P., Yi, K. M., & Trulls, E. (2020). Image Matching Across Wide Baselines: From Paper to Practice. International Journal of Computer Vision, 129(2), 517–547.
Stepwise abstraction of high-level system specifications from source code

Ferrarotti, F., Moser, M., & Pichler, J. (2020). Stepwise abstraction of high-level system specifications from source code. Journal of Computer Languages, 60, 100996.
Towards drift modeling of graphene-based gas sensors using stochastic simulation techniques

Schober, S. A., Carbonelli, C., Roth, A., Zoepfl, A., & Wille, R. (2020). Towards Drift Modeling of Graphene-Based Gas Sensors Using Stochastic Simulation Techniques. 2020 IEEE SENSORS.
Towards optimal assembly line order sequencing with reinforcement learning: A case study

Shafiq, S., Mayr-Dorn, C., Mashkoor, A., & Egyed, A. (2020). Towards Optimal Assembly Line Order Sequencing with Reinforcement Learning: A Case Study. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).
(Semi)automatic translation of legal regulations to formal representations: Expanding the horizon of EDA applications

Keszocze, O., Keiner, B., Richter, M., Antpöhler, G., & Wille, R. (2020). (Semi)automatic Translation of Legal Regulations to Formal Representations: Expanding the Horizon of EDA Applications. Natural Language Processing for Electronic Design Automation, 1–11.
A scoring algorithm for abnormal passenger behavior in border-crossing areas

Vora, S., Shahriari, M., Thomopoulos, S. C. A., Fischer, L., & Hoch, T. (2020). A scoring algorithm for abnormal traveller behaviour in border crossing areas. Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV.
An architecture for automated security test case generation for MQTT systems

Sochor, H., Ferrarotti, F., & Ramler, R. (2020). An Architecture for Automated Security Test Case Generation for MQTT Systems. Database and Expert Systems Applications, 48–62.
Big Data Analytics and Knowledge Discovery. 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceeding

Song, M., Song, I.-Y., Kotsis, G., Tjoa, A. M., & Khalil, I. (Eds.). (2020). Big Data Analytics and Knowledge Discovery. Lecture Notes in Computer Science.
Cost estimation for configurable model-driven SoC designs using machine learning

Servadei, L., Mosca, E., Devarajegowda, K., Werner, M., Ecker, W., & Wille, R. (2020). Cost Estimation for Configurable Model-Driven SoC Designs Using Machine Learning. Proceedings of the 2020 on Great Lakes Symposium on VLSI.
Database and Expert Systems Applications DEXA 2020 International Workshops BIOKDD, IWCFS and MLKgraphs, Bratislava, Slovakia, September 14–17, 2020, Proceedings

Kotsis, G., Tjoa, A. M., Khalil, I., Fischer, L., Moser, B., Mashkoor, A., Sametinger, J., Fensel, A., & Martinez-Gil, J. (Eds.). (2020). Database and Expert Systems Applications. Communications in Computer and Information Science.
Detecting anomalies in production quality data using a method based on The Chi-Square Test Statistic

Mayr, M., & Himmelbauer, J. (2020). Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic. Lecture Notes in Computer Science, 348–363.
Exploiting MQTT-SN for distributed reflection denial-of-service attacks

Sochor, H., Ferrarotti, F., & Ramler, R. (2020). Exploiting MQTT-SN for Distributed Reflection Denial-of-Service Attacks. Database and Expert Systems Applications, 74–81.
Framework for data analysis in the context of the smart villages

Martinez-Gil, J., Pichler, M., Turkanović, M., Beranič, T., Gradišnik, M., Lentini, G., Lué, A., Vitale, A. C., Doukhan, G., & Belet, C. (2020). Framework for Data Analysis in the Context of the Smart Villages. Lecture Notes in Computer Science, 31–45.
Oil and asset classes implied volatilities: Investment strategies and hedging effectiveness

Antonakakis, N., Cunado, J., Filis, G., Gabauer, D., & de Gracia, F. P. (2020). Oil and asset classes implied volatilities: Investment strategies and hedging effectiveness. Energy Economics, 91, 104762.
Variational optimization of informational privacy

Kumar, M., Brunner, D., Moser, B. A., & Freudenthaler, B. (2020). Variational Optimization of Informational Privacy. Database and Expert Systems Applications, 32–47.
YASSi: Yet Another Symbolic Simulator Large (Tool Demo)

Pointner, S., Gonzalez-de-Aledo, P., & Wille, R. (2020). YASSi: Yet Another Symbolic Simulator Large (Tool Demo). Database and Expert Systems Applications, 25–31.
A lightweight customized build chain visualization approach applied in industry

Klammer, C., & Gmeiner, J. (2020). A Lightweight Customized Build Chain Visualization Approach Applied in Industry. 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).
A semi-supervised approach for network intrusion detection

Švihrová, R., & Lettner, C. (2020). A semi-supervised approach for network intrusion detection. Proceedings of the 15th International Conference on Availability, Reliability and Security.
Advanced exact synthesis of Clifford+T Circuits

Niemann, P., Wille, R., & Drechsler, R. (2020). Advanced exact synthesis of Clifford+T circuits. Quantum Information Processing, 19(9).
An annotated fluorescence image dataset for training nuclear segmentation methods

Kromp, F., Bozsaky, E., Rifatbegovic, F., Fischer, L., Ambros, M., Berneder, M., Weiss, T., Lazic, D., Dörr, W., Hanbury, A., Beiske, K., Ambros, P. F., Ambros, I. M., & Taschner-Mandl, S. (2020). An annotated fluorescence image dataset for training nuclear segmentation methods. Scientific Data, 7(1).
Applying AI in practice: Key challenges and lessons learned

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Automated security test generation for MQTT using attack patterns

