Jonas Hanselle

According to our database, Jonas Hanselle authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Probabilistic scoring lists for interpretable machine learning.

Jonas Hanselle, Stefan Heid, Johannes Fürnkranz, Eyke Hüllermeier

Mach. Learn., March, 2025

MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making.

Stefan Heid, Jaroslaw Kornowicz, Jonas Hanselle, Kirsten Thommes, Eyke Hüllermeier

Proceedings of the Explainable Artificial Intelligence, 2025

Conformal Prediction without Nonconformity Scores.

Jonas Hanselle, Alireza Javanmardi, Tobias Florin Oberkofler, Yusuf Sale, Eyke Hüllermeier

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

Learning decision catalogues for situated decision making: The case of scoring systems.

Stefan Heid, Jonas Hanselle, Johannes Fürnkranz, Eyke Hüllermeier

Int. J. Approx. Reason., 2024

2023

PyExperimenter: Easily distribute experiments and track results.

Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever

J. Open Source Softw., June, 2023

Towards Green Automated Machine Learning: Status Quo and Future Directions.

Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier

J. Artif. Intell. Res., 2023

Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain.

Jonas Hanselle, Jaroslaw Kornowicz, Stefan Heid, Kirsten Thommes, Eyke Hüllermeier

Proceedings of the Lernen, 2023

Probabilistic Scoring Lists for Interpretable Machine Learning.

Jonas Hanselle, Johannes Fürnkranz, Eyke Hüllermeier

Proceedings of the Discovery Science - 26th International Conference, 2023

2022

HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection.

Lukas Fehring, Jonas Hanselle, Alexander Tornede

CoRR, 2022

Distributed Data Streams.

Jannik Castenow, Björn Feldkord, Jonas Hanselle, Till Knollmann, Manuel Malatyali, Friedhelm Meyer auf der Heide

Proceedings of the Algorithms for Big Data - DFG Priority Program 1736, 2022

2021

Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.

Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Hybrid Ranking and Regression for Algorithm Selection.

Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier

Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020