J. Zenisek, N. Wild, J. Wolfartsberger - Investigating the Potential of Smart Manufacturing Technologies - Procedia Computer Science 180, pp. 507-516
J. Wolfartsberger, J. Zenisek, N. Wild - Supporting Teamwork in Industrial Virtual Reality Applications - Procedia Manufacturing 42, pp. 2-7
J. Zenisek, J. Wolfartsberger, N. Wild, M. Affenzeller - Towards a Stream based Machine Learning Testbed - Proceedings of the 32th European Modeling and Simulation Symposium, 2020, Hungary, Athens (virtually held)
J. Wolfartsberger, D. Niedermayr - Authoring-by-Doing: Animating Work Instructions for Industrial Virtual Reality Learning Environments - Proceedings of 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
J. Wolfartsberger, J. Zenisek, N. Wild - Data-Driven Maintenance: Combining Predictive Maintenance and Mixed Reality-Supported Remote Assistance - Procedia Manufacturing 45, pp. 307-312
J. Zenisek, F. Holzinger, M. Affenzeller - Machine learning based concept drift detection for predictive maintenance - Computers & Industrial Engineering 137, 106031
J. Wolfartsberger - Analyzing the Potential of Virtual Reality for Engineering Design Review - Automation in Construction, Vol. 104, 2019, pp. 27-37
J. Wolfartsberger, M. Heiml, G. Schwarz, S. Egger - Multi-Modal Visualization of Working Instructions for Assembly Operations - International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, Vol. 13(2), 2019, pp. 107-112
J. Wolfartsberger, J. Hallewell-Haslwantner, R. Lindorfer - Perspectives on Assistive Systems for Manual Assembly Tasks in Industry - Technologies, Vol. 7(1), 2019, pp. 1-12
H. Jodlbauer, J. Wolfartsberger, J. Zenisek, M. Brunner - Produktivitätssteigerung durch vorausschauende Instandhaltung und Datenvisualisierung - ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Carl Hanser Verlag
J. Zenisek, G. Kronberger, J. Wolfartsberger, N. Wild, M. Affenzeller - Concept Drift Detection with Variable Interaction Networks - Lecture Notes in Computer Science 12013, Springer Cham, 2019, pp. 296-202
E. Pitzer, M. Affenzeller - “Incremental” Evaluation for Genetic Crossover - Lecture Notes in Computer Science 12013, Springer Cham, 2019, pp. 396-404
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, 2018, Hungary, Budapest, pp. 322-330
F. Bachinger, J. Zenisek, L. Kammerer, M. Stimpfl, G. Kronberger - Performance of Industrial Sensor Data Persistence in Data Vault - Proceedings of the 30th European Modeling and Simulation Symposium, 2018, Hungary, Budapest, pp. 226-233
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, 2018, Hungary, Budapest, pp. 115-122
J. Zenisek, J. Wolfartsberger, C. Sievi, M. Affenzeller - Modeling Sensor Networks for Predictive Maintenance - Lecture Notes in Computer Science 11231, Springer Nature, 2019, pp. 184-188
J. Wolfartsberger, J.D. Hallewell-Haslwanter, R. Froschauer, R. Lindorfer, M. Jungwirth, D. Wahlmüller - Industrial Perspectives on Assistive Systems for Manual Assembly Tasks - Proceedings of the 11th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 2018, pp. 289-291
S. Strasser, J. Zenisek, S. Tripathi, L. Schimpelsberger, H. Jodlbauer - Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes - Springer, Cham
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, ACM, pp. 116-117
J. Wolfartsberger, J. Zenisek, C. Sievi - Chances and Limitations of a Virtual Reality-supported Tool for Decision Making in Industrial Engineering - IFAC-PapersOnLine 51 (11), pp. 637-642
J. Zenisek, J. Wolfartsberger, C. Sievi, M. Affenzeller - Streaming Synthetic Time Series for Simulated Condition Monitoring - IFAC-PapersOnLine 51 (11), pp. 643-648
H. Jodlbauer, S. Straßer, J. Wolfartsberger - Optimaler Einsatz von Mensch-Maschine-Kollaboration - ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Carl Hanser Verlag
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, pp. 546-551
J. Wolfartsberger, J. Zenisek, C. Sievi, M. Silmbroth - A virtual reality supported 3D environment for engineering design review - Proceedings of the 23rd International Conference on Virtual System & Multimedia (VSMM), 2017. IEEE, pp. 1-8
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, Greece, 2017, pp. 230-231
J. Wolfartsberger, F. Obermair, S. Egger - Augmented Reality als Ersatz für die Aufbauanleitung in Papierform - productivity, 2017, pp. 58-61
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, Springer, Cham, 2017, pp. 481-488
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