Person

Jan Zenisek BSc MSc

Maschinelles Lernen, Symbolische Regression, Predictive Maintenance

Ausbildung

Fachhochschule Oberösterreich, Software Engineering, MSc
Okt. 2014 - Sep. 2016
Fachhochschule Oberösterreich, Software Engineering, BSc
Okt. 2012 - Juli 2014
Höhere Technische Lehranstalt, Informatik in Leonding
Sep. 2006 - Juli 2011

Forschungsinteressen

  • Maschinelles Lernen
  • Predictive Maintenance
  • Symbolische Regression
2019
H. Jodlbauer, J. Wolfartsberger, J. Zenisek, M. Brunner - Produktivitätssteigerung durch vorausschauende Instandhaltung und Datenvisualisierung - ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb, Vol. 114, No. 4, 2019, pp. 181-183 mehr
2018
B. Zimmer, J. Zenisek, H. C. Jetter - Towards Uncertainty Visualization in Smart Production Environments - Proceedings of the 11th International Symposium on Visual Information Communication and Interaction, Växjö, Schweden, 2018, pp. 116-117 mehr
2018
J. Wolfartsberger, J. Zenisek, C. Sievi - Chances and Limitations of a Virtual Reality-supported Tool for Decision Making in Industrial Engineering - IFAC Symposium on Information Control Problems in Manufacturing, Bergamo, Italien, 2018, pp. 637-642 mehr
2018
F. Holzinger, M. Kommenda, E. Strumpf, J. Langer, J. Zenisek, M. Affenzeller - Sensor-based Modeling of Radial Fans - Proceedings of the 30th European Modeling and Simulation Symposium EMSS2018, Budapest, Hungary, Ungarn, 2018, pp. 322-330 mehr
2018
J. Zenisek, J. Wolfartsberger, C. Sievi, M. Affenzeller - Streaming Synthetic Time Series for Simulated Condition Monitoring - IFAC Symposium on Information Control Problems in Manufacturing, Bergamo, Italien, 2018, pp. 643-648 mehr
2018
J. Zenisek, J. Wolfartsberger, C. Sievi, M. Affenzeller - Comparing machine learning methods on concept drift detection for Predictive Maintenance - Proceedings of the 30th European Modeling and Simulation Symposium EMSS2018, Budapest, Hungary, Ungarn, 2018, pp. 115-122 mehr
2018
F. Bachinger, J. Zenisek, L. Kammerer, M. Stimpfl, G. K. Kronberger - Performance of Industrial Sensor Data Persistence in Data Vault - Proceedings of the 30th European Modeling and Simulation Symposium EMSS2018, Budapest, Hungary, Ungarn, 2018, pp. 226-233 mehr
2018
J. Zenisek, J. Wolfartsberger, C. Sievi, M. Affenzeller - Modeling Sensor Networks for Predictive Maintenance - On The Move to Meaningful Internet Systems: OTM 2018 Workshops (Lecture Notes in Computer Science, LNCS 11231), Valletta, Malta, 2018, pp. 184-188 mehr
2017
J. Wolfartsberger, J. Zenisek, C. Sievi, M. Silmbroth - Towards an Augmented Reality and Sensor-Based Assistive System for Assembly Tasks - Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, Rhodes, Griechenland, 2017, pp. 230-231 mehr
2017
J. Wolfartsberger, J. Zenisek, C. Sievi, M. Silmbroth - A Virtual Reality Supported 3D Environment for Engineering Design Review - 23rd International Conference on Virtual Systems and Multimedia, Dublin, Irland, 2017, pp. 1-8 mehr
2017
J. Zenisek, L. Nicoletti, F. Longo, G. Traugott, A. Padovano, M. Affenzeller - Smart Maintenance Lifecycle Management: A Design Proposal - Proceedings of the 29th European Modeling and Simulation Symposium, 2017, Barcelona, Spain, Barcelona, Spanien, 2017, pp. 546-551 mehr
2017
J. Zenisek, M. Affenzeller, C. Sievi, M. Silmbroth, J. Wolfartsberger - Predictive Maintenance for Transport Systems – Employing Model Ensembles for Online State Detection - Proceedings of the IAUP Triennial Conference, Wien, Österreich, 2017, pp. 2 mehr
2017
J. Zenisek, M. Affenzeller, J. Wolfartsberger, M. Silmbroth, C. Sievi, A. Huskic, H. Jodlbauer - Sliding Window Symbolic Regression for Predictive Maintenance using Model Ensembles - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 8 mehr
2016
Ziel des Projekts ist der Aufbau eines standortübergreifenden vernetzten Technologie-Labors zur Entwicklung und Erprobung innovativer Technologien, Methoden und Konzepte für Intelligente Produktion… mehr