Sochor, H., Ferrarotti, F., & Ramler, R. (2020). Automated security test generation for MQTT using attack patterns. Proceedings of the 15th International Conference on Availability, Reliability and Security.
Predicting survived and killed mutants

Duque-Torres, A., Doliashvili, N., Pfahl, D., & Ramler, R. (2020). Predicting Survived and Killed Mutants. 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
ToPoliNano and fiction: Design tools for field-coupled nanocomputing

Garlando, U., Walter, M., Wille, R., Riente, F., Torres, F. S., & Drechsler, R. (2020). ToPoliNano and fiction: Design Tools for Field-coupled Nanocomputing. 2020 23rd Euromicro Conference on Digital System Design (DSD).
Bail on balancing: An alternative approach to the physical design of field-coupled nanocomputing circuits

Walter, M., Wille, R., Sill Torres, F., & Drechsler, R. (2020). Bail on Balancing: An Alternative Approach to the Physical Design of Field-Coupled Nanocomputing Circuits. 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).
Differentially private learning of distributed deep models

Kumar, M., Rossbory, M., Moser, B. A., & Freudenthaler, B. (2020). Differentially Private Learning of Distributed Deep Models. Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization.
Integrating HeuristicLab with compilers and interpreters for non-functional code optimization

Dorfmeister, D., & Krauss, O. (2020). Integrating heuristiclab with compilers and interpreters for non-functional code optimization. Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion.
SAT-based exact physical design for field-coupled nanocomputing technologies

Walter, M., Haaswijk, W., Wille, R., Sill Torres, F., & Drechsler, R. (2020) SAT-based exact physical design for field-coupled nanocomputing technologies. IWLS 2020 - 29th International Workshop on Logic & Synthesis co-located with IEEE/ACM Design Automation Conference, San Francisco, CA, USA, July 18-19, 2020.
A restricted second-order logic for non-deterministic poly-logarithmic time

Ferrarotti, F., GonzÁles, S., Schewe, K.-D., & Turull-Torres, J. M. (2020). A restricted second-order logic for non-deterministic poly-logarithmic time. Logic Journal of the IGPL, 28(3), 389–412.
Detection in changes in wear-behaviour in data from continuous wear analysis

Glock, A. C. (2020) Detection in changes in wear-behaviour in data from continuous wear analysis. Master thesis, FH OÖ, Fachhochschul-Masterstudiengang Data Science and Engineering, June 2020.
A logic for reflective ASMs

Schewe, K.-D., & Ferrarotti, F. (2020). A Logic for Reflective ASMs. Lecture Notes in Computer Science, 93–106.
Kornia: an open source differentiable computer vision library for PyTorch

Riba, E., Mishkin, D., Ponsa, D., Rublee, E., & Bradski, G. (2020). Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).
Saddle: Fast and repeatable features with good coverage

Aldana-Iuit, J., Mishkin, D., Chum, O., & Matas, J. (2020). Saddle: Fast and repeatable features with good coverage. Image and Vision Computing, 97, 3807.
Scenario based approach in Connecting Austria for the development and validation of connect, cooperative, (semi-)automated driving in the case of intersections

Kuhn, A., Carmona, J., Schirrer, A., Hoch, T., Pollhammer, K., Hirschmann-Kraschl, K., & Schildorfer, W. (2020) Scenario based approach in Connecting Austria for the development and validation of connect, cooperative, (semi-)automated driving in the case of intersections. Proceedings of the 8th Transport Research Arena, 200-201.
A data transformation for the estimation of decay types of multivariate distributions

Sobieczky, F., Shahriari, M., & Freudenthaler, B. (2020). A data transformation for the estimation of decay types of multivariate distributions. Procedia Manufacturing, 42, 524–527.
A deep learning approach to the inversion of borehole resistivity measurements

Shahriari, M., Pardo, D., Picon, A., Galdran, A., Del Ser, J., & Torres-Verdín, C. (2020). A deep learning approach to the inversion of borehole resistivity measurements. Computational Geosciences, 24(3), 971–994.
A deep neural network as surrogate model for forward simulation of borehole resistivity measurements

Shahriari, M., Pardo, D., Moser, B., & Sobieczky, F. (2020). A Deep Neural Network as Surrogate Model for Forward Simulation of Borehole Resistivity Measurements. Procedia Manufacturing, 42, 235–238.
Adversarial robustness in data augmentation

Eghbal-zadeh, H., Koutini, K., Haunschmid, V., Primus, P., Lewandowski, M., Zellinger, W., & Widmer, G. (2020) ICLR 2020 Workshop Towards Trustworthy ML: Rethinking Security and Privacy for ML.
An early investigation of unit testing practices of component-based software systems

Buchgeher, G., Fischer, S., Moser, M., & Pichler, J. (2020). An Early Investigation of Unit Testing Practices of Component-Based Software Systems. 2020 IEEE Workshop on Validation, Analysis and Evolution of Software Tests (VST).
An empirical evaluation for object initialization of member variables in unit testing

Fischer, S., Haslinger, E. N., Zimmermann, M., & Thaller, H. (2020). An Empirical Evaluation for Object Initialization of Member Variables in Unit Testing. 2020 IEEE Workshop on Validation, Analysis and Evolution of Software Tests (VST).
An integrated approach for power transformer modeling and manufacturing

Lettner, C., Moser, M., & Pichler, J. (2020). An integrated approach for power transformer modeling and manufacturing. Procedia Manufacturing, 42, 351–355.
Enhancing industrial maintenance through intelligent data analysis

Praher, P., Freudenthaler, B., Schröder, W., & Sobieczky, F. (2020). Enhancing Industrial Maintenance Through Intelligent Data Analysis. Lecture Notes in Computer Science, 469–476.
From pairs of most similar sequences to phylogenetic best matches

