Falkner, D., Boegl, M., Gattinger, A., Stainko, R., Zenisek, J. & Affenzeller, M. - Integrating Machine Learning into Supply Chain Management: Challenges and Opportunities - Elsevier, Procedia computer science
Sobieczky, F., Dudkin, E. & Zenisek, J. - Learning the inhomogeneous term of a linear ODE - Elsevier, Procedia computer science
Zenisek, J., Bachinger, F., Pitzer, E., Wagner, S. & Affenzeller, M. - Composable Evolutionary Computation - Computer Aided Systems Theory, Springer, Cham.
Bachinger, F., Haider, C., Zenisek, J., de Franca, FO & Affenzeller, M. - Automated Inference of Domain Knowledge in Scientific Machine Learning - Computer Aided Systems Theory, Springer, Cham.
Haider, C., Bachinger, F., de Franca, FO - Comparing Constraint Evaluation Methods for Shape-constrained Regression - Computer Aided Systems Theory, Springer, Cham.
Falkner, D., Boegl, M., Langthaller, I. & Affenzeller, M. - Surrogates for Fair-Weather Photovoltaic Module Output - Computer Aided Systems Theory, Springer, Cham.
Sobieczky, F., Bukovsky, I. & Khan, M. - A Predictive Maintenance Strategy Cost-Model - QREI International
Kinast, A., Braune, R. - Towards Benchmarking of Collaborative Robots in Production - Elsevier, Procedia computer science
Sobieczky, F. & Lopez, A. - Physical explanations of AI-time series forecasting using BAPC - European Network of Business and Industrial Statistics
Zenisek, J., Dorl, S., Falkner, D., Gaisberger, L., Winkler, S. & Affenzeller, M. - Shapley Value based Variable Interaction Networks for Data Stream Analysis - Computer Aided Systems Theory - EUROCAST 2022 18th International Conference, Las Palmas de Gran Canaria, Spain, February 20-25, 2022, Revised Selected Papers
Affenzeller, M., Boegl, M., Fischer, L., Sobieczky, F., Yang, K. & Zenisek, J. - Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way - In proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Zenisek, J., Bachinger, F., Pitzer, E., Wagner, S., Falkner, D., Lopez, A. & Affenzeller, M. - A domain specific language for distributed modeling - Proceedings of the 35th European Modeling and Simulation Symposium, 2023, Greece, Athens
Zenisek, J., Bachinger, F., Falkner, D., Pitzer, E., Wagner, S., Lopez, A. & Affenzeller, M. - A messaging library for distributed modeling - Elsevier, Procedia computer science
Bachinger, F., Zenisek, J. & Affenzeller, M. - Automated Machine Learning for Industrial Applications – Challenges and Opportunities - Elsevier, Procedia computer science
Khan, M., Ahmad, A., Sobieczky, F., Pichler, M., Moser, B. & Bukovsky, I. - A Systematic Mapping Study of Predictive Maintenance in SMEs - IEEE Access, 10, 88738-88749
Zenisek, J., Bachinger, F., Pitzer, E., Wagner, S. & Affenzeller, M. - Utilizing Interpretable Machine Learning to detect Dynamics in Energy Communities - Proceedings of the 34th European Modeling and Simulation Symposium, 2022, Italy, Rome
Knospe, I., Stainko, R., Gattinger, A., Boegl, M., Rafetseder, K., Falkner, D. - A Tabu Search Approach to the Shot-Term Operational Planning of Power Systems - Operations Research 2022, Karlsruhe