Publikationen - scch.at

eknows: Platform for Multi-Language Reverse Engineering and Documentation Generation

Geist, V., Moser, M., Pichler, J., Santos, R. and Wieser, V., 2021. Leveraging machine learning for software redocumentation—A comprehensive comparison of methods in practice. Software: Practice and Experience, 51(4), pp.798-823.

Leveraging machine learning for software redocumentation—A comprehensive comparison of methods in practice.

Dorninger, B., Ziebermayr, T. Software-Qualitätssicherung im Maschinen- und Anlagenbau: automatisierte Bewertung der technischen Qualität von SPS-Code. Elektrotech. Inftech. 138, 315–320 (2021).

Software-Qualitätssicherung im Maschinen- und Anlagenbau: automatisierte Bewertung der technischen Qualität von SPS-Code

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

Automated test reuse for highly configurable software.

Stepwise abstraction of high-level system specifications from source code.

Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobiezky, F., Zellinger, W., Brunner, D., Kumar, M. and Moser, B., 2021. Ai system engineering—key challenges and lessons learned. Machine Learning and Knowledge Extraction, 3(1), pp.56-83.

AI System Engineering - Key Challenges and Lessons Learned.

W. Zellinger, N. Shepeleva, M.-C. Dinu, H. Eghbal-zadeh, H.D. Nguyen, B. Nessler, S.V. Pereverzyev, B.A. Moser. "The balancing principle for parameter choice in distance-regularized domain adaptation," Advances in neural Information Processing Systems 34 (NeurIPS 2021).

The balancing principle for parameter choice in distance-regularized domain adaptation

Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review

Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing

2022
Artificial intelligence algorithms reach expert-level accuracy in automated grading of blastocyst morphology assessment based on static embryo images and Gardner criteria

F Kromp, B Balaban, V Cottin, I. Cuevas Saiz, P Fancsovits, M Fawzy, N Findikli, B Kovacic, D Ljiljak, I. Martínez Rodero, L Parmegiani, O Shebl, R Wagner, M Xie, T Ebner, 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, Volume 37, Issue Supplement_1, July 2022, deac106.078, https://doi.org/10.1093/humrep/deac106.078
Graph-Based Managing and Mining of Processes and Data in the Domain of Intellectual Property

Gerd Hübscher, Verena Geist, Dagmar Auer, Andreas Ekelhart, Rudolf Mayer, Stefan Nadschläger, Josef Küng, Graph-based managing and mining of processes and data in the domain of intellectual property, Information Systems, Vol 106, May 2022.
Dual - and primal-constrained principal component analysis

Andries, Erik, and Ramin Nikzad‐Langerodi. "Dual‐Constrained and Primal‐Constrained Principal Component Analysis." Journal of Chemometrics (2022): e3403.
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. doi:10.1016/j.future.2021.11.022
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. doi:10.1016/j.eswa.2021.116025
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. doi:10.1002/smr.2410
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. doi:10.1016/j.knosys.2021.107609
The balancing principle for parameter choice in distance-regularized domain adaptation

W. Zellinger, N. Shepeleva, M.-C. Dinu, H. Eghbal-zadeh, H.D. Nguyen, B. Nessler, S.V. Pereverzyev, B.A. Moser. "The balancing principle for parameter choice in distance-regularized domain adaptation," Advances in neural Information Processing Systems 34 (NeurIPS 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

Holzer, G., Hobusch, G., Hansen, S., Fischer, L., & Patsch, J. (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 and related research. https://doi.org/10.1097/CORR.0000000000001842
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. doi:10.1049/sfw2.12051
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). doi:10.1002/cem.3373
A logic for reflective ASMs

Klaus-Dieter Schewe, Flavio Ferrarotti, Senén González, A logic for reflective ASMs, Science of Computer Programming, Volume 210, 2021.
Are standard sample measurements still needed to transfer multivariate calibration models between near-infrared spectrometers? The answer is not always

Puneet Mishra, Ramin Nikzad-Langerodi, Federico Marini, Jean Michel Roger, Alessandra Biancolillo, Douglas N. Rutledge, Santosh Lohumi, 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, Volume 143, 2021 https://doi.org/10.1016/j.trac.2021.116331
Crude Oil Futures Contracts and Commodity Markets: New Evidence from a TVP-VAR Extended Joint Connectedness Approach

Mehmet Balcilar, David Gabauer, Zaghum Umar, Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach, Resources Policy, Volume 73, October 2021
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). doi:10.1109/qce52317.2021.00018
Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools

Kiran Mainali, Lisa Ehrlinger, Johannes Himmelbauer, Mihhail Matskin: Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools, in Sandjai Bhulai, Ivana Semanjski, Les Sztandera: 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). doi:10.1109/icsme52107.2021.00057
Feature and Model Selection for Day-ahead Electricity-Load Forecasting in Residential Buildings

Aleksey V. Kychkin, Georgios C. Chasparis, "Feature and Model Selection for Day-ahead Electricity-Load Forecasting in Residential Buildings," Energy and Buildings, 2021, https://doi.org/10.1016/j.enbuild.2021.111200
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). doi:10.1109/qce52317.2021.00037
IGA using Offset-based Overlapping Domain Parameterizations

Somayeh Kargaran, Bert Jüttler and Thomas Takacs, IGA Using Offset-based Overlapping Domain Parameterizations, Computer-Aided Design, 2021, https://doi.org/10.1016/j.cad.2021.103087, https://www.sciencedirect.com/science/article/pii/S0010448521000981
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). doi:10.1109/indin45523.2021.9557482
Time-varying spillovers between housing sentiment and housing market in the United States

Andre, Christophe, David Gabauer, and Rangan Gupta. "Time-varying spillovers between housing sentiment and housing market in the United States☆." Finance Research Letters (2021): 101925.
A brief note on application of domain-invariant PLS for adapting near-infrared spectroscopy calibrations between different physical forms of samples

Puneet Mishra, Ramin Nikzad-Langerodi, A brief note on application of domain-invariant PLS for adapting near-infrared spectroscopy calibrations between different physical forms of samples, Talanta, Volume 232, 2021, 122461, ISSN 0039-9140, https://doi.org/10.1016/j.talanta.2021.122461.
Adopting Microservices for Industrial Control Systems: A Five Step Migration Path

Buchgeher, G., Ramler, R., Stummer, H., & Kaufmann, H. (2021). Adopting Microservices for Industrial Control Systems: A Five Step Migration Path. 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ). doi:10.1109/etfa45728.2021.9613622
Data Catalogs: A Systematic Literature Review and Steps to Implementation

Ehrlinger, L., Schrott, J., Melichar, M., Kirchmayr, N., & Wöß, W. (2021). Data Catalogs: A Systematic Literature Review and Guidelines to Implementation. Database and Expert Systems Applications - DEXA 2021 Workshops, 148–158. doi:10.1007/978-3-030-87101-7_15
Deep Learning Rule for Efficient ChangepointDetection in the Presence of non-linear Trends

Mahmoud S., Martinez-Gil J., Praher P., Freudenthaler B., Girkinger A. (2021) Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends. In: Kotsis G. et al. (eds) Database and Expert Systems Applications - DEXA 2021 Workshops. DEXA 2021. Communications in Computer and Information Science, vol 1479. Springer, Cham. https://doi.org/10.1007/978-3-030-87101-7_18
Filter-based Feature Selection Methods for Industrial Sensor Data: A Review

Luftensteiner, S., Mayr, M., & Chasparis, G. (2021). Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review. Lecture Notes in Computer Science, 242–249. doi:10.1007/978-3-030-86534-4_23
Interpretable entity meta-alignment in knowledge graphs using penalized regression: a case study in the biomedical domain

Martinez-Gil, J., Mokadem, R., Morvan, F., Küng, J., & Hameurlain, A. (2021). Interpretable entity meta-alignment in knowledge graphs using penalized regression: a case study in the biomedical domain. Progress in Artificial Intelligence. doi:10.1007/s13748-021-00263-1
Knowledge Graph Embeddings for News Article Tag Recommendation

Nora Engleitner, Werner Kreiner, Nicole Schwarz, Theodorich Kopetzky, Lisa Ehrlinger: Knowledge Graph Embeddings for News Article Tag Recommendation, in Ilaria Tiddi, Maria Maleshkova, Tassilo Pellegrini, Victor de Boer: Joint Proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins, CEUR Workshop Proceedings, Vol. 2941, Sun SITE Central Europe, Aachen, 9-2021.
Least resolved trees for two-colored best match graphs

Schaller, D., Geiß, M., Hellmuth, M., & Stadler, P. F. (2021). Least resolved trees for two-colored best match graphs. Journal of Graph Algorithms and Applications, 25(1), 397–416. doi:10.7155/jgaa.00564
Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder

Kumar, M., Moser, B., Fischer, L., & Freudenthaler, B. (2021). Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder. Database and Expert Systems Applications - DEXA 2021 Workshops, 138–147. doi:10.1007/978-3-030-87101-7_14
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization

Kumar M., Moser B., Fischer L., Freudenthaler B. (2021) Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization. In: Kotsis G. et al. (eds) Database and Expert Systems Applications - DEXA 2021 Workshops. DEXA 2021. Communications in Computer and Information Science, vol 1479. Springer, Cham. https://doi.org/10.1007/978-3-030-87101-7_13
Methods for Automatic Machine-Learning Workflow Analysis

Wendlinger, L., Berndl, E., & Granitzer, M. (2021). Methods for Automatic Machine-Learning Workflow Analysis. Lecture Notes in Computer Science, 52–67. doi:10.1007/978-3-030-86517-7_4
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. doi:10.1145/3477206.3477451
Quantum k-community detection: Algorithm proposals and cross-architectural evaluation

Gemeinhardt, F. G., Wille, R., & Wimmer, M. (2021). Quantum k-community detection: algorithm proposals and cross-architectural evaluation. Quantum Information Processing, 20(9). doi:10.1007/s11128-021-03239-1
Representation and Presentation of Knowledge and Processes - An Integrated Approach for a Dynamic Communication-intensive Environment

Hübscher, G., Geist, V., Auer, D., Hübscher, N. and Küng, J. (2021), "Representation and presentation of knowledge and processes – an integrated approach for a dynamic communication-intensive environment", International Journal of Web Information Systems, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJWIS-03-2021-0031
Robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis

Lunglmayr, M., Lindorfer, G., & Moser, B. (2021). Robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis. Database and Expert Systems Applications - DEXA 2021 Workshops, 119–126. doi:10.1007/978-3-030-87101-7_12
Task-specific Automation in Deep Learning Processes

Buchgeher, G., Czech, G., Ribeiro, A. S., Kloihofer, W., Meloni, P., Busia, P., … Portela, M. (2021). Task-Specific Automation in Deep Learning Processes. Database and Expert Systems Applications - DEXA 2021 Workshops, 159–169. doi:10.1007/978-3-030-87101-7_16
Towards a Stochastic Drift Simulation Model for Graphene-Based Gas Sensors

Schober, S. A., Carbonelli, C., Roth, A., Zoepfl, A., Travan, C., & Wille, R. (2021). Towards a Stochastic Drift Simulation Model for Graphene-Based Gas Sensors. IEEE Sensors Journal, 1–1. doi:10.1109/jsen.2021.3114103
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. (2021). Accurate and Robust Malware Detection: Running XGBoost on Run-Time Data from Performance Counters. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1–1. doi:10.1109/tcad.2021.3102007
Descriptive Complexity of Deterministic Polylogarithmic Time and Space

F. Ferrarotti, S. Gonzalez, J. M. Turull Torres, J. Van den Bussche, J. Virtema. Descriptive Complexity of Deterministic Polylogarithmic Time and Space, Journal of Computer and System Sciences, Vol.119, pp. 145--163, 2021. https://doi.org/10.1016/j.jcss.2021.02.003
Heuristic Algorithms for Best Match Graph Editing

Schaller, D., Geiß, M., Hellmuth, M. et al. Heuristic algorithms for best match graph editing. Algorithms Mol Biol 16, 19 (2021). https://doi.org/10.1186/s13015-021-00196-3
Integrating Usage Monitoring for Continuous Evaluation and Testing in the UI of an Industry Application

A-TEST 2021: Proceedings of the 12th International Workshop on Automating TEST Case Design, Selection, and EvaluationAugust 2021 Pages 25–32https://doi.org/10.1145/3472672.3473955
Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging

Lazic, D.; Kromp, F.; Rifatbegovic, F.; Repiscak, P.; Kirr, M.; Mivalt, F.; Halbritter, F.; Bernkopf, M.; Bileck, A.; Ussowicz, M.; Ambros, I.M.; Ambros, P.F.; Gerner, C.; Ladenstein, R.; Ostalecki, C.; Taschner-Mandl, S. Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging. Cancers 2021, 13, 4311. https://doi.org/10.3390/cancers13174311
Missing Data Pattern: From Theory to an Application in the Steel Industry

Bechny, Sobieczky, F., Zeindl, J., & Ehrlinger, L. (2021). Missing Data Patterns: From Theory to an Application in the Steel Industry. 33rd International Conference on Scientific and Statistical Database Management. https://doi.org/10.1145/3468791.3468841
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. and 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), p.1048.
Software-Qualitätssicherung im Maschinen- und Anlagenbau: automatisierte Bewertung der technischen Qualität von SPS Code

Dorninger, B., Ziebermayr, T. Software-Qualitätssicherung im Maschinen- und Anlagenbau: automatisierte Bewertung der technischen Qualität von SPS-Code. Elektrotech. Inftech. (2021). https://doi.org/10.1007/s00502-021-00917-x
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. https://doi.org/10.3897/jucs.70972
As Accurate as Needed, as Efficient as Possible: Approximations in DD-based Quantum Circuit Simulation

S. Hillmich, R. Kueng, I. L. Markov and R. Wille, "As Accurate as Needed, as Efficient as Possible: Approximations in DD-based Quantum Circuit Simulation," 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, pp. 188-193, doi: 10.23919/DATE51398.2021.9474034.
DQ-MeeRKat: Automating Data Quality Monitoring with a Reference-Data-Profile-Annotated Knowledge Graph

Ehrlinger, L., Gindlhumer, A., Huber, L.-M., & Wöß, W. (2021). DQ-MeeRKat: Automating Data Quality Monitoring with a Reference-Data-Profile-Annotated Knowledge Graph. Proceedings of the 10th International Conference on Data Science, Technology and Applications. doi:10.5220/0010546202150222
Evaluation of Deep Learning architectures for complex immunofluorescence nuclear image segmentation

F. Kromp et al., "Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation," in IEEE Transactions on Medical Imaging, vol. 40, no. 7, pp. 1934-1949, July 2021, doi: 10.1109/TMI.2021.3069558.
Exact Physical Design of Quantum Circuits for Ion-Trap-based Quantum Architectures

O. Keszocze, N. Mohammadzadeh and R. Wille, "Exact Physical Design of Quantum Circuits for Ion-Trap-based Quantum Architectures," 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, pp. 344-349, doi: 10.23919/DATE51398.2021.9474188.
Generic Sample Preparation for Different Microfluidic Platforms

S. Poddar, G. Fink, W. Haselmayr and R. Wille, "Generic Sample Preparation for Different Microfluidic Platforms," 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, pp. 336-339, doi: 10.23919/DATE51398.2021.9474059.
On the truncated Hausdorff moment problem under Sobolev regularity conditions

Zellinger, Werner, and Bernhard A. Moser. "On the truncated Hausdorff moment problem under Sobolev regularity conditions." Applied Mathematics and Computation 400 (2021): 126057.
Stochastic Quantum Circuit Simulation Using Decision Diagrams

T. Grurl, R. Kueng, J. Fuß and R. Wille, "Stochastic Quantum Circuit Simulation Using Decision Diagrams," 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, pp. 194-199, doi: 10.23919/DATE51398.2021.9474135.
Towards Automatic Design and Verification for Level 3 of the European Train Control System

R. Wille, T. Peham, J. Przigoda and N. Przigoda, "Towards Automatic Design and Verification for Level 3 of the European Train Control System," 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, pp. 974-979, doi: 10.23919/DATE51398.2021.9473935.
Visualizing Decision Diagrams for Quantum Computing

R. Wille, L. Burgholzer and M. Artner, "Visualizing Decision Diagrams for Quantum Computing (Special Session Summary)," 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, pp. 768-773, doi: 10.23919/DATE51398.2021.9474236.
ASM Specification and Refinement of a Quantum Algorithm

Flavio Ferrarotti and Sénen González: ASM Specification and Refinement of a Quantum Algorithm. A. Raschke et al. (Eds.): Börger Festschrift, LNCS 12750, pp. 1–12, 2021. https://doi.org/10.1007/978-3-030-76020-5_8
AVUBDI: A Versatile Usable Big Data Infrastructure and its Monitoring Approaches for Process Industry

Luftensteiner, Sabrina, Michael Mayr, Georgios Chasparis, and Mario Pichler. "AVUBDI: A Versatile Usable Big Data Infrastructure and its Monitoring Approaches for Process Industry." Frontiers in Chemical Engineering 3 (2021): 24.
Considerations for using Block-Based Languages for Industrial Robot Programming - a Case Study

Mayr-Dorn, Christoph, Mario Winterer, Christian Salomon, Doris Hohensinger, and Rudolf Ramler. "Considerations for using Block-Based Languages for Industrial Robot Programming-a Case Study." In 2021 IEEE/ACM 3rd International Workshop on Robotics Software Engineering (RoSE), pp. 5-12. IEEE, 2021.
Dynamic Connectedness And Spillovers Across Sectors: Evidence From The Indian Stock Market

