| Tsevo: Evolutionary counterfactual explanations for time series classification J Höllig, C Kulbach, S Thoma 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 5 | 2022 |
| Tsinterpret: A python package for the interpretability of time series classification J Höllig, C Kulbach, S Thoma Journal of Open Source Software 8 (85), 5220, 2023 | 4 | 2023 |
| Semantic meaningfulness: Evaluating counterfactual approaches for real-world plausibility and feasibility J Höllig, AF Markus, J de Slegte, P Bagave World Conference on Explainable Artificial Intelligence, 636-659, 2023 | 1 | 2023 |
| AIDA-Vis–Automatic Data Visualization with Human Preferences W Laurito, J Höllig, J Lachowitzer, S Thoma, M Budde, P Philipp Gesellschaft für Informatik, Bonn, 2022 | 1 | 2022 |
| XTSC-bench: quantitative benchmarking for explainers on time series classification J Höllig, S Thoma, F Grimm 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
| TSInterpret: A unified framework for time series interpretability J Höllig, C Kulbach, S Thoma arXiv preprint arXiv:2208.05280, 2022 | | 2022 |
| Digitalisierung von Transportdienstleistungen. Untersuchung der Potenziale zur Einbindung von Transportdienstleistungen in dynamische Plattformen L Eger, K Joussen, C Schwarz, J Höllig, T Levy, A Kraus Internationales Verkehrswesen 74 (1), 2022 | | 2022 |
| Evolutionary Counterfactual Visual Explanation. J Höllig, S Thoma, C Kulbach KI (Workshops), 2022 | | 2022 |
| Abschlussbericht des Forschungsprojekts" Broker für Dynamische Produktionsnetzwerke" C Bauer, K Bauer, S Becker, L Bergmann, M Beuttler, HP Bock, E Broda, ... | | 2021 |