Stadler, P. F., Geiß, M., Schaller, D., López Sánchez, A., González Laffitte, M., Valdivia, D. I., Hellmuth, M., & Hernández Rosales, M. (2020). From pairs of most similar sequences to phylogenetic best matches. Algorithms for Molecular Biology, 15(1).
General model for tracking manufacturing products using graph databases

Martinez-Gil, J., Stumptner, R., Lettner, C., Pichler, M., Mahmoud, S., Praher, P., & Freudenthaler, B. (2020). General Model for Tracking Manufacturing Products Using Graph Databases. Data-Driven Process Discovery and Analysis, 86–100.
Leveraging machine learning for software redocumentation

Geist, V., Moser, M., Pichler, J., Beyer, S., & Pinzger, M. (2020). Leveraging Machine Learning for Software Redocumentation. 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER).
Live replay of screen videos: Automatically executing real applications as shown in recordings

Ramler, R., Gattringer, M., & Pichler, J. (2020). Live Replay of Screen Videos: Automatically Executing Real Applications as Shown in Recordings. 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER).
Predictive Maintenance - Grundvoraussetzungen, Schritte und Möglichkeiten aus Data Analytics Sicht

Freudenthaler, B. (2020) Predictive Maintenance - Grundvoraussetzungen, Schritte und Möglichkeiten aus Data Analytics Sicht. Jahrbuch Instandhaltungstage 2020, pages 131-134, April 2020.
Proceedings of the 2020 IEEE 3rd International Workshop on Validation, Analysis, and Evolution of Software Tests (VST'20), IEEE, February 2020.

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Tackling semantic shift in industrial streaming data over time

Ehrlinger, L., Lettner, C., & Himmelbauer, J. (2020) Tackling semantic shift in industrial streaming data over time Proceedings of the 12th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2020), pages 36-39, IARIA, October 2020.
Towards fault localization via probabilistic software modeling

Thaller, H., Linsbauer, L., Egyed, A., & Fischer, S. (2020). Towards Fault Localization via Probabilistic Software Modeling. 2020 IEEE Workshop on Validation, Analysis and Evolution of Software Tests (VST).
Unimodularity of network representations of time-series for unbiased parameter estimation

Sobieczky, F. (2020). Unimodularity of Network Representations of Time-Series for Unbiased Parameter Estimation. Lecture Notes in Computer Science, 167–175.
Addressing evolving requirements faced by the software industry

Biró, M., Colomo‐Palacios, R., & Messnarz, R. (2020). Addressing evolving requirements faced by the software industry. Journal of Software: Evolution and Process, 32(3). Portico.
Borehole resistivity simulations of oil-water transition zones with a 1.5D numerical solver

Shahriari, M., & Pardo, D. (2020). Borehole resistivity simulations of oil-water transition zones with a 1.5D numerical solver. Computational Geosciences, 24(3), 1285–1299.
Special Issue: Addressing Evolving Requirements Faced by the Software Industry

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To index or not to index: Time–space trade-offs for positional ranking functions in search engines

Arroyuelo, D., González, S., Marin, M., Oyarzún, M., Suel, T., & Valenzuela, L. (2020). To index or not to index: Time–space trade-offs for positional ranking functions in search engines. Information Systems, 89, 101466.
A framework for factory-trained virtual sensor models based on censored production data

Luftensteiner, S., & Zwick, M. (2020). A Framework for Factory-Trained Virtual Sensor Models Based on Censored Production Data. Database and Expert Systems Applications, 3–16.
An optimal (∊,δ)-differentially private learning of distributed deep fuzzy model

Kumar, M., Rossbory, M., Moser, B. A., & Freudenthaler, B. (2021). An optimal (∊,δ)-differentially private learning of distributed deep fuzzy models. Information Sciences, 546, 87–120.
Automated test reuse for highly conﬁgurable software

Fischer, S., Michelon, G. K., Ramler, R., Linsbauer, L., & Egyed, A. (2020). Automated test reuse for highly configurable software. Empirical Software Engineering, 25(6), 5295–5332.
Domain-invariant regression under Beer-Lambert’s Law

Nikzad-Langerodi, R., Zellinger, W., Saminger-Platz, S., & Moser, B. (2019). Domain-Invariant Regression Under Beer-Lambert’s Law. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).
Moment-based domain adaption: Learning bounds and algorithms

PhD thesis, Joahnnes Kepler University Linz, Doctoral Program Technische Wissenschaften, February 2020.
Software Competence Center Hagenberg: Wissens- und Technologietransfer in Software und Data Science

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Software Engineering: Forschung - Innovation - Transfer

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The SERUMS tool-chain: Ensuring security and privacy of medical data in smart patient-centric healthcare systems

Janjic, V., Bowles, J. K. F., Vermeulen, A. F., Silvina, A., Belk, M., Fidas, C., Pitsillides, A., Kumar, M., Rossbory, M., Vinov, M., Given-Wilson, T., Legay, A., Blackledge, E., Arredouani, R., Stylianou, G., & Huang, W. (2019). The SERUMS tool-chain: Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems. 2019 IEEE International Conference on Big Data (Big Data).
Vers une évolution cohérente des systémes dynamiques á partir des méthodes formelles

PhD thesis, Université Abdelhamid Ibn Badis Mostaganem, February 2020.
Formalizing architectural rules with ontologies - An industrial evaluation

Schroder, S., & Buchgeher, G. (2019). Formalizing Architectural Rules with Ontologies - An Industrial Evaluation. 2019 26th Asia-Pacific Software Engineering Conference (APSEC).
Mixture density generative adversarial networks

Eghbal-zadeh, H., Zellinger, W., & Widmer, G. (2019). Mixture Density Generative Adversarial Networks. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Proper hierarchies in polylogarithmic time and absence of complete problems