Chatziantoniou, I., Gabauer, D., & Marfatia, H. A. (2020). Dynamic Connectedness And Spillovers Across Sectors: Evidence From The Indian Stock Market. Scottish Journal of Political Economy.
Dynamic Measures of Asymmetric & Pairwise Spillovers within an Optimal Currency Area: Evidence from the ERM I System

Gabauer, David. "Dynamic measures of asymmetric & pairwise connectedness within an optimal currency area: Evidence from the ERM I system." Journal of Multinational Financial Management 60 (2021): 100680.
Efficient Construction of Functional Representations for Quantum Algorithms

Burgholzer, L., Raymond, R., Sengupta, I., & Wille, R. (2021). Efficient Construction of Functional Representations for Quantum Algorithms. Lecture Notes in Computer Science, 227–241. doi:10.1007/978-3-030-79837-6_14
Extended Authorization Policy for Graph-Structured Data

Mohamed, A., Auer, D., Hofer, D. et al. Extended Authorization Policy for Graph-Structured Data. SN COMPUT. SCI. 2, 351 (2021). https://doi.org/10.1007/s42979-021-00684-8
GraphifyEvolution - A Modular Approach to Analysing Source Code Histories

K. Rahkema and D. Pfahl, "GraphifyEvolution - A Modular Approach to Analysing Source Code Histories," in 2021 2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems (MobileSoft) (MobileSoft), undefined, undefined, undefined, 2021 pp. 24-27. doi: 10.1109/MobileSoft52590.2021.00009
QCL-based mid-infrared hyperspectral imaging of multilayer polymer oxygen barrier-films

Robert Zimmerleiter, Ramin Nikzad-Langerodi, Cyril Ruckebusch, Matthias Godejohann, Jakob Kilgus, Kristina Duswald, Markus Brandstetter, QCL-based mid-infrared hyperspectral imaging of multilayer polymer oxygen barrier-films, Polymer Testing,Volume 98, 2021,107190, ISSN 0142-9418, https://doi.org/10.1016/j.polymertesting.2021.107190.
Volatility connectedness of major cryptocurrencies: The role of investor happiness

Bouri, Elie, David Gabauer, Rangan Gupta, and Aviral Kumar Tiwari. "Volatility connectedness of major cryptocurrencies: The role of investor happiness." Journal of Behavioral and Experimental Finance 30 (2021): 100463.
A Case Study on the Evolution of Configuration Options of a Highly-Configurable Software System

Fischer, Stefan. "A Case Study on the Evolution of Configuration Options of a Highly-Configurable Software System." In 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 630-635. IEEE, 2021.
Best Match Graphs with Binary Trees

Schaller D., Geiß M., Hellmuth M., Stadler P.F. (2021) Best Match Graphs with Binary Trees. In: Martín-Vide C., Vega-Rodríguez M.A., Wheeler T. (eds) Algorithms for Computational Biology. AlCoB 2021. Lecture Notes in Computer Science, vol 12715. Springer, Cham. https://doi.org/10.1007/978-3-030-74432-8_6
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

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

Alyaev, Sergey, Mostafa Shahriari, David Pardo, Ángel Javier Omella, David Selvåg Larsen, Nazanin Jahani, and Erich Suter. "Modeling extra-deep electromagnetic logs using a deep neural network." Geophysics 86, no. 3 (2021): E269-E281.
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. Engineering Proceedings, 6(1), 88. doi:10.3390/i3s2021dresden-10094
Visualization of Multi-Level Data Quality Dimensions with QuaIIe

Sheny Illescas Martinez, Lisa Ehrlinger, Wolfram Wöß, "Visualization of Multi-Level Data Quality Dimensions with QuaIIe" , in Malcolm Crowe, Fritz Laux, Andreas Schmidt, Cosmin Dini: DBKDA 2021, The Thirteenth International Conference on Advances in Databases, Knowledge, and Data Applications, International Academy, Research, and Industry Association, Seite(n) 15-20, 5-2021, ISBN: 978-1-61208-857-0
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 RW, 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. https://doi.org/10.1371/journal.pone.0249918
Adaptive Sparse Cyclic Coordinate Descent for Sparse Frequency Estimation

Garcia Guzman, & Lunglmayr, M. (2021). Adaptive Sparse Cyclic Coordinate Descent for Sparse Frequency Estimation. Signals, 2(2), 189–200. https://doi.org/10.3390/signals2020015
Efficient One-Pass Synthesis for Digital Microfluidic Biochips

N. Mohammadzadeh, R. Wille, and O. Keszocze. Efficient One-Pass Synthesis for Digital Microfluidic Biochips. Transactions on Design Automation of Electronic Systems (TODAES), 2021.
Financial market connectedness: The role of investors' happiness

Bouri, E., Demirer, R., Gabauer, D., & Gupta, R. (2021) Financial market connectedness: The role of investors' happiness. Finance Research Letters. pages 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. Int. J. Approx. Reason., 131, 1-29, DOI 10.1016/j.ijar.2020.12.021, April 2021.
Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review

G. Buchgeher, D. Gabauer, J. Martinez-Gil and L. Ehrlinger, "Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review," in IEEE Access, vol. 9, pp. 55537-55554, 2021, doi: 10.1109/ACCESS.2021.3070395.
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Demirer, Riza, David Gabauer, Rangan Gupta, and Qiang Ji. "Monetary policy and speculative spillovers in financial markets." Research in International Business and Finance 56 (2021): 101373.
SMT-Based Placement for System-on-Chip Design

S. Pointner, S. Wenzek and R. Wille, "SMT-Based Placement for System-on-Chip Design," 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021, pp. 1-5, doi: 10.1109/ISCAS51556.2021.9401608.
A closer look into the global determinants of oil price volatility

Chatziantoniou, Ioannis, Michail Filippidis, George Filis, and David Gabauer. "A closer look into the global determinants of oil price volatility." Energy Economics 95 (2021): 105092.
Arc-Completion of 2-Colored Best Match Graphs to Binary-Explainable

Schaller, D.; Geiß, M.; Hellmuth, M.; Stadler, P.F. Arc-Completion of 2-Colored Best Match Graphs to Binary-Explainable Best Match Graphs. Algorithms 2021, 14, 110. https://doi.org/10.3390/a14040110
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. High Cortico-Trabecular Transitional Zone Porosity and Reduced Trabecular Density in Men and Women with Stress Fractures. J. Clin. Med. 2021, 10, 1123. https://doi.org/10.3390/jcm10051123
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. e2340. https://doi.org/10.1002/smr.2340
A Hybrid Feature Location Technique for Re-Engineering Single Systems into Software Product Lines

G. K. Michelon, L. Linsbauer, W. K. G. Assunção, S. Fischer, A. Egyed: A Hybrid Feature Location Technique for Re-engineeringSingle Systems into Software Product Lines. VaMoS 2021: 11:1-11:9
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). DOI: 10.18420/SE2021_08
Beyond Federated Learning: On Confidentiality-Critical Machine Learning Applications in Industry

Werner Zellinger, Volkmar Wieser, Mohit Kumar, David Brunner, Natalia Shepeleva, Rafa Gálvez, Josef Langer, Lukas Fischer, Bernhard Moser, "Beyond Federated Learning: On Confidentiality-Critical Machine Learning Applications in Industry," ISM 2020 - International Conference on Industry 4.0 and Smart Manufacturing, Hagenberg, Austria, November 23-25, 2020.
Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs

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DaQL 2.0: Measure Data Quality based on Entity Models

C. Lettner, R. Stumptner, W. Fragner, F. Rauchenzauner, "DaQL 2.0: Measure data quality based on entity models" ISM 2020 - International Conference on Industry 4.0 and Smart Manufacturing, Hagenberg, Austria, November 23-25, 2020. https://doi.org/10.1016/j.procs.2021.01.327
Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression

S. Mahmoud, F. Sobieczky, J. Martinez-Gil, P. Praher, B. Freudenthaler, Decay-parameter diagnosis in industrial domains by robustness through isotonic regression, Procedia Computer Science, Volume 180, Pages 466-475, https://doi.org/10.1016/j.procs.2021.01.263
EMU risk-synchronisation and financial fragility through the prism of dynamic connectedness

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

S. Neugebauer, L. Rippitscha, F. Sobieczky, M. Geiß, Explainability of AI-predictions based on psychological profiling, Procedia Computer Science, Volume 180, Pages 1003-1012, https://doi.org/10.1016/j.procs.2021.01.361.
Explaining a random forest with the difference of two Arima models in an industrial fault detection scenario

A.-C. Glock, Explaining a random forest with the difference of two Arima models in an industrial fault detection scenario, Procedia Computer Science, Volume 180, Pages 476-481, https://doi.org/10.1016/j.procs.2021.01.360
Performance Aspects of Correctness-oriented Synthesis Flows

Bornebusch, F.; Lüth, C.; Wille, R. and Drechsler, R. (2021). Performance Aspects of Correctness-oriented Synthesis Flows. In Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - MODELSWARD, pages 76-86. DOI: 10.5220/0010235100760086
Protecting Intellectual Property Rights of Industrial Software

