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449 Publications


2019 | Preprint | LibreCat-ID: 18018
@article{Bengs_Holzmann_2019, title={Uniform approximation in classical weak convergence theory}, journal={arXiv:1903.09864}, author={Bengs, Viktor and Holzmann, Hajo}, year={2019} }
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2019 | Conference Abstract | LibreCat-ID: 8868
@inproceedings{Wever_Mohr_Hüllermeier_Hetzer_2019, title={Towards Automated Machine Learning for Multi-Label Classification}, author={Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke and Hetzer, Alexander}, year={2019} }
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2019 | Journal Article | LibreCat-ID: 10578
@article{Tagne_Fotso_Fono_Hüllermeier_2019, title={Choice Functions Generated by Mallows and Plackett–Luce Relations}, volume={15}, number={2}, journal={New Mathematics and Natural Computation}, author={Tagne, V. K. and Fotso, S. and Fono, L. A. and Hüllermeier, Eyke}, year={2019}, pages={191–213} }
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2019 | Journal Article | LibreCat-ID: 15001
@article{Couso_Borgelt_Hüllermeier_Kruse_2019, title={Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning}, DOI={10.1109/mci.2018.2881642}, journal={IEEE Computational Intelligence Magazine}, author={Couso, Ines and Borgelt, Christian and Hüllermeier, Eyke and Kruse, Rudolf}, year={2019}, pages={31–44} }
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2019 | Journal Article | LibreCat-ID: 15002 | OA
@article{Waegeman_Dembczynski_Hüllermeier_2019, title={Multi-target prediction: a unifying view on problems and methods}, volume={33}, DOI={10.1007/s10618-018-0595-5}, number={2}, journal={Data Mining and Knowledge Discovery}, author={Waegeman, Willem and Dembczynski, Krzysztof and Hüllermeier, Eyke}, year={2019}, pages={293–324} }
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2019 | Conference Paper | LibreCat-ID: 15003
@inproceedings{Mortier_Wydmuch_Dembczynski_Hüllermeier_Waegeman_2019, title={Set-Valued Prediction in Multi-Class Classification}, booktitle={Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019}, author={Mortier, Thomas and Wydmuch, Marek and Dembczynski, Krzysztof and Hüllermeier, Eyke and Waegeman, Willem}, year={2019} }
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2019 | Book Chapter | LibreCat-ID: 15004
@inbook{Ahmadi Fahandar_Hüllermeier_2019, place={Cham}, title={Feature Selection for Analogy-Based Learning to Rank}, DOI={10.1007/978-3-030-33778-0_22}, booktitle={Discovery Science}, author={Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}, year={2019} }
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2019 | Book Chapter | LibreCat-ID: 15005
@inbook{Ahmadi Fahandar_Hüllermeier_2019, place={Cham}, title={Analogy-Based Preference Learning with Kernels}, DOI={10.1007/978-3-030-30179-8_3}, booktitle={KI 2019: Advances in Artificial Intelligence}, author={Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}, year={2019} }
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2019 | Book Chapter | LibreCat-ID: 15006
@inbook{Nguyen_Destercke_Hüllermeier_2019, place={Cham}, title={Epistemic Uncertainty Sampling}, DOI={10.1007/978-3-030-33778-0_7}, booktitle={Discovery Science}, author={Nguyen, Vu-Linh and Destercke, Sébastien and Hüllermeier, Eyke}, year={2019} }
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2019 | Conference Paper | LibreCat-ID: 15007 | OA
@inproceedings{Melnikov_Hüllermeier_2019, title={Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA}, DOI={10.1016/j.jmva.2019.02.017}, booktitle={Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2019} }
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