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4 Publications
2023 | Journal Article | LibreCat-ID: 48777
@article{Fumagalli_Muschalik_Hüllermeier_Hammer_2023, title={Incremental permutation feature importance (iPFI): towards online explanations on data streams}, DOI={10.1007/s10994-023-06385-y}, journal={Machine Learning}, publisher={Springer Science and Business Media LLC}, author={Fumagalli, Fabian and Muschalik, Maximilian and Hüllermeier, Eyke and Hammer, Barbara}, year={2023} }
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 50262
@article{Fumagalli_Muschalik_Hüllermeier_Hammer_2023, title={Incremental permutation feature importance (iPFI): towards online explanations on data streams}, volume={112}, DOI={10.1007/s10994-023-06385-y}, number={12}, journal={Machine Learning}, publisher={Springer Science and Business Media LLC}, author={Fumagalli, Fabian and Muschalik, Maximilian and Hüllermeier, Eyke and Hammer, Barbara}, year={2023}, pages={4863–4903} }
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 25035
@article{Haddenhorst_Bengs_Hüllermeier_2021, title={On testing transitivity in online preference learning}, DOI={10.1007/s10994-021-06026-2}, journal={Machine Learning}, author={Haddenhorst, Björn and Bengs, Viktor and Hüllermeier, Eyke}, year={2021}, pages={2063–2084} }
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 3402
@article{Melnikov_Hüllermeier_2018, title={On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis}, DOI={10.1007/s10994-018-5733-1}, journal={Machine Learning}, author={Melnikov, Vitalik and Hüllermeier, Eyke}, year={2018} }
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