Thomas Ziebermayr, Protecting Intellectual Property Rights of Industrial Software, Procedia Computer Science, Volume 180, Pages 862-866, https://doi.org/10.1016/j.procs.2021.01.336
QCEC: A JKQ Tool for Quantum Circuit Equivalence Checking

L. Burgholzer and R. Wille. QCEC: A JKQ Tool for Quantum Circuit Equivalence Checking. Software Impacts, 2021.
Testing of Highly Configurable Cyber-Physical Systems – A Multiple Case Study

S. Fischer, R. Ramler, C. Klammer, R. Rabiser: Testing of Highly Configurable Cyber-Physical Systems - A Multiple Case Study. VaMoS 2021: 19:1-19:10
Time-Varying Predictability of Labor Productivity on Inequality in United Kingdom

Gabauer, David, Rangan Gupta, Jacobus Nel, and Woraphon Yamaka. "Time-Varying Predictability of Labor Productivity on Inequality in United Kingdom." Social Indicators Research 155, no. 3 (2021): 771-788.
Accurate and Efficient Simulation of Microfluidic Networks

G. Fink, P. Ebner, M. Hamidovic, W. Haselmayr, and R. Wille. Accurate and Efficient Simulation of Microfluidic Networks. In Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
Exploiting Quantum Teleportation in Quantum Circuit Mapping

S. Hillmich, A. Zulehner, and R. Wille. Exploiting Quantum Teleportation in Quantum Circuit Mapping. In Asia and South Pacific Design Automation Conference (ASP-DAC), 2021.
One-Pass Synthesis for Field-coupled Nanocomputing Technologies

M. Walter, W. Haaswijk, R. Wille F. Sill Torres, and R. Drechsler. One-Pass Synthesis for Field-coupled Nanocomputing Technologies. In Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
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). In: Winkler D., Biffl S., Mendez D., Wimmer M., Bergsmann J. (eds) Software Quality: Future Perspectives on Software Engineering Quality. SWQD 2021. Lecture Notes in Business Information Processing, vol 404. Springer, Cham. https://doi.org/10.1007/978-3-030-65854-0_3
Random Stimuli Generation for the Verification of Quantum Circuits

Burgholzer, R. Kueng, and R. Wille. Random Stimuli Generation for the Verification of Quantum Circuits. In Asia and South Pacific Design Automation Conference (ASP-DAC), 2021.
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. doi:10.1007/978-3-030-65854-0_2
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A novel method based on symbolic regression for interpretable semantic similarity measurement

Expert Systems with Applications, volume 160, DOI 10.1016/j.eswa.2020.113663, December 2020.
AI System Engineering - Key Challenges and Lessons Learned

L. Fischer, L. Ehrlinger, V. Geist, R. Ramler, F. Sobiezky, W. Zellinger, D. Brunner, M. Kumar, B. Moser. AI System Engineering - Key Challenges and Lessons Learned. Machine Learning & Knowledge Extraction, volume 3, number 1, pages 56-83, DOI: 10.3390/make3010004, December, 2020.
Comparison of Code Smells in iOS and Android Applications

In H. Lichter, S. Aydin, T. Sunetnanta, T. Anwar (editors), Proceedings of the 8th International Workshop on Quantitative Approaches to Software Quality co-located with 27th Asia-Pacific Software Engineering Conference (APSEC 2020), pages 79-86, ceur-ws.org, December 2020.
Domain adaptation for regression under Beer–Lambert’s law

Knowledge-Based Systems, volume 210, DOI 10.1016/j.knosys.2020.106447, December 2020.
Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit

Infrared Physics & Technology, online first, DOI 10.1016/j.infrared.2020.103547, October 2020.
Using Rule Mining for Automatic Test Oracle Generation

In H. Lichter, S. Aydin, T. Sunetnanta, T. Anwar (editors), 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

In MLCAD '20: Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, pages 157-162, DOI 10.1145/3380446.3430631, ACM, November 2020.
Considering decoherence errors in the simulation of quantum circuits using decision diagrams

In Proceedings of the 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), pages 1-7, IEEE, November 2020.
Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning

MLCAD '20: Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CADNovember 2020 Pages 37–42https://doi.org/10.1145/3380446.3430619
Current perspectives on the software engineering process (Editorial)

Journal of Software: Evolution and Process, online first, DOI 10.1002/smr.2313, September 2020.
Error control and loss functions for the deep learning inversion of borehole resistivity measurements

International Journal for Numerical Methods in Engineering, online first, DOI 10.1002/nme.6593, November 2020.
Graph‐based calibration transfer

Journal of Chemometrics, volume e3319, DOI 10.1002/cem.3319, November 2020.
JKQ: JKU tools for quantum computing

In Proceedings of the 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), pages 1-5, IEEE, November 2020.
Leveraging machine learning for software redocumentation – A eomprehensive comparison of methods in practice

Journal of Software: Practice and Experience, online first, DOI 10.1002/spe.2933, November 2020. Journal of Software: Practice and Experience, volume 51, number 4, pages 798-823, DOI 10.1002/spe.2933, April 2021.
On generalization in moment-based domain adaptation

Annals of Mathematics and Artificial Intelligence, online first, DOI 10.1007/s10472-020-09719-x, November 2020.
Verifying results of the IBM Qiskit quantum circuit compilation flow

In Proceedings of the IEEE International Conference on Quantum Computing and Engineering (QCE2020), pages 356-365, DOI 10.1109/QCE49297.2020.00051, IEEE, October 2020.
Advanced Equivalence Checking for Quantum Circuits

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

In Proceedings of the 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pages 1231-1234, IEEE, September 2020.
An explainable fuzzy theoretic nonparametric deep model for stress assessment using heartbeat intervals analysis

IEEE Transactions on Fuzzy Systems, online first, DOI 10.1109/TFUZZ.2020.3029284, October 2020.
Exploring the Potential Benefits of Alternative Quantum Computing Architectures

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

International Journal of Computer Vision, DOI 10.1007/s11263-020-01385-0, October 2020.
Towards drift modeling of graphene-based gas sensors using stochastic simulation techniques

In Proceedings of the IEEE Sensors 2020, pages 1-4, DOI 10.1109/SENSORS47125.2020.9278754, IEEE, October 2020.
Towards optimal assembly line order sequencing with reinforcement learning: A case study

In Proceedings of the 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pages 982-989 IEEE, September 2020.
(Semi)automatic translation of legal regulations to formal representations: Expanding the horizon of EDA applications

In M. Soeken and R. Drechsler (editors), Natural Language Processing for Electronic Design Automation, pages 1-11, DOI 10.1007/978-3-030-52273-5, Springer, 2020.
A scoring algorithm for abnormal passenger behavior in border-crossing areas

In H. Bouma, R.a Prabhu, R. J. Stokes, Y. Yitzhaky (editors), Proceedings SPIE, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV; volume 11542, pages 1154206, DOI 10.1117/12.2573963, October 2020.
An architecture for automated security test case generation for MQTT systems

In Kotsis G. et al. (editors), DEXA 2020: Database and Expert Systems Applications, Communications in Computer and Information Science, volume 1285, pages 48-62, DOI 10.1007/978-3-030-59028-4_5, Springer, September 2020.
Big Data Analytics and Knowledge Discovery. 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceeding

Lecture Notes in Computer Science, volume 12393, DOI 10.1007/978-3-030-59065-9, Springer, September 2020.
Cost estimation for configurable model-driven SoC designs using machine learning

In GLSVLSI '20: Proceedings of the 2020 on Great Lakes Symposium on VLSI, pages 405-410, DOI 10.1145/3386263.3406950, ACM, September 2020.
Database and Expert Systems Applications DEXA 2020 International Workshops BIOKDD, IWCFS and MLKgraphs, Bratislava, Slovakia, September 14–17, 2020, Proceedings

Communications in Computer and Information Science, volume 1285, DOI 10.1007/978-3-030-59028-4, Springer, September 2020.
Detecting anomalies in production quality data using a method based on The Chi-Square Test Statistic

In Song M., Song IY., Kotsis G., Tjoa A.M., Khalil I. (editors), DaWaK 2020: Big Data Analytics and Knowledge Discovery, Lecture Notes in Computer Science, volume 12393, pages 348-363, DOI 10.1007/978-3-030-59065-9_27, Springer, September 2020.
Exploiting MQTT-SN for distributed reflection denial-of-service attacks

In Kotsis G. et al. (editors), DEXA 2020: Database and Expert Systems Applications, Communications in Computer and Information Science, volume 1285, pages 74-81, DOI 10.1007/978-3-030-59028-4_7, Springer, September 2020.
Framework for data analysis in the context of the smart villages

In Kő A., Francesconi E., Kotsis G., Tjoa A., Khalil I. (editors), EGOVIS 2020: Electronic Government and the Information Systems Perspective, Lecture Notes in Computer Science, volume 12394, pages 31-45, DOI 10.1007/978-3-030-58957-8_3, Springer, September 2020.
Oil and asset classes implied volatilities: Investment strategies and hedging effectiveness

Energy Economics, online first, DOI 10.1016/j.eneco.2020.104762, July 2020.
Variational optimization of informational privacy

In Kotsis G. et al. (editors), DEXA 2020: Database and Expert Systems Applications, Communications in Computer and Information Science, volume 1285, pages 32-47, DOI 10.1007/978-3-030-59028-4_4, Springer, September 2020.
YASSi: Yet Another Symbolic Simulator Large (Tool Demo)

In Kotsis G. et al. (editors), DEXA 2020: Database and Expert Systems Applications, Communications in Computer and Information Science, volume 1285, pages 25-31, DOI 10.1007/978-3-030-59028-4_3, Springer, September 2020.
A semi-supervised approach for network intrusion detection

In ARES'20: Proccedings of the 15th International Conference on Availability, Reliability and Security, article 93, pages 1-6, DOI 10.1145/3407023.3407073, ACM, August 2020.
Advanced exact synthesis of Clifford+T Circuits

Quantum Information Processing, volume 19, article number 317, DOI 10.1007/s11128-020-02816-0, August 2020.
An annotated fluorescence image dataset for training nuclear segmentation methods

Scientific Data, volume 7, number 262, DOI 10.1038/s41597-020-00608-w, August 2020.
Applying AI in practice: Key challenges and lessons learned

In A. Holzinger, P. Kieseberg, A. Tjoa, E. Weippl (editors), Machine Learning and Knowledge Extraction. CD-MAKE 2020. Lecture Notes in Computer Science, volume 12279. pages 451-471, DOI 10.1007/978-3-030-57321-8_25, Springer, August 2020.
Automated security test generation for MQTT using attack patterns

In ARES'20: Proccedings of the 15th International Conference on Availability, Reliability and Security, article 97, pages 1-9, DOI 10.1145/3407023.3407078, ACM, August 2020.
Predicting survived and killed mutants

In Proceedings of the 2020 IEEE 13th International Conference on Software Testing, Verification and Validation Workshops (ICSTW 2020), pages 274-283, DOI 10.1109/ICSTW50294.2020.00053, IEEE, October 2020.
ToPoliNano and fiction: Design tools for field-coupled nanocomputing

In Proceedings of the 2020 23rd Euromicro Conference on Digital System Design (DSD), pages 408-415, DOI 10.1109/DSD51259.2020.00071, IEEE, October 2020.
Bail on balancing: An alternative approach to the physical design of field-coupled nanocomputing circuits

In Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2020), pages 66-71, DOI 10.1109/ISVLSI49217.2020.00022, IEEE, August 2020.
Differentially private learning of distributed deep models

In UMAP '20 Adjunct: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, pages 193-200, DOI 10.1145/3386392.3399562, ACM, July 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

Logic Journal of the IGPL, volume 28, number 3, pages 389-412, DOI 10.1093/jigpal/jzz078, June 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.
Künstliche Intelligenz auf Edge-Geräten

Bachelor Thesis, FH OÖ, Fachhochschul-Bachelorstudiengang Hardware-Software-Design, Juni 2020.
End-to-end testing by combining scenarios from behavior-driven development

Bachelor Thesis, FH OÖ, Fachhochschul-Bachelorstudiengang Software Engineering, Mai 2020.
Kornia: an open source differentiable computer vision library for PyTorch

In Proceedings of the 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), pages 3674-3683, DOI 10.1109/WACV45572.2020.9093363, May 2020.
Saddle: Fast and repeatable features with good coverage

Image and Vision Computing, online first, DOI 10.1016/j.imavis.2019.08.011, Elsevier, September 2019.
Scenario based approach in Connecting Austria for the development and validation of connect, cooperative, (semi-)automated driving in the case of intersections

In Toni Lusikka (editor), TRA 2020: Proceedings of the 8th Transport Research Arena, pages 200-201, Finnish Transport and Communications Agency Traficom, May 2020.
A data transformation for the estimation of decay types of multivariate distributions

Procedia Manufacturing, volume 42, pages 524-527, DOI 10.1016/j.promfg.2020.02.038, March 2020.
A deep learning approach to the inversion of borehole resistivity measurements

Computational Geosciences, DOI 10.1007/s10596-019-09859-y, April 2020.
A deep neural network as surrogate model for forward simulation of borehole resistivity measurements

Procedia Manufacturing, volume 42, pages 235-238, DOI 10.1016/j.promfg.2020.02.075, March 2020.
Adversarial robustness in data augmentation

Published as a workshop presenation at ICLR 2020 Workshop Towards Trustworthy ML: Rethinking Security and Privacy for ML, Addis Ababa, Ethiopia, April 26, 2020 collocated with ICLR 2020 - 8th International Conference on Learning Representations, Addis Ababa, Ethiopia, April 26-30, 2020.
An early investigation of unit testing practices of component-based software systems

In M. Pinzger, R. Ramler (editors), Proceedings of the 2020 IEEE 3rd International Workshop on Validation, Analysis, and Evolution of Software Tests (VST'20), pages 12-15, IEEE, February 2020.
An empirical evaluation for object initialization of member variables in unit testing

In M. Pinzger, R. Ramler (editors), Proceedings of the 2020 IEEE 3rd International Workshop on Validation, Analysis, and Evolution of Software Tests (VST'20), pages 8-11, IEEE, February 2020.
An integrated approach for power transformer modeling and manufacturing

Procedia Manufacturing, volume 42, pages 351-355, DOI 10.1016/j.promfg.2020.02.076, March 2020.
Clustering: Mvtrans

Technical Report, number SCCH-TR-20029, Software Competence Center Hagenberg GmbH, April 2020.
Enhancing industrial maintenance through intelligent data analysis

In R. Moreno-Díaz, F. Pichler, A. Quesada-Arencibia (editors), Computer Aided Systems Theory – Proc. EUROCAST 2019, Part II, Lecture Notes in Computer Science, volume 12014, pages 469-476, DOI 10.1007/978-3-030-45096-0_57, Springer, April 2020.
From pairs of most similar sequences to phylogenetic best matches

Algorithms for Molecular Biology 15, 5, DOI 10.1186/s13015-020-00165-2, April 2020
General model for tracking manufacturing products using graph databases

In P. Ceravolo, M. van Keulen, M. Gómez-López (editors), Data-Driven Process Discovery and Analysis - Proc. SIMPDA 2018, SIMPDA 2019, Lecture Notes in Business Information Processing, volume 379, pages 86-100, DOI 10.1007/978-3-030-46633-6_5, Springer, April 2020.
Leveraging machine learning for software redocumentation

In K. Kontogiannis, F. Khomh, A. Chatzigeorgiou, M.-E. Fokaefs, M. Zhou (editors), Proceedings of the 2020 IEEE 27th International Conference on Software Analysis, Evolution, and Reengineering (SANER'20), pages 622-626, IEEE, February 2020.
Live replay of screen videos: Automatically executing real applications as shown in recordings

In K. Kontogiannis, F. Khomh, A. Chatzigeorgiou, M.- E. Fokaefs, M. Zhou (editors), Proceedings of the 2020 IEEE 27th International Conference on Software Analysis, Evolution, and Reengineering (SANER'20), pages 664-665, IEEE, February 2020.
Machine learning techniques for intrusion detection in network security

Master thesis, Johannes Kepler University Linz, Master's Program Statistics, April 2020.
Predictive Maintenance - Grundvoraussetzungen, Schritte und Möglichkeiten aus Data Analytics Sicht

In A. Dankl, J. Isopp (editors), 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

In M. Crowe, L. Ehrlinger, F. Laux, A. Schmidt (editors), 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

In M. Pinzger, R. Ramler (editors), Proceedings of the 2020 IEEE 3rd International Workshop on Validation, Analysis, and Evolution of Software Tests (VST'20), pages 24-27, IEEE, February 2020.
Unimodularity of network representations of time-series for unbiased parameter estimation

In R. Moreno-Díaz, F. Pichler, A. Quesada-Arencibia (editors), Computer Aided Systems Theory – Proc. EUROCAST 2019, Part I, Lecture Notes in Computer Science, volume 12013, pages 167-175, DOI 10.1007/978-3-030-45093-9_21, Springer, April 2020.
Using rule mining for automatic test oracle generation

Master thesis, University of Tartu, Computer Science Curriculum, April 2020.
Addressing evolving requirements faced by the software industry

Special Issue: Addressing Evolving Reqirements Faced by the Software Industry. Journal of Software-Evolution and Process. e2237. Volume 32, number 3, pages 1-3, DOI 10.1002/smr.2237, March 2020.
Automated internationalization andlocalization testing of GUIs

Master Thesis, Johannes Kepler University Linz, Intelligent Information Systems, March 2020.
Biclustering for detction of industrial specific missing data patterns

Master thesis, Johannes Kepler University Linz, Master's Program Statistics, March 2020.
Borehole resistivity simulations of oil-water transition zones with a 1.5D numerical solver

Computational Geosciences, DOI 10.1007/s10596-020-09946-5, March 2020.
Special Issue: Addressing Evolving Requirements Faced by the Software Industry