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A systematic mapping study on best practices for domain-specific modeling

Czech, G., Moser, M., & Pichler, J. (2019). A systematic mapping study on best practices for domain-specific modeling. Software Quality Journal, 28(2), 663–692.
Analyse-Tools zur Verwendung bei Gelelektorphorese

Mayer, R. (2020) Analyse-Tools zur Verwendung bei Gelelektorphorese. Bachelor thesis, FH OÖ, Fachhochschul-Bachelorstudiengang Medizin- und Bioinformatik, May 2020.
Feature Extraction for Day-ahead Electricity-Load Forecasting in Residential Buildings

Kychkin, A. V., & Chasparis, G. C. (2020). Feature Extraction for Day-ahead Electricity-Load Forecasting in Residential Buildings. IFAC-PapersOnLine, 53(2), 13094–13100.
Reinforcement-Learning-based Optimization for Day-ahead Flexibility Extraction in Battery Pools

Chasparis, G. C., & Lettner, C. (2020). Reinforcement-Learning-based Optimization for Day-ahead Flexibility Extraction in Battery Pools. IFAC-PapersOnLine, 53(2), 13351–13358.
ReLU code space: A basis for rating network quality besides accuracy

Shepeleva, Natalia, Zellinger, Werner, Lewandowski, Michal, & Moser, Bernhard. (2020). ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy (Version 1). arXiv.
Transformation of java source code to base-level Abstract State Machine. Design and implementation

Ferrarotti, F., Moser, M., & Pichler, J. (2020) Transformation of java source code to base-level Abstract State Machine. Design and implementation. Technical Report, number SCCH-TR-20058, Software Competence Center Hagenberg, July 2020.
2019
Formal design of scalable conversation protocols using Event‐B: Validation, experiments, and benchmark

Benyagoub, S., Aït‐Ameur, Y., Ouederni, M., Mashkoor, A., & Medeghri, A. (2019). Formal design of scalable conversation protocols using Event‐B: Validation, experiments, and benchmarks. Journal of Software: Evolution and Process, 32(2). Portico.
Optimal selection of training courses for unemployed people based on stable marriage model

Martinez-Gil, J., & Freudenthaler, B. (2019). Optimal Selection of Training Courses for Unemployed People based on Stable Marriage Model. Proceedings of the 21st International Conference on Information Integration and Web-Based Applications & Services.
Special Issue: Security- and safety-critical cyber-physical systems

Mashkoor, A., Sametinger, J., Biro, M., & Egyed, A. (2019). Security‐ and safety‐critical cyber‐physical systems. Journal of Software: Evolution and Process, 32(2). Portico.
Special Issue: Security‐ and Safety‐Critical Cyber‐Physical Systems

Mashkoor, A., Sametinger, J., Biro, M., & Egyed, A. (2019). Security‐ and safety‐critical cyber‐physical systems. Journal of Software: Evolution and Process, 32(2). Portico.
Design and validation of a C++ code generator from Abstract State Machines specifications

Bonfanti, S., Gargantini, A., & Mashkoor, A. (2019). Design and validation of a C++ code generator from Abstract State Machines specifications. Journal of Software: Evolution and Process, 32(2). Portico.
Detection of anomalous events in the wear-behaviour of continuously recorded sliding friction pairs

Glock, A.-C., Sobieczky, F., & Jech, M. (2019). Detection of anomalous events in the wear-behaviour of continuously recorded sliding friction pairs. Symposium 2019 Tribologie in Industrie und Forschung, pages 33-40, ÖTG, November 2019.
Establishing a user-centered design process for human-machine interfaces: Threats to success

Winterer, M., Salomon, C., Buchgeher, G., Zehethofer, M., & Derntl, A. (2019). Establishing a User-Centered Design Process for Human-Machine Interfaces: Threats to Success. Lecture Notes in Computer Science, 89–102.
Facing mental workload in AI-transformed working environments

Gusenleitner, N., Siedl, S., Stübl, G., Polleres, A., Recski, G., Sommer, R., Leva, M. C., Pichler, M., Kopetzky, T., &Moser, B. (2019). Facing mental workload in AI-transformed working environments. H-WORKLOAD 2019 : 3rd International Symposium on Human Mental Workload: Models and Applications, Rome, Italy, November 14-15, 2019.
Improving quality of data exchange files. An industrial case study

Fleck, G., Moser, M., & Pichler, J. (2019). Improving Quality of Data Exchange Files. An Industrial Case Study. Lecture Notes in Computer Science, 161–175.
Integrating threat modeling and automated test case generation into industrialized software security testing

Marksteiner, S., Ramler, R., & Sochor, H. (2019). Integrating Threat Modeling and Automated Test Case Generation into Industrialized Software Security Testing. Proceedings of the Third Central European Cybersecurity Conference.
Multifaceted consistency checking of collaborative engineering artifacts

Trols, M. A., Mashkoor, A., & Egyed, A. (2019). Multifaceted Consistency Checking of Collaborative Engineering Artifacts. 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C).
New Trends in Model and Data Engineering, MEDI 2019 International Workshops, DETECT, DSSGA, TRIDENT, Toulouse, France, October 28–31, 2019, Proceedings, Communications in Computer and Information Science, volume 1085

Attiogbé, C., Ferrarotti, F., & Maabout, S. (Eds.). (2019). New Trends in Model and Data Engineering. Communications in Computer and Information Science.
Predictive Maintenance - Projektbeispiele aus der anwendungsorientierten Forschung

Freudenthaler, B. (2019). Predictive Maintenance - Projektbeispiele aus der anwendungsorientierten Forschung. Symposium 2019 Tribologie in Industrie und Forschung, pages 5-10, ÖTG, November 2019.
A general framework for multiple choice question answering based on mutual information and reinforced co-occurrence

Martinez-Gil, J., Freudenthaler, B., & Tjoa, A. M. (2019). A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence. Lecture Notes in Computer Science, 91–110.
Automatic design of semantic similarity controllers based on fuzzy logics

Martinez-Gil, J., & Chaves-Gonzalez, J. M. (2019). Automatic design of semantic similarity controllers based on fuzzy logics. Expert Systems with Applications, 131, 45–59.
BSP abstract state machines capture bulk synchronous prallel computations

Ferrarotti, F., González, S., & Schewe, K.-D. (2019). BSP abstract state machines capture bulk synchronous parallel computations. Science of Computer Programming, 184, 102319.
Enhancing acceptance test-driven development with model-based test generation

Ramler, R., & Klammer, C. (2019). Enhancing Acceptance Test-Driven Development with Model-Based Test Generation. 2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C).
Extracting high-level system specifications from source code via abstract state machines

Ferrarotti, F., Pichler, J., Moser, M., & Buchgeher, G. (2019). Extracting High-Level System Specifications from Source Code via Abstract State Machines. Lecture Notes in Computer Science, 267–283.
Facilitating the digital transformation of villages

Beranič, T., Zamuda, A., Brezočnik, L., Lentini, G., Polettini, F., Lue, A., Colorni Vitale, A., Martinez-Gil, J., Pichler, M., & Turkanović, M. (2019) Facilitating the digital transformation of villages. Proceedings of the Central European Conference on Information and Intelligent Systems (CECIIS 2019), pages 281-288, October 2019.
Fuzzy membership functional analysis for nonparametric deep models of image features

Kumar, M., & Freudenthaler, B. (2020). Fuzzy Membership Functional Analysis for Nonparametric Deep Models of Image Features. IEEE Transactions on Fuzzy Systems, 28(12), 3345–3359.
Multi-source transfer learning of time series in cyclical manufacturing

Zellinger, W., Grubinger, T., Zwick, M., Lughofer, E., Schöner, H., Natschläger, T., & Saminger-Platz, S. (2019). Multi-source transfer learning of time series in cyclical manufacturing. Journal of Intelligent Manufacturing, 31(3), 777–787.
Robust generalized fuzzy systems training from high-dimensional time-series data using local structure preserving PLS

Lughofer, E., & Nikzad-Langerodi, R. (2020). Robust Generalized Fuzzy Systems Training From High-Dimensional Time-Series Data Using Local Structure Preserving PLS. IEEE Transactions on Fuzzy Systems, 28(11), 2930–2943.
A cooperative demand-response framework for day-ahead optimization in battery pools

Chasparis, G. C., Pichler, M., Spreitzhofer, J., & Esterl, T. (2019). A cooperative demand-response framework for day-ahead optimization in battery pools. Energy Informatics, 2(S1).
A deep learning model for detecting sarcasm in written product reviews

Schwarz, N. (2019) A deep learning model for detecting sarcasm in written product reviews. Master thesis, FH OÖ, Fachhochschul-Masterstudiengang Data Science and Engineering, September 2019.
A framework for unsupervised anomaly detection in production quality data

Mayr, M. (2019). A framework for unsupervised anomaly detection in production quality data. Master thesis, FH OÖ, Fachhochschul-Masterstudiengang Data Science and Engineering, September 2019.
A recommender system for software architecture decision making

Brandner, K., & Weinreich, R. (2019). A recommender system for software architecture decision making. Proceedings of the 13th European Conference on Software Architecture - Volume 2.
An event-driven approach for time-domain recognition of spoken english letters

Qaisar, S. M., Laskar, S., Lunglmayr, M., Moser, B. A., Abdulbaqi, R., & Banafia, R. (2019). An Event-Driven Approach for Time-Domain Recognition of Spoken English Letters. 2019 5th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP).
Applicability of controlled natural languages for architecture analysis and documentation: an industrial case study

Schröder, S., & Buchgeher, G. (2019). Applicability of controlled natural languages for architecture analysis and documentation. Proceedings of the 13th European Conference on Software Architecture - Volume 2.
Automating test reuse for highly configurable software

Fischer, S., Ramler, R., Linsbauer, L., & Egyed, A. (2019). Automating Test Reuse for Highly Configurable Software. Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A.
Design and implementation of a graph-based solution for tracking manufacturing products

Martinez-Gil, J., Stumpner, R., Lettner, C., Pichler, M., & Fragner, W. (2019). Design and Implementation of a Graph-Based Solution for Tracking Manufacturing Products. New Trends in Databases and Information Systems, 417–423.
Discovering architectural rules in practice

Schröder, S., & Buchgeher, G. (2019). Discovering architectural rules in practice. Proceedings of the 13th European Conference on Software Architecture - Volume 2.
Framework for assessing the smartness maturity level of villages

Martinez-Gil, J., Pichler, M., Beranič, T., Brezočnik, L., Turkanović, M., Lentini, G., Polettini, F., Lué, A., Vitale, A. C., Doukhan, G., & Belet, C. (2019). Framework for Assessing the Smartness Maturity Level of Villages. New Trends in Databases and Information Systems, 501–512.
Neue Programmiersprachen im Web

Piereder, C. (2019). Neue Programmiersprachen im Web. Bachelor thesis, FH OÖ, Fachhochschul-Bachelorstudiengang Software Engineering, September 2019.
Tradeoff analysis of discrepancy-based adaptive thresholding approach

Lunglmayr, M., Qaisar, S. M., & Moser, B. A. (2019). Tradeoff Analysis of Discrepancy-Based Adaptive Thresholding Approach. 2019 5th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP).
A DaQL to monitor data quality in machine learning applications

Ehrlinger, L., Haunschmid, V., Palazzini, D., & Lettner, C. (2019). A DaQL to Monitor Data Quality in Machine Learning Applications. Database and Expert Systems Applications, 227–237.
An efficient design for a multi-objective evolutionary algorithm to generate DNA libraries suitable for computation

Chaves-González, J. M., & Martínez-Gil, J. (2018). An Efficient Design for a Multi-objective Evolutionary Algorithm to Generate DNA Libraries Suitable for Computation. Interdisciplinary Sciences: Computational Life Sciences, 11(3), 542–558.
Deriving an optimal noise adding mechanism for privacy-preserving machine learning.

