Towards green automated machine learning: Status quo and future directions T Tornede, A Tornede, J Hanselle, F Mohr, M Wever, E Hüllermeier Journal of Artificial Intelligence Research 77, 427-457, 2023 | 19 | 2023 |
Hybrid ranking and regression for algorithm selection J Hanselle, A Tornede, M Wever, E Hüllermeier German Conference on Artificial Intelligence (Künstliche Intelligenz), 59-72, 2020 | 15 | 2020 |
Algorithm selection as superset learning: Constructing algorithm selectors from imprecise performance data J Hanselle, A Tornede, M Wever, E Hüllermeier Pacific-Asia Conference on Knowledge Discovery and Data Mining, 152-163, 2021 | 8 | 2021 |
HARRIS: Hybrid ranking and regression forests for algorithm selection L Fehring, J Hanselle, A Tornede arXiv preprint arXiv:2210.17341, 2022 | 4 | 2022 |
A meta-review on artificial intelligence in product creation R Bernijazov, A Dicks, R Dumitrescu, M Foullois, JM Hanselle, ... Proceedings of the 30th International Joint Conference on Artificial …, 2021 | 4 | 2021 |
Probabilistic Scoring Lists for Interpretable Machine Learning J Hanselle, J Fürnkranz, E Hüllermeier International Conference on Discovery Science, 189-203, 2023 | 1 | 2023 |
Distributed Data Streams J Castenow, B Feldkord, J Hanselle, T Knollmann, M Malatyali, ... Algorithms for Big Data: DFG Priority Program 1736, 179-195, 2023 | | 2023 |
PyExperimenter: Easily distribute experiments and track results T Tornede, A Tornede, L Fehring, L Gehring, H Graf, J Hanselle, F Mohr, ... arXiv preprint arXiv:2301.06348, 2023 | | 2023 |
Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain J Hanselle, J Kornowicz, S Heid, K Thommes, E Hüllermeier CEUR-WS. org, 2023 | | 2023 |
Subproject B2: Configuration and Evaluation J Hanselle, E Hüllermeier, F Mohr, A Ngonga, MA Sherif, A Tornede, ... | | |