Issue Information. (2020). Journal of Software: Evolution and Process, 32(3). doi:10.1002/smr.2187
To index or not to index: Time–space trade-offs for positional ranking functions in search engines

Information Systems, volume 89, aticle 101466, DOI 10.1016/j.is.2019.101466, March 2020.
A framework for factory-trained virtual sensor models based on censored production data

In Hartmann S., Küng J., Kotsis G., Tjoa A.M., Khalil I. (editors), DEXA 2020: Database and Expert Systems Applications, Part II, Lecture Notes in Computer Science, volume 12392, pages 3-16, DOI 10.1007/978-3-030-59051-2_1, Springer, September 2020.
An optimal (∊,δ)-differentially private learning of distributed deep fuzzy model

Information Services, online first, DOI 10.1016/j.ins.2020.07.044, August 2020.
Automated test reuse for highly conﬁgurable software

Empirical Software Engineering, volume 25, number 6, pages 5295-5332, DOI 10.1007/s10664-020-09884-x, November 2020.
Domain-invariant regression under Beer-Lambert’s Law

In M. Arif Wani, T. M. Khoshgoftaar, D.Wang, H. Wang, N. Seliya(editors), Proceedings of the 18th IEEE International Conference of Machine Learning and Applications (ICMLA 2019), pages 581-586, DOI 10.1109/ICMLA.2019.00108, IEEE, February 2020.
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

In M. Felderer, W. Hasselbring, R. Rabiser, R. Jung (Hrsg), Software Engineering 2020, Fachtagung des GI-Fachbereichs Softwaretechnik, Lecture Notes in Informatics - Proceedings Series of the Gesellschaft für Informatik (GI), volume P-300, pages 225-227, DOI 10.18420/SE2020_61, Gesellschaft für Informatik e.V., February 2020.
Software Engineering: Forschung - Innovation - Transfer

In M. Felderer, W. Hasselbring, R. Rabiser, R. Jung (Hrsg), Software Engineering 2020, Fachtagung des GI-Fachbereichs Softwaretechnik, Lecture Notes in Informatics - Proceedings Series of the Gesellschaft für Informatik (GI), volume P-300, pages 161-162, DOI 10.18420/SE2020_50, Gesellschaft für Informatik e.V., February 2020.
The SERUMS tool-chain: Ensuring security and privacy of medical data in smart patient-centric healthcare systems

In Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData 2019), pages 2726-2735, 10.1109/BigData47090.2019.9005600, IEEE, February 2020.
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

In Proceedings of the 2019 26th Asia-Pacific Software Engineering Conference (APSEC 2019), pages 55-62, DOI 10.1109/APSEC48747.2019.00017, IEEE, December 2019.
Mixture density generative adversarial networks

H. Eghbal-zadeh, W. Zellinger and G. Widmer, "Mixture Density Generative Adversarial Networks," 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 5813-5822, doi: 10.1109/CVPR.2019.00597.
Proper hierarchies in polylogarithmic time and absence of complete problems

In A. Herzig, J. Kontinen (editors), Proceedings of the 11th International Symposium on Foundations of Information and Knowledge Systems (FoIKS 2020), Lecture Notes in Computer Science, volume 12012, pages 90-105, DOI 10.1007/978-3-030-39951-1_6, Springer, January 2020.
Software design patterns for machine learning workflows

Master thesis, Universität Passau, Chair of Data Science, January 2020.
2019
Formal design of scalable conversation protocols using Event‐B: Validation, experiments, and benchmark

Journal of Software: Evolution and Process, Special Issue: Security- and Safety-Critical Cyber-Physical Systems, volume 32, number 2, e2209, DOI 10.1002/smr.2209, February 2020.
Optimal selection of training courses for unemployed people based on stable marriage model

In M. Indrawan-Santiago, E. Pardede, I. Luiz Salvadori, M. Steinbauer, I. Khalil, G. Anderst-Kotsis (editors), Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services (iiWAS 2019), pages 260-266, DOI 10.1145/3366030.3366063, ACM, February 2020.
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). doi:10.1002/smr.2239
Special Issue: Security‐ and Safety‐Critical Cyber‐Physical Systems

Journal of Software: Evolution and Process, online first, DOI 10.1002/smr.2239, December 2019. Special Issue: Security- and safety-critical cyber-physical systems. Journal of Software-Evolution and Process. e2239. Volume 32, number 2, pages 1-2, DOI 10.1002/smr.2239, February 2020.
Analysis of integral probability metrics for generative adversarial networks

Master Thesis, Johannes Kepler Universität Linz, Master's Program Computermathematik, November 2019.
Design and validation of a C++ code generator from Abstract State Machines specifications

Journal of Software: Evolution and Process, Special Issue: Security- and Safety-Critical Cyber-Physical Systems, volume 32, number 2, e2205, DOI 10.1002/smr.2205, February 2020.
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

In X. Franch, T. Männistö, S. Martínez-Fernández (editors), Product-Focused Software Process Improvement - Proc. PROFES 2019, Lecture Notes in Computer Science, volume 11915, pages 89-102, DOI 10.1007/978-3-030-35333-9_6, Springer, November 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

In X. Franch, T. Männistö, S. Martínez-Fernández (editors), Product-Focused Software Process Improvement - Proc. PROFES 2019, Lecture Notes in Computer Science, volume 11915, pages 161-175, DOI 10.1007/978-3-030-35333-9_12, Springer, November 2019.
Integrating threat modeling and automated test case generation into industrialized software security testing

In Proceedings of the 3rd Central European Cybersecurity Conference (CECC 2019), article no. 25, pages 1-3, DOI 10.1145/3360664.3362698, ACM, November 2019.
Investigation of genetic tumor heterogeneity using correlated images of H&E and fish stained consecutive tissue sections

COMULIS & BioImaging Austria/CMI Conference, Vienna, Austria, November 21-22, 2019.
Multifaceted consistency checking of collaborative engineering artifacts

In Proceedings of the ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), pages 278-287, DOI 10.1109/MODELS-C.2019.00044, IEEE, September 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

"In A. Hameurlain, R. Wagner (editors), Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII, Lecture Notes in Computer Science, volume 11860, pages 91-110, DOI 10.1007/978-3-662-60531-8_4, Springer, October 2019."
Automatic design of semantic similarity controllers based on fuzzy logics

Expert Systems with Applications, volume 131, pages 45-59, DOI 10.1016/j.eswa.2019.04.046, October 2019.
BSP abstract state machines capture bulk synchronous prallel computations

Science of Computer Programming, volume 184, pages online first, DOI 10.1016/j.scico.2019.102319, October 2019.
Constructing the model of unified algorithmic environment for solving the complex image processing problems based on the Voronoi diagram

PhD thesis, Taras Shevchenko National University of Kyiv, October 2019.
Enhancing acceptance test-driven development with model-based test generation

In Proceedings of the IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C), pages 503-504, DOI 10.1109/QRS-C.2019.00096, IEEE, July 2019.
Evaluierung und Optimierung von Algorithmen zur konturbasierten Objektlokalisierung

Master thesis, FH OÖ, Fachhochschul-Masterstudiengang Automatisierungstechnik, Oktober 2019.
Extracting high-level system specifications from source code via abstract state machines

In K.-D. Schewe, N. Kumar Singh (editors), Model and Data Engineering - Proc. MEDI 2019, Lecture Notes in Computer Science, volume 11815, pages 267-283, DOI 10.1007/978-3-030-32065-2_19, Springer, November 2019.
Facilitating the digital transformation of villages

In 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

IEEE Transactions on Fuzzy Systems, DOI 10.1109/TFUZZ.2019.2950636, October 2019.
Multi-source transfer learning of time series in cyclical manufacturing

Journal of Intelligent Manufacturing, open acces, DOI 10.1007/s10845-019-01499-4, October 2019. Journal of Intelligent Manufacturing, volume 31, pages 777-787, DOI 10.1007/s10845-019-01499-4, March 2020.
Robust generalized fuzzy systems training from high-dimensional time-series data using local structure preserving PLS

IEEE Transactions on Fuzzy Systems, DOI 10.1109/TFUZZ.2019.2945535, October 2019.
Towards pro-active security and privacy by distribution, obfuscation and verification

TRIDENT2019 - 1st International Workshop on Security and Privacy in Models and Data, co-located with 9th International Conference on Model and Data Engineering (MEDI 2019), Toulouse, France, 28-31 October 2019
A cooperative demand-response framework for day-ahead optimization in battery pools

Energy Informatics, volume 2, number 1, DOI 10.1186/s42162-019-0087-x, September 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

Master thesis, FH OÖ, Fachhochschul-Masterstudiengang Data Science and Engineering, September 2019.
A recommender system for software architecture decision making

In L. Duchien, C. Trubiani, R. Scandariato, R. Mirandola, E. M. N. Martinez, D. Weyns, A. Koziolek, P. Scandurra, C. Quinton (editors), Proceedings of the 13th European Conference on Software Architecture - Volume 2 (ECSA '19), pages 10-1322-25, DOI 10.1145/3344948.3344959, ACM, September 2019.
An event-driven approach for time-domain recognition of spoken english letters

