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4 Publications
2023 | Journal Article | LibreCat-ID: 48777
Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.” Machine Learning, 2023. https://doi.org/10.1007/s10994-023-06385-y.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 50262
Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.” Machine Learning 112, no. 12 (2023): 4863–4903. https://doi.org/10.1007/s10994-023-06385-y.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 25035
Haddenhorst, Björn, Viktor Bengs, and Eyke Hüllermeier. “On Testing Transitivity in Online Preference Learning.” Machine Learning, 2021, 2063–84. https://doi.org/10.1007/s10994-021-06026-2.
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 3510 | 
Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “ML-Plan: Automated Machine Learning via Hierarchical Planning.” Machine Learning, 2018, 1495–1515. https://doi.org/10.1007/s10994-018-5735-z.
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