Kumar, M., Rossbory, M., Moser, B. A., & Freudenthaler, B. (2019). Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning. Database and Expert Systems Applications, 108–118.
Lessons learned from making the transition to model-based GUI testing

Ramler, R., Klammer, C., & Wetzlmaier, T. (2019). Lessons learned from making the transition to model-based GUI testing. Proceedings of the 10th ACM SIGSOFT International Workshop on Automating TEST Case Design, Selection, and Evaluation.
Measurement-based efficient resource allocation with demand-side adjustments

Chasparis, G. C. (2019). Measurement-based efficient resource allocation with demand-side adjustments. Automatica, 106, 274–283.
ML-PipeDebugger: A debugging tool for data processing pipelines?

Kossak, F., & Zwick, M. (2019). ML-PipeDebugger: A Debugging Tool for Data Processing Pipelines. Database and Expert Systems Applications, 263–272.
Multiple choice question answering in the legal domain using reinforced co-occurrence

Martinez-Gil, J., Freudenthaler, B., & Tjoa, A. M. (2019). Multiple Choice Question Answering in the Legal Domain Using Reinforced Co-occurrence. Database and Expert Systems Applications, 138–148.
On conditioning GANs to hierarchical ontologies

Eghbal-zadeh, H., Fischer, L., & Hoch, T. (2019). On Conditioning GANs to Hierarchical Ontologies. Database and Expert Systems Applications, 182–186.
Security risk mitigation of cyber physical systems: A case study of a flight simulator

Zahid, M., Inayat, I., Mashkoor, A., & Mehmood, Z. (2019). Security Risk Mitigation of Cyber Physical Systems: A Case Study of a Flight Simulator. Database and Expert Systems Applications, 129–138.
Shifting paradigms in innovation management – Organic growth strategies in the cloud

Messnarz, R., Sauberer, G., Mac an Airchinnigh, M., Biro, M., Ekert, D., & Reiner, M. (2019). Shifting Paradigms in Innovation Management – Organic Growth Strategies in the Cloud. Systems, Software and Services Process Improvement, 28–42.
Improving offline deep learning models by censored online data and quadratic programming

Luftensteiner, S. (2019) Improving offline deep learning models by censored online data and quadratic programming. Master thesis, FH OÖ, Fachhochschul-Masterstudiengang Software Engineering, July 2019.
The polylog-time hierarchy captured by restricted second-order logic

Ferrarotti, F., Gonzalez, S., Schewe, K.-D., & Turull-Torres, J. M. (2018). The Polylog-Time Hierarchy Captured by Restricted Second-Order Logic. 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).
Towards a data-driven approach for fraud detection in the social insurance field: A case study in Upper Austria

Himmelbauer, J., Martinez-Gil, J., Ksen, M., Linner, K., & Plakolm, S. (2019). Towards a Data-Driven Approach for Fraud Detection in the Social Insurance Field: A Case Study in Upper Austria. Lecture Notes in Computer Science, 70–84.
A demand-response framework in balance groups through direct battery-storage control

Chasparis, G. C., Pichler, M., & Natschlager, T. (2019). A Demand-Response Framework in Balance Groups through Direct Battery-Storage Control. 2019 18th European Control Conference (ECC).
A novel approach for learning how to automatically match job offers and candidate profiles

Martinez-Gil, J., Paoletti, A. L., & Pichler, M. (2019). A Novel Approach for Learning How to Automatically Match Job Offers and Candidate Profiles. Information Systems Frontiers, 22(6), 1265–1274.
Collaboratively enhanced consistency checking in a cloud-based engineering environment

Tröls, M. A., Mashkoor, A., & Egyed, A. (2019). Collaboratively enhanced consistency checking in a cloud-based engineering environment. Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems.
Descriptive complexity of deterministic polylogarithmic time

Ferrarotti, F., González, S., Turull Torres, J. M., Van den Bussche, J., & Virtema, J. (2019). Descriptive Complexity of Deterministic Polylogarithmic Time. Lecture Notes in Computer Science, 208–222.
Optimization heuristics for computing the voronoi skeleton

Kotsur, D., & Tereshchenko, V. (2019). Optimization Heuristics for Computing the Voronoi Skeleton. Computational Science – ICCS 2019, 96–111.
Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project

Meloni, P., Loi, D., Deriu, G., Pimentel, A. D., Saprat, D., Pintort, M., Biggio, B., Ripolles, O., Solans, D., Conti, F., Benini, L., Stefanov, T., Minakova, S., Moser, B., Shepeleva, N., Masin, M., Palumbo, F., Fragoulis, N., & Theodorakopoulos, I. (2018). Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project. 2018 30th International Conference on Microelectronics (ICM).
On quasi-isometry of threshold-based sampling

Moser, B. A., & Lunglmayr, M. (2019). On Quasi-Isometry of Threshold-Based Sampling. IEEE Transactions on Signal Processing, 67(14), 3832–3841.
Robust unsupervised domain adaptation for neural networks via moment alignment

Zellinger, W., Moser, B. A., Grubinger, T., Lughofer, E., Natschläger, T., & Saminger-Platz, S. (2019). Robust unsupervised domain adaptation for neural networks via moment alignment. Information Sciences, 483, 174–191.
Semantic similarity aggregators for very short textual expressions: A case study on landmarks and points of interest

