Dr. Bernhard Freudenthaler

Area Manager Data Science
Telefon: +43 50 343 850


Data Science - DAS

M. Kumar, S. Singh, B. Freudenthaler. Gaussian fuzzy theoretic analysis for variational learning of nested compositions. International Journal of Approximate Reasoning, volume 131, pages 1-29, DOI: 10.1016/j.ijar.2020.12.021, April, 2021.

F. Sobieczky, M. Shahriari Shourabi, B. Freudenthaler. 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.

M. Kumar, W. Zhang, M. Weippert, B. Freudenthaler. An explainable fuzzy theoretic nonparametric deep model for stress assessment using heartbeat intervals analysis. IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2020.3029284, October, 2020.

M. Kumar, M. Roßbory, B. Moser, B. Freudenthaler. An optimal (∊,δ)-differentially private learning of distributed deep fuzzy model. Information Services, volume online first, DOI: 10.1016/j.ins.2020.07.044, August, 2020.

M. Kumar, M. Roßbory, B. Moser, B. Freudenthaler. Differentially private learning of distributed deep models. MAP '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.

P. Praher, B. Freudenthaler, W. Schröder, F. Sobieczky. 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.

J. Martinez Gil, B. Freudenthaler. Optimal selection of training courses for unemployed people based on stable marriage model . In M. Indrawan-Santiago, E. Pardede, I. Salvadori (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.

B. Freudenthaler. Predictive Maintenance - Grundvoraussetzungen, Schritte und Möglichkeiten aus Data Analytics Sicht. Jahrbuch Instandhaltungstage 2020, pages 131-134, April, 2020.

M. Kumar, D. Brunner, B. Moser, B. Freudenthaler. Variational optimization of informational privacy. In G. Kotsis, A. Tjoa, I. Khali, L. Fischer, B. Moser, A. Mashkoor, J. Sametinger, A. Fensel, J. Martínez Gil (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.

J. Martinez-Gil, B. Freudenthaler, A. Tjoa. A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence. Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII, pages 91-110, DOI: 10.1007/978-3-662-60531-8_4, October, 2019.

M. Kumar, M. Roßbory, B. Moser, B. Freudenthaler. Deriving an optimal noise adding mechanism for privacy-preserving machine learning. In G. Anderst-Kotsis, A. Tjoa, I. Khalil, E. 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.

P. Praher, B. Freudenthaler, W. Schröder, F. Sobieczky. Enhancing industrial maintenance through intelligent data analysis. Extended Abstracts of the 17th International Conference on Computer Aided Systems Theory (EUROCAST 2019), pages 246-247, February, 2019.

M. Kumar, B. Freudenthaler. Fuzzy membership functional analysis for nonparametric deep models of image features. IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2019.2950636, October, 2019.

J. Martínez Gil, B. Freudenthaler, A. Tjoa. Multiple choice question answering in the legal domain using reinforced co-occurrence. In S. Hartmann, J. Küng, S. Chakravarthy, G. Anderst-Kotsis, A. 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.

B. Freudenthaler. Predictive Maintenance - Projektbeispiele aus der anwendungsorientierten Forschung. Symposium 2019 Tribologie in Industrie und Forschung, pages 5-10, ÖTG, November, 2019.

J. Martinez Gil, B. Freudenthaler, T. Natschläger. Automatic recommendation of prognosis measures for mechanical components based on massive text mining (extended version). International Journal of Web Information Systems, volume 14, number 4, pages 480-494, DOI: 10.1108/IJWIS-04-2018-0029, December, 2018.

J. Martínez Gil, B. Freudenthaler, T. Natschläger. Recommendation of job offers using random forests and support vector machines. Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018), CEUR Workshop Proceedings, volume 2083, pages 22-27, EUR-WS.org, March, 2018.

