Jonas Hanselle
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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
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
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
HARRIS: Hybrid ranking and regression forests for algorithm selection
L Fehring, J Hanselle, A Tornede
arXiv preprint arXiv:2210.17341, 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
Probabilistic Scoring Lists for Interpretable Machine Learning
J Hanselle, J Fürnkranz, E Hüllermeier
International Conference on Discovery Science, 189-203, 2023
Learning decision catalogues for situated decision making: The case of scoring systems
S Heid, J Hanselle, J Fürnkranz, E Hüllermeier
International Journal of Approximate Reasoning, 109190, 2024
Distributed Data Streams
J Castenow, B Feldkord, J Hanselle, T Knollmann, M Malatyali, ...
Algorithms for Big Data: DFG Priority Program 1736, 179-195, 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
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
Subproject B2: Configuration and Evaluation
J Hanselle, E Hüllermeier, F Mohr, A Ngonga, MA Sherif, A Tornede, ...
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