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448 Publications
2023 | Preprint | LibreCat-ID: 45911 | 
Lienen, Julian, and Eyke Hüllermeier. “Mitigating Label Noise through Data Ambiguation.” ArXiv:2305.13764, 2023.
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| arXiv
2023 | Journal Article | LibreCat-ID: 21600
Dellnitz, Michael, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, and Karlson Pfannschmidt. “Efficient Time Stepping for Numerical Integration Using Reinforcement Learning.” SIAM Journal on Scientific Computing 45, no. 2 (2023): A579–95. https://doi.org/10.1137/21M1412682.
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| arXiv
2023 | Book Chapter | LibreCat-ID: 48776
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.” In Machine Learning and Knowledge Discovery in Databases: Research Track. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-43418-1_26.
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2023 | Conference Paper | LibreCat-ID: 48775
Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “On Feature Removal for Explainability in Dynamic Environments.” In ESANN 2023 Proceedings. i6doc.com publ., 2023. https://doi.org/10.14428/esann/2023.es2023-148.
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2023 | Book Chapter | LibreