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Jonas Hanselle
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2020 – today
- 2024
- [j3]Stefan Heid, Jonas Hanselle, Johannes Fürnkranz, Eyke Hüllermeier:
Learning decision catalogues for situated decision making: The case of scoring systems. Int. J. Approx. Reason. 171: 109190 (2024) - [i4]Jonas Hanselle, Stefan Heid, Johannes Fürnkranz, Eyke Hüllermeier:
Probabilistic Scoring Lists for Interpretable Machine Learning. CoRR abs/2407.21535 (2024) - 2023
- [j2]Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier:
Towards Green Automated Machine Learning: Status Quo and Future Directions. J. Artif. Intell. Res. 77: 427-457 (2023) - [j1]Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever:
PyExperimenter: Easily distribute experiments and track results. J. Open Source Softw. 8(86): 5149 (2023) - [c4]Jonas Hanselle, Johannes Fürnkranz, Eyke Hüllermeier:
Probabilistic Scoring Lists for Interpretable Machine Learning. DS 2023: 189-203 - [c3]Jonas Hanselle, Jaroslaw Kornowicz, Stefan Heid, Kirsten Thommes, Eyke Hüllermeier:
Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain. LWDA 2023: 430-441 - [i3]Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever:
PyExperimenter: Easily distribute experiments and track results. CoRR abs/2301.06348 (2023) - 2022
- [p1]Jannik Castenow, Björn Feldkord, Jonas Hanselle, Till Knollmann, Manuel Malatyali, Friedhelm Meyer auf der Heide:
Distributed Data Streams. Algorithms for Big Data 2022: 179-195 - [i2]Lukas Fehring, Jonas Hanselle, Alexander Tornede:
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection. CoRR abs/2210.17341 (2022) - 2021
- [c2]Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier:
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. PAKDD (1) 2021: 152-163 - [i1]Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier:
Towards Green Automated Machine Learning: Status Quo and Future Directions. CoRR abs/2111.05850 (2021) - 2020
- [c1]Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier:
Hybrid Ranking and Regression for Algorithm Selection. KI 2020: 59-72
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