In Proceedings of the 5th International Conference on Event-based Control, Communication, & Signal Processing (EBCCSP 2019), pages 1-4, DOI 10.1109/EBCCSP.2019.8836903, IEEE, September 2019.
Applicability of controlled natural languages for architecture analysis and documentation: an industrial case study

In L. Duchien, C. Trubiani, R. Scandariato, R. Mirandola, E. M. N. Martinez, D. Weyns, A. Koziolek, P. Scandurra, C. Quinton (editors), Proceedings of the 13th European Conference on Software Architecture - Volume 2 (ECSA '19), pages 190-196, DOI 10.1145/3344948.3344981 , ACM, September 2019.
Automating test reuse for highly configurable software

In Proceedings of the 23rd International Systems and Software Product Line Conference (SPLC 2019), volume A, pages 1-11, DOI 10.1145/3336294.3336305, ACM, Sepember 2019.
Design and implementation of a graph-based solution for tracking manufacturing products

In T. Welzer et al. (editors), New Trends in Databases and Information Systems - Proc. ADBIS 2019, Communications in Computer and Information Science, volume 1064, pages 417-423, DOI 10.1007/978-3-030-30278-8_41, Springer, September 2019.
Discovering architectural rules in practice

In L. Duchien, C. Trubiani, R. Scandariato, R. Mirandola, E. M. N. Martinez, D. Weyns, A. Koziolek, P. Scandurra, C. Quinton (editors), Proceedings of the 13th European Conference on Software Architecture - Volume 2 (ECSA '19), pages 10-13, DOI 10.1145/3344948.3344956, ACM, September 2019.
Framework for assessing the smartness maturity level of villages

In T. Welzer et al. (editors), New Trends in Databases and Information Systems - Proc. ADBIS 2019, Communications in Computer and Information Science, volume 1064, pages 501-512, DOI 10.1007/978-3-030-30278-8_48, Springer, September 2019.
Neue Programmiersprachen im Web

Bachelor thesis, FH OÖ, Fachhochschul-Bachelorstudiengang Software Engineering, September 2019.
Tradeoff analysis of discrepancy-based adaptive thresholding approach

In Proceedings of the 5th International Conference on Event-based Control, Communication, & Signal Processing (EBCCSP 2019), pages 1-4, DOI 10.1109/EBCCSP.2019.8836905, IEEE, September 2019.
A DaQL to monitor data quality in machine learning applications

In S. Hartmann, J. Küng, S.Chakravarthy, G. Anderst-Kotsis, A M. Tjoa, I. Khalil (editors), Database and Expert Systems Applications - Proc. DEXA 2019, Part II, Lecture Notes of Computer Science, volume 11709, pages 227-237, DOI 10.1007/978-3-030-27615-7_17, Springer, August 2019.
An efficient design for a multi-objective evolutionary algorithm to generate DNA libraries suitable for computation

Interdisciplinary Sciences: Computational Life Sciences, online first, DOI 10.1007/s12539-018-0303-6, August 2018.
Deriving an optimal noise adding mechanism for privacy-preserving machine learning.

In G. Anderst-Kotsis, A Min Tjoa, I. Khalil et al. (editors), Database and Expert Systems Applications - Proc DEXA 209 International Workshops, Communications in Computer and Information Science, volume 1062, pages 108-118, DOI 10.1007/978-3-030-27684-3_15, Springer, August 2019.
Lessons learned from making the transition to model-based GUI testing

In Proceedings of the 10th ACM SIGSOFT International Workshop on Automating TEST Case Design, Selection, and Evaluation - A-TEST 2019, pages 22-27, DOI 10.1145/3340433.3342823, ACM, August 2019.
Measurement-based efficient resource allocation with demand-side adjustments

Automatica, volume 105, pages 274-283, DOI 10.1016/j.automatica.2019.05.003, August 2019.
ML-PipeDebugger: A debugging tool for data processing pipelines?

In S. Hartmann, J. Küng, S.Chakravarthy, G. Anderst-Kotsis, A M. Tjoa, I. Khalil (editors), Database and Expert Systems Applications - Proc. DEXA 2019, Part II, Lecture Notes of Computer Science, volume 11707, pages 263-272, DOI 10.1007/978-3-030-27618-8_20, Springer, August 2019.
Multiple choice question answering in the legal domain using reinforced co-occurrence

In S. Hartmann, J. Küng, S.Chakravarthy, G. Anderst-Kotsis, A M. Tjoa, I. Khalil (editors), Database and Expert Systems Applications - Proc. DEXA 2019, Part I, Lecture Notes of Computer Science, volume 11706, pages 138-148, DOI 10.1007/978-3-030-27615-7_10, Springer, August 2019.
On conditioning GANs to hierarchical ontologies

In G. Anderst-Kotsis, A Min Tjoa, I. Khalil et al. (editors), Database and Expert Systems Applications - Proc DEXA 209 International Workshops, Communications in Computer and Information Science, volume 1062, pages 182-186, DOI 10.1007/978-3-030-27684-3_23, Springer, August 2019.
Predicting survived and killed mutants

Master thesis, University of Tartu, Computer Science Curriculum, August 2019.
Security risk mitigation of cyber physical systems: A case study of a flight simulator

In G. Anderst-Kotsis, A Min Tjoa, I. Khalil et al. (editors), Database and Expert Systems Applications - Proc DEXA 209 International Workshops, Communications in Computer and Information Science, volume 1062, pages 129-138, DOI 10.1007/978-3-030-27684-3_17, Springer, August 2019.
Shifting paradigms in innovation management – Organic growth strategies in the cloud

In A. Walker, R. V. O'Connor, R. Messnarz (editors), Systems, Software and Services Process Improvement - Proc. EuroSPI 2019, Communications in Computer and Information Science, volume 1060, pages 28-42, DOI 10.1007/978-3-030-28005-5_3, Springer, August 2019.
Systematische Analyse innovativer Geschäftsmodelle für den Einsatz künstlicher Intelligenz in österreichischen Energiesystemen und -märkten – auf Basis einer Gegenüberstellung von möglichen Anwendungskonzepten

Master thesis, FH Technikum Wien, Studiengang Erneuerbare Urbane Energiesysteme, August 2019.
Descriptive complexity of polylogarithmic time

PhD thesis, Johannes Keper University Linz, July 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

In E. Abraham et al. (editors), Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2018), pages 133-140, DOI 10.1109/SYNASC.2018.00032, IEEE, May 2019.
Towards a data-driven approach for fraud detection in the social insurance field: A case study in Upper Austria

A. Kö, E. Francesconi, G. Anderst-Kotsis, A Min Tjoa, I. Khalil (editors), Electronic Government and the Information Systems Perspective - Proc. EGOVIS 2019, Lecture Notes in Computer Science, volume 11709, pages 70-84, DOI 10.1007/978-3-030-27523-5_6, Springer, August 2019.
A demand-response framework in balance groups through direct battery-storage control

In Proceedings of the 20th European Control Conference (ECC 2019), pages 1392-1397, IEEE, June 2019.
A novel approach for learning how to automatically match job offers and candidate profiles

Information Systems Frontiers, online first, DOI 10.1007/s10796-019-09929-7, June 2019.
Collaboratively enhanced consistency checking in a cloud-based engineering environment

In Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS'19), article No. 15, DOI 10.1145/3319499.3328232, ACM, June 2019.
Descriptive complexity of deterministic polylogarithmic time

In R. Iemhoff, M. Moortgat, R. de Queiroz (editors), Logic, Language, Information, and Computation - Proc. WoLLIC 2019, Lecture Notes in Computer Science, volume 11541, pages 208-222, DOI 10.1007/978-3-662-59533-6_13, Springer, July 2019.
Optimization heuristics for computing the voronoi skeleton

In J. Rodrigues et al. (editors), Computational Science – Proc. ICCS 2019, Part I, Lecture Notes in Computer Science, volume 11536, pages 96-111, DOI 10.1007/978-3-030-22734-0_8, Springer, June 2019.
Spot detectoion at the single cell level: A computational approach to analyse ifish spots in consecutive sections of heterogeneous neuroblastoma tumors

15th YSA PhD Symposium, Vienna, Austria, June 113-14, 2019.
Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project

In Proceedings of 2018 30th International Conference on Microelectronics (ICM 2018), pages 52-55, DOI 10.1109/ICM.2018.8704093, IEEE, May 2019.
On quasi-isometry of threshold-based sampling

IEEE Transactions on Signal Processing, volume 67, number 14, pages 3832-3841, DOI 10.1109/TSP.2019.2919415, May 2019.
Robust unsupervised domain adaptation for neural networks via moment alignment

Information Sciences, volume 483, number 5, pages 174-191, DOI 10.1016/j.ins.2019.01.025, Elsevier, May 2019.
Semantic similarity aggregators for very short textual expressions: A case study on landmarks and points of interest

