Jonas Hanselle

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Machine Learning

Future Directions

Regression Forests

Top Venues

Int. J. Approx. Reason.

Publications

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 (2024)
Jonas Hanselle, Stefan Heid, Johannes Fürnkranz, Eyke Hüllermeier
Probabilistic Scoring Lists for Interpretable Machine Learning. CoRR (2024)
Jonas Hanselle, Johannes Fürnkranz, Eyke Hüllermeier
Probabilistic Scoring Lists for Interpretable Machine Learning. DS (2023)
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) (2023)
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 (2023)
Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
PyExperimenter: Easily distribute experiments and track results. CoRR (2023)
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)
Lukas Fehring, Jonas Hanselle, Alexander Tornede
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection. CoRR (2022)
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier
Towards Green Automated Machine Learning: Status Quo and Future Directions. CoRR (2021)
Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. PAKDD (1) (2021)
Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Hybrid Ranking and Regression for Algorithm Selection. KI (2020)