P. Praher, B. Freudenthaler, W. Schröder. Smart Maintenance - Unterstützung und Weiterentwicklung der Instandhaltung durch intelligente Datananalysen. Jahrbuch Instandhaltungstage 2018, pages 96-99, Leykam Buchverlag, April, 2018.

J. Martinez-Gil, B. Freudenthaler, T. Natschläger. Automatic recommendation of prognosis measures for mechanical components based on massive text mining. In M. Indrawan-Santiago, I. Salvadori, M. Steinbauer, I. Khalil, G. Anderst-Kotsis (editors), Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017), pages 32-39, DOI 10.1145/3151759.3151774, ACM, December, 2017.

A. Kinz, W. Schröder, P. Praher, B. Freudenthaler, T. Passath. Dynamisierung und wertschöpfungsorientierte Optimierung der Instandhaltungsstrategie - Smart Maintenance in einem komplexen Fertigungssystem. In G. Horn (editor), Der Instandhaltungs-Berater, volume 74. Ergänzung/Aktualisierung, December, 2017.

A. Buga, B. Freudenthaler, J. Martinez Gil, S. Nemes, L. Paoletti. Management of accurate profile matching using multi-cloud service interaction. In M. Indrawan-Santiago, I. Salvadori, M. Steinbauer, I. Khalil, G. Anderst-Kotsis (editors), Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017), pages 161-165, DOI 10.1145/3151759.3151831, ACM, December, 2017.

A. Kinz, W. Schröder, T. Passath, P. Praher, B. Freudenthaler. Optimierung des anlagenspezifischen Instandhaltungsstrategiemix am Beispiel eines komplexen Fertigungssystems - Smart Maintenance in der mechanischen Fertigung. In H. Biedermann (editor), Erfolg durch Lean Smart Maintenance - Bausteine und Wege des Wandels, pages 185-216, TÜV Media, October, 2017.

F. Kossak, C. Illibauer, V. Geist, C. Natschläger, T. Ziebermayr, B. Fredenthaler, T. Kopetzky, K. Schewe. Hagenberg Business Process Modelling Method. Springer, May, 2016.

A. Kinz, H. Biedermann, P. Traxler, B. Freudenthaler, J. Isopp, W. Schröder, A. Schlegl. Smart Maintenance - Ressourcenintelligente antizipative Instandhaltung durch Condition Monitoring, Datenanalyse und Störungsprognostik. volume 49, pages 20-24, January, 2016.

F. Kossak, C. Illibauer, V. Geist, J. Kubovy, C. Natschläger, T. Ziebermayr, T. Kopetzky, B. Freudenthaler, K. Schewe. A rigorous semantics for BPMN 2.0 process diagrams. Springer, January, 2015.

R. Stumptner, B. Freudenthaler. Adaptive flood forecasting for small catchment areas. In A. Quesada-Arencibia et al. (editors), EUROCAST 2015 Computer Aided Systems Theory Extended Abstracts, pages 63-64, February, 2015.

B. Freudenthaler, R. Stumptner. Adaptive flood forecasting for small catchment areas. In R. Moreno-Diaz, F. Pichler, A. Quesada-Arencibia (editors), Computer Aided Systems Theory - EUROCAST 2015 Revised Selected Papers, Lecture Notes in Computer Science, volume 9520, pages 211-218, DOI 10.1007/978-3-319-27340-2_27, Springer, December, 2015.

R. Stumptner, B. Freudenthaler. Combining relational and NoSQL database sstems for processing sensor data in disaster management. In A. Quesada-Arencibia et al. (editors), EUROCAST 2015 Computer Aided Systems Theory Extended Abstracts, pages 207-208, February, 2015.

R. Stumptner, C. Lettner, B. Freudenthaler. Combining relational and NoSQL database systems for processing sensor data in disaster management. In R. Moreno-Diaz, F. Pichler, A. Quesada-Arencibia (editors), Computer Aided Systems Theory - EUROCAST 2015 Revised Selected Papers, Lecture Notes in Computer Science, volume 9520, pages 663-670, DOI 10.1007/978-3-319-27340-2_82, Springer, December, 2015.

J. Martinez-Gil, G. Chasparis, A. Bögl, C. Illibauer, B. Freudenthaler, T. Natschläger. Framework for fast prototyping of energy-saving controllers. Proceedings of the 26th International Workshops on Database and Expert Systems Applications, pages 68-72, September, 2015.

K. Schewe, V. Geist, C. Illibauer, F. Kossak, C. Natschläger, T. Kopetzky, J. Kubovy, B. Freudenthaler, T. Ziebermayr. Horizontal business process model integration. In A. Hameurlain, J. Küng, R. Wagner, H. Decker, L. Lhotska (editors), Transactions in Large-Scale Data and Knowledge-Centered Systems XVIII, Lecture Notes in Computer Science, volume 8980, pages 30-52, DOI 10.1007/978-3-662-46485-4_2, Springer, February, 2015.

R. Stumptner, C. Lettner, B. Freudenthaler, J. Pichler, W. Kirchmayr, E. Traxler. Maintaining and analyzing production process definitions using a tree-based similarity measure. In E. Hüllermeier, M. Minor (editors), Case-Based Reasoning Research and Development - Proc. ICCBR 2015, Lecture Notes in Artificial Intelligence, volume 9343, pages 366-380, DOI 10.1007/978-3-319-24586-7_25, Springer, September, 2015.

B. Freudenthaler, C. Lettner, R. Stumptner. On comparing jCOLIBRI and myCBR in the frame of a support system for cash machines. In P. Perner (editor), Case-Based Reasoning - New Developments - Workshop Proc. CBR-MD 2015, pages 17-30, ibai-publishing, July, 2015.

J. Martínez Gil, G. Chasparis, B. Freudenthaler, T. Natschläger. Realistic user behavior modeling for energy saving in residential buildings. In F. Morvan, R. Wagner, A. Tjoa (editors), Proceedings of the 25th International Workshop on Database and Expert Systems Applications - DEXA 2014, pages 121-125, CPS, September, 2014.

J. Martínez-Gil, B. Freudenthaler, T. Natschläger. Modeling user behavior through electricity consumption patterns. In F. Morvan, A. M. Toja, R. R. Wagner (editors), 24th International Workshop on Database and Expert Systems Applications, pages 204-213, CPS, August, 2013.

H. Kosorus, T. Natschläger, B. Freudenthaler, J. Küng. On the relevance of graphical causa models for failure detection for industrial machinery. In A. Quesada-Arencibia et al. (editors), EUROCAST 2013 Computer Aided Systems Theory Extended Abstracts, pages 85-86, IUCTC Universidad Las Palmas, February, 2013.

A. Kosorus, M. Zhariy, T. Natschläger, B. Freudenthaler, J. Küng. On the relevance of graphical causal models for failure detection for industrial machinery. In R. Moreno-Díaz, F. Pichler, A. Quesada-Arencibia (editors), Computer Aided Systems Theory - EUROCAST 2013, Revised Selected Papers, Part I, Lecture Notes in Computer Science, volume 8111, pages 174-181, Springer, December, 2013.

R. Stumptner, B. Freudenthaler, M. Krenn. BIAccelerator - A template-based approach for rapid ETL development. In L. Chen, A. Felfernig, J. Liu, Z. Ras (editors), Foundations of Intelligent Systems - Proc. ISMIS 2012, Lecture Notes in Computer Science, volume 7661, pages 435-444, Springer, December, 2012.

K. Matouše, P. Kremen, J. Küng, R. Stumptner, S. Anderlik, B. Freudenthaler. On transforming a knowledge base from topic maps to OWL. In R. Moreno-Diaz, F. Pichler, A. Quesada (editors), Computer Aided Systems Theory - Proc. EUROCAST 2011, Part I, Lecture Notes in Computer Science, volume 6927, pages 208-215, Springer, February, 2012.