Martinez-Gil, J. (2019). Semantic similarity aggregators for very short textual expressions: a case study on landmarks and points of interest. Journal of Intelligent Information Systems, 53(2), 361–380.
Thirteen years of SysML: A systematic mapping study

Wolny, S., Mazak, A., Carpella, C., Geist, V., & Wimmer, M. (2019). Thirteen years of SysML: a systematic mapping study. Software and Systems Modeling, 19(1), 111–169.
Using decision models for documenting microservice architectures: A student experiment and focus group study

Haselbock, S., Weinreich, R., & Buchgeher, G. (2019). Using Decision Models for Documenting Microservice Architectures: A Student Experiment and Focus Group Study. 2019 IEEE International Conference on Service-Oriented System Engineering (SOSE).
A novel data quality metric for minimality

Ehrlinger, L., & Wöß, W. (2019). A Novel Data Quality Metric for Minimality. Data Quality and Trust in Big Data, 1–15.
Automated schema quality measurement in large-scale information systems

Ehrlinger, L., & Wöß, W. (2019). Automated Schema Quality Measurement in Large-Scale Information Systems. Data Quality and Trust in Big Data, 16–31.
Fuzzy theoretic model based analysis of image features

Kumar, M., Chatterjee, S., Zhang, W., Yang, J., & Kolbe, L. M. (2019). Fuzzy theoretic model based analysis of image features. Information Sciences, 480, 34–54.
Live and global consistency checking in a collaborative engineering environment

Tröls, M. A., Mashkoor, A., & Egyed, A. (2019). Live and global consistency checking in a collaborative engineering environment. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing.
An algorithm for individual intermediate filament tracking

Kotsur, D., Yakobenchuk, R., Leube, R. E., Windoffer, R., & Mattes, J. (2019). An Algorithm for Individual Intermediate Filament Tracking. Lecture Notes in Computer Science, 66–74.
Feature Maps: A Comprehensible Software Representation for Design Pattern Detection

Thaller, H., Linsbauer, L., & Egyed, A. (2019). Feature Maps: A Comprehensible Software Representation for Design Pattern Detection. 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER).
Learning-based dynamic pinning of parallelized applications in many-core systems

Chasparis, G. C., Rossbory, M., Janjic, V., & Hammond, K. (2019). Learning-Based Dynamic Pinning of Parallelized Applications in Many-Core Systems. 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).
Leveraging outdoor webcams for local descriptor learning

Pultar, Milan, Mishkin, Dmytro, & Matas, Jiri. (2019). Leveraging Outdoor Webcams for Local Descriptor Learning. Verlag der Technischen Universität Graz.
An expert interview study on areas of microservice design

Haselbock, S., Weinreich, R., & Buchgeher, G. (2018). An Expert Interview Study on Areas of Microservice Design. 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA).
Benefits and drawbacks of representing and analyzing source code and software engineering artifacts with graph databases

Ramler, R., Buchgeher, G., Klammer, C., Pfeiffer, M., Salomon, C., Thaller, H., & Linsbauer, L. (2018). Benefits and Drawbacks of Representing and Analyzing Source Code and Software Engineering Artifacts with Graph Databases. Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud, 125–148.
Decentralized energy networks based on blockchain: Background, overview and concept discussion

Pichler, M., Meisel, M., Goranovic, A., Leonhartsberger, K., Lettner, G., Chasparis, G., Vallant, H., Marksteiner, S., & Bieser, H. (2019). Decentralized Energy Networks Based on Blockchain: Background, Overview and Concept Discussion. Lecture Notes in Business Information Processing, 244–257.
Microservice design space analysis and decision documentation: A case study on API management

Haselbock, S., Weinreich, R., Buchgeher, G., & Kriechbaum, T. (2018). Microservice Design Space Analysis and Decision Documentation: A Case Study on API Management. 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA).
Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games

Chasparis, G. C. (2019). Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games. IEEE Transactions on Automatic Control, 64(11), 4454–4469.
Why software testing fails: Common pitfalls observed in a critical smart metering project

Mohacsi, S., & Ramler, R. (2018). Why Software Testing Fails: Common Pitfalls Observed in a Critical Smart Metering Project. Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud, 73–92.
A schema readability metric for automated data quality measurement

Ehrlinger, L., Huszar, G., & Wöß, W. (2019). A schema readability metric for automated data quality measurement. Proceedings of the 11th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2019), pages 4-10, IARIA, June 2019.
Enhancing industrial maintenance through intelligent data analysis

Praher, P., Freudenthaler, B., Schröder, W., & Sobieczky, F. (2020). Enhancing Industrial Maintenance Through Intelligent Data Analysis. Lecture Notes in Computer Science, 469–476.
Towards a knowledge graph to describe and process data defects

Borovina Josko, J. M., Ehrlinger, L., & Wöß, W. (2019). Towards a knowledge graph to describe and process data defects. Proceedings of the 11th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2019), pages 57-60, IARIA, June 2019.
Unimodularity of network representations of time-series for unbiased parameter estimation

Sobieczky, F. (2020). Unimodularity of Network Representations of Time-Series for Unbiased Parameter Estimation. Lecture Notes in Computer Science, 167–175.
2018
Multi-parameter online measurement IoT system based on BP neural network algorithm

Zhang, W., Kumar, M., & Liu, J. (2018). Multi-parameter online measurement IoT system based on BP neural network algorithm. Neural Computing and Applications, 31(12), 8147–8155.
An adaptive fuzzy filter for image denoising

Zhang, W., Kumar, M., Yang, J., Zhou, Y., & Mao, Y. (2018). An adaptive fuzzy filter for image denoising. Cluster Computing, 22(S6), 14107–14124.