Journal of Intelligent Information Systems, online fist, DOI 10.1007/s10844-019-00561-0, May 2019.
Thirteen years of SysML: A systematic mapping study

Journal of Software and Systems Modeling, online first, DOI 10.1007/s10270-019-00735-y, May 2019.
Using decision models for documenting microservice architectures: A student experiment and focus group study

In Proceedings of the 13th IEEE Int. Conf. on Service-Oriented System Engineering (SOSE 2019), pages 37-3709, DOI 10.1109/SOSE.2019.00016, IEEE, April 2019.
A novel data quality metric for minimality

In H. Hacid, Q. Z. Sheng, T. Yoshida, A. Sarkheyli, R.Zhou (editors), Data Quality and Trust in Big Data – QUAT 2018 in conjunction with WISE 2018, Revised Selected Papers, Lecture Notes of Computer Science, volume 11235, pages 1-15, DOI 10.1007/978-3-030-19143-6_1, Springer, April 2019.
Automated schema quality measurement in large-scale information systems

In H. Hacid, Q. Z. Sheng, T. Yoshida, A. Sarkheyli, R.Zhou (editors), Data Quality and Trust in Big Data – QUAT 2018 in conjunction with WISE 2018, Revised Selected Papers, Lecture Notes of Computer Science, volume 11235, pages 16-31, DOI 10.1007/978-3-030-19143-6_2, Springer, April 2019.
Fuzzy theoretic model based analysis of image features

Information Sciences, volume 480, number 4, pages 34-54, DOI 10.1016/j.ins.2018.12.024, April 2019.
Live and global consistency checking in a collaborative engineering environment

In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (ACM SAC 2019), pges 1776-1785, DOI 10.1145/3297280.32997454, ACM, April 2019.
An algorithm for individual intermediate filament tracking

In N. Lepore, J. Brieva, E. Romero, D. Racoceanu, L. Joskowicz (editors), Processing and Analysis of Biomedical Information - SaMBa 2018, Revised Selected Papers, Lecture Notes in Computer Science, volume 11379, pages 66-74, DOI 10.1007/978-3-030-13835-6_8, Springer, March 2019.
Feature Maps: A Comprehensible Software Representation for Design Pattern Detection

In X. Wang, D. Lo, E. Shihab (editors), Proceedings of the 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2019), pages 207-217, DOI 10.1109/SANER.2019.8667978, IEEE, March 2019.
Learning-based dynamic pinning of parallelized applications in many-core systems

In Proceedings of the 27th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP 2019), pages 1-8, DOI 10.1109/EMPDP.2019.8671569, IEEE, February 2019.
Leveraging outdoor webcams for local descriptor learning

In Friedrich Fraundorfer, Peter M. Roth, Fabian Schenk (editors), Proceedings of the 24th Computer Vision Winter Workshop (CVWW 2019), pages 51-60, DOI 10.3217/978-3-85125-652-9-06, Verlag TU Graz, February 2019.
An expert interview study on areas of microservice design

In Proceedings of the 11th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2018), pages 137-144, DOI 10.1109/SOCA.2018.00028, IEEE, January 2019.
Benefits and drawbacks of representing and analyzing source code and software engineering artifacts with graph databases

In D. Winkler, S. Biffl, J. Bergsmann (editors), Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud - Proc. SWQD 2019, Lecture Notes in Business Information Processing, volume 338, pages 125-148, DOI 10.1007/978-3-030-05767-1_9, Springer, January 2019.
Decentralized energy networks based on blockchain: Background, overview and concept discussion

In W. Abramowicz, A. Paschke (editors), Business Information Systems Workshops (BIS 2018), Revised Papers, Lecture Notes in Business Information Processing, volume 339, pages 244-257, DOI 10.1007/978-3-030-04849-5_22, Springer, January 2019.
Microservice design space analysis and decision documentation: A case study on API management

In Proceedings of the 11th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2018), pages 1-8, DOI 10.1109/SOCA.2018.00008, IEEE, January 2019.
Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games

G. C. Chasparis, "Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games," in IEEE Transactions on Automatic Control, vol. 64, no. 11, pp. 4454-4469, Nov. 2019, doi: 10.1109/TAC.2019.2895300.
Why software testing fails: Common pitfalls observed in a critical smart metering project

In D. Winkler, S. Biffl, J. Bergsmann (editors), Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud - Proc. SWQD 2019, Lecture Notes in Business Information Processing, volume 338, pages 73-92, DOI 10.1007/978-3-030-05767-1_6, Springer, January 2019. Best Industrial Experience Paper Award
2018
Multi-parameter online measurement IoT system based on BP neural network algorithm

Neural Comput & Applic, volume 31, pages 8147-8155, DOI 10.1007/s00521-018-3856-8, November 2019.
An adaptive fuzzy filter for image denoising

Cluster Computing, volume 22, number 6, pages 14107-14124, DOI 10.1007/s10586-018-2253-5, November 2019.

2022

Artificial intelligence algorithms reach expert-level accuracy in automated grading of blastocyst morphology assessment based on static embryo images and Gardner criteria

Graph-Based Managing and Mining of Processes and Data in the Domain of Intellectual Property

Dual - and primal-constrained principal component analysis

Special Issue on Machine Learning and Knowledge Graphs

Interpretable ontology meta-matching in the biomedical domain using Mamdani fuzzy inference

2021

An automated evaluation of broker compatibility for the Message Queuing Telemetry Transport protocol

Semantic similarity controllers: On the trade-off between accuracy and interpretability

The balancing principle for parameter choice in distance-regularized domain adaptation

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

Value-Oriented Quality Metrics in Software Development: Categorization and Practical Relevance from a Software Engineering Perspective

A Chemometrician's guide to Transfer Learning

A logic for reflective ASMs

Are standard sample measurements still needed to transfer multivariate calibration models between near-infrared spectrometers? The answer is not always

Crude Oil Futures Contracts and Commodity Markets: New Evidence from a TVP-VAR Extended Joint Connectedness Approach

Data-Driven Support of Coaches in Professional Cycling Using Race Performance Prediction

Decision Diagrams for Quantum Measurements with Shallow Circuits

Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools

eknows: Platform for Multi-Language Reverse Engineering and Documentation Generation

Feature and Model Selection for Day-ahead Electricity-Load Forecasting in Residential Buildings

Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams

IGA using Offset-based Overlapping Domain Parameterizations

Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications

Time-varying spillovers between housing sentiment and housing market in the United States

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

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

Data Catalogs: A Systematic Literature Review and Steps to Implementation

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

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

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

Knowledge Graph Embeddings for News Article Tag Recommendation

Least resolved trees for two-colored best match graphs

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

Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization

Methods for Automatic Machine-Learning Workflow Analysis

Practical Assessment of Payload- Header Switching in Microfluidic Networks

Quantum k-community detection: Algorithm proposals and cross-architectural evaluation

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

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

Task-specific Automation in Deep Learning Processes

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

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

Descriptive Complexity of Deterministic Polylogarithmic Time and Space

Heuristic Algorithms for Best Match Graph Editing

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

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

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

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

Software-Qualitätssicherung im Maschinen- und Anlagenbau: automatisierte Bewertung der technischen Qualität von SPS Code

Advances and Challenges for Model and Data Engineering (editorial)

As Accurate as Needed, as Efficient as Possible: Approximations in DD-based Quantum Circuit Simulation

DQ-MeeRKat: Automating Data Quality Monitoring with a Reference-Data-Profile-Annotated Knowledge Graph

Evaluation of Deep Learning architectures for complex immunofluorescence nuclear image segmentation

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

Generic Sample Preparation for Different Microfluidic Platforms

On the truncated Hausdorff moment problem under Sobolev regularity conditions

Stochastic Quantum Circuit Simulation Using Decision Diagrams

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

Visualizing Decision Diagrams for Quantum Computing

ASM Specification and Refinement of a Quantum Algorithm

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

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

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

Dynamic Measures of Asymmetric & Pairwise Spillovers within an Optimal Currency Area: Evidence from the ERM I System

Efficient Construction of Functional Representations for Quantum Algorithms

Extended Authorization Policy for Graph-Structured Data

GraphifyEvolution - A Modular Approach to Analysing Source Code Histories

QCL-based mid-infrared hyperspectral imaging of multilayer polymer oxygen barrier-films

Volatility connectedness of major cryptocurrencies: The role of investor happiness

A Case Study on the Evolution of Configuration Options of a Highly-Configurable Software System

Best Match Graphs with Binary Trees

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

Lessons Learnt in the Implementation of Quantum Circuit Simulation Using Decision Diagrams

Modeling extra-deep EM logs using a deep neural network

Simulating Defects in Environmental Sensor Networks Using Stochastic Sensor Models

Visualization of Multi-Level Data Quality Dimensions with QuaIIe

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

Adaptive Sparse Cyclic Coordinate Descent for Sparse Frequency Estimation

Efficient One-Pass Synthesis for Digital Microfluidic Biochips