C. Natschläger, V. Geist, F. Kossak, B. Freudenthaler. Optional activities in process flows. In S. Rinderle-Ma, M. Weske (editors), Proceedings of EMISA 2012 Der Mensch im Zentrum der Modellierung, volume P-206, pages 67-80, Gesellschaft für Informatik e.V., September, 2012.

T. Ziebermayr, B. Freudenthaler. A proposal for anarchy in SOA governance: Make services, not rules. In F. Morvan, A. M. Tjoa, R. R. Wagner (editors), Proceedings of the 22 International Workshop on Database and Expert Systems Applications, pages 56-59, IEEE, August/September, 2011.

B. Freudenthaler. CBRSHM - A case-based decision support system for semi-automated assessment of structures in terms of structural health monitoring. In A. Ram, N. Wiratung (editors), Proceedings of the 19th International Conference on Case Based Reasoning (ICCBR 2011), Lecture Notes in Artificial Intelligence, volume 6880, pages 437-451, Springer, September, 2011.

E. Sonnleitner, H. Kosorus, R. Stumptner, J. Küng, S. Anderlik, B. Freudenthaler, H. Allmer. Integration of data mining operations for structural health monitoring. Proceedings of the 8th International Workshop on Structural Health Monitoring - IWSHM 2011, DEStech Publications, September, 2011.

S. Anderlik, R. Stumptner, B. Freudenthaler, M. Fritz. A proposal on ontology-based integration of heterogeneous decision support systems for structural health monitoring. In G. Kotsis, D. Taniar, E. Pardede, I. Saleh, I. Khalil (editors), Proceedings of the The 12th International Conference on Information Integration and Web-based Applications & Services (iiWAS2010), pages 166-173, ACM, November, 2010.

C. Lettner, C. Hawel, B. Freudenthaler, E. Draxler. Conceptual models for metadata integration and architecture evolution. Proceedings of the 2nd International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2010), pages on CD, SciTePress, October, 2010.

T. Natschläger, T. Steinmaurer, B. Freudenthaler, B. Moser, W. Traunmüller, R. Spolwind, M. Wallnöfer. Energieeffizienz durch Prozess- und Datenanalyse in verteilten mechatronischen Systemen. Tagungsband Industrielles Symposium Mechatronik Automatisierung (ISM 2010), pages on CD, Mechatronik-Cluster, November, 2010.

Dr. Bernhard Freudenthaler is Area Manager for Data Science at the Software Competence Center Hagenberg.
He studied business informatics at the Johannes Kepler University Linz (JKU) with focus on information engineering and management, business engineering and management, application oriented knowledge processing and economics. Afterwards, he wrote his doctoral thesis about case-based decision support for structural health monitoring and worked as research assistant at the institute for application oriented knowledge processing (FAW) at JKU.

His main research interests are case-based reasoning, decision support systems as well as predictive analytics / maintenance and he published more than 40 scientific publications.
He is an experienced project manager and coordinator of various national as well as international research projects, e.g. he was member of the financial coordination team of the FP7 project IRIS at JKU (budget ca. 13 Mio. €) and coordinator of the projects INDYCO (EraSME; budget ca. 1.5 Mio. €), VMI (EFRE; budget ca. 3 Mio. €), mpcEnergy (Upper Austrian Energy Research Programme; budget ca. 0.6 Mio. €), KI-Net (Interreg Austria-Bavaria; budget ca. 1.3 Mio. €), AutoDetect (Innovative Upper Austria 2020; budget ca. 0.5 Mio. €) or PRIMAL (FFG - ICT of the Future; budget ca. 0.9 Mio. €).

In addition, he organized the scientific workshop ISSASiM (International Workshop on Information Systems for Situation Awareness and Situation Management) at the DEXA conference between 2011 and 2015 and is/was program committee member of several conferences and journals (e.g. DEXA, International Journal On Advances in Intelligent Systems, ICCGI, ISSASiM, IATEM).