Publikationen

2025

A novel framework for systematic propositional formula simplification based on existential graphs

A Survey on the Functionalities of Data Catalog Tools

Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures

Automating Invariant Filtering: Leveraging LLMs to Streamline Test Oracle Generation

Balancing Software Innovation and Regulatory Compliance: Proceedings of the 17th International Conference on Software Quality, SWQD 2025

Icewafl: A Configurable Data Stream Polluter

VFLBench: A Practical Benchmark for Vertical Federated Learning in Manufacturing

On the sampling sparsity of analog-to-spike conversion based on leaky integrate-and-fire

Software-Hardware Binding for Protection of Sensitive Data in Embedded Software

Automated Knowledge Graph Learning in Industrial Processes

Leveraging Rowhammer for Physically Unique and Non-tamperable Device Identification

MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

A Data Quality Dashboard for (Security) Knowledge Graphs

An overview of civic engagement tools for rural communities

Investigating the Potential of Latent Space for the Classification of Paint Defects

Trend detection using Mann-Kendall test

2024

Evaluating AI-based Code Segmentation for ABAP Programs in an Industrial Use Case

On-farm NIR sensor for milk analysis: exploitation of bias monitoring and bias correction

Responsible Annotation - Von der Idee zur Praxis: Inklusives Team markiert Daten für KI-Training

Shuttling for Scalable Trapped-Ion Quantum Computers

The impact of new package managers on the library dependency ecosystem

Towards Solving Short-Term Generation Scheduling Problems on Quantum Computers

Understanding Microservice Runtime Monitoring Data for Anomaly Detection with Structural Equation Modeling

Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities

GrammarForge: Learning Program Input Grammars for Fuzz Testing

Hybrid Circuit Mapping: Leveraging the Full Spectrum of Computational Capabilities of Neutral Atom Quantum Computers

Managing Human-AI Collaborations within Industry 5.0 Scenarios via Knowledge Graphs: Key Challenges and Lessons Learned

Mixed-Dimensional Qudit State Preparation Using Edge-Weighted Decision Diagrams

Constraint-based Measurement and Aggregation of Data Quality

Contributions to Systems Software and Service Process Improvement and Innovation Based on Recent Advances

Evaluation of Code Similarity Search Strategies in Large-Scale Codebases

Leveraging the Power of LLMs to Transform Robot Programs into Low-Code

Low-Code Development and End-User Development: (How) Are They Different?

The Turing Game

Towards an Optimization Pipeline for the Design of Train Control Systems with Hybrid Train Detection

A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem

An Abstract Model and Efficient Routing for Logical Entangling Gates on Zoned Neutral Atom Architectures

Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies

Automatic Validation and Design of Microfluidic Devices Following the ISO 22916 Standard

Breaking Boundaries in Industrial Programming: Towards a Novel Architecture for Machine Controls

CertGraph: Towards a Comprehensive Knowledge Graph for Cloud Security Certifications

Comparing Lazy Constraint Selection Strategies in Train Routing with Moving Block Control

Enhancing Reaction Systems with Guards for Analysing Comorbidity Treatment Strategies

First Experiments on Automated Execution of Gherkin Test Specifications with Collaborating LLM Agents

Load Shifting in Energy Communities by Providing User-Centered Recommendations - Forecast, Optimization and Potential

QDMI - Quantum Device Management Interface: Hardware-Software Interface for the Munich Quantum Software Stack

Technology Mapping for Cryogenic CMOS Circuits

Towards Equivalence Checking of Classical Circuits Using Quantum Computing

Using Compiler Frameworks for the Evaluation of Hardware Design Choices in Trapped-Ion Quantum Computers

Utilizing Resource Estimation for the Development of Quantum Computing Applications

A Framework for the Design and Realization of Alternative Superconducting Quantum Architectures

Challenges for Quantum Software Engineering: An Industrial Application Scenario Perspective

Database and Expert Systems Applications - DEXA 2024 Workshops

Dynamic Time Warping for Phase Recognition in Tribological Sensor Data

How Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters

Knowledge Guided Clustering Medieval Polychromy

Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry

Multi-controlled Phase Gate Synthesis with ZX-calculus applied to Neutral Atom Hardware

NADA: NMF-based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-files

On the Solvability of the XOR Problem by Spiking Neural Networks

Risk Assessment in AI System Engineering: Experiences and Lessons Learned from a Practitioner’s Perspective

Stripping Quantum Decision Diagrams of their Identity

Supervised and penalized baseline correction

The Metamorphic Lighthouse: Understanding the Input Data Space of Metamorphic Relations

The MQT Handbook : A Summary of Design Automation Tools and Software for Quantum Computing

The Past, Present, and Future of Research on the Continuous Development of AI

Towards an Automatic Framework for Solving Optimization Problems with Quantum Computers

Towards Application-Aware Quantum Circuit Compilation

A Hierarchical Framework for Interpretable, Safe, and Specialized Deep Reinforcement Learning: Applications in Industrial Maintenance, Process Control, and Robotics

Der Begriff des "KI-Systems" unter der neuen KI-VO - Vorschlag eines "Drei-Faktor-Ansatzes" zur Beseitigung juristischer und technischer Ungereimtheiten

DQD: The Data Quality Definition Ontology

Exploring the Influence of Human System Interfaces: Introducing Support Tools and an Experimental Study

GlueZilla: Efficient and Scalable Software to Hardware Binding using Rowhammer

Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach

SNN Architecture for Differential Time Encoding Using Decoupled Processing Time

Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on Analysis and Error Bounds

XentricAI: A Gesture Sensing Calibration Approach Through Explainable and User-Centric AI

Getting QuantumReady: A Framework for Exploiting Quantum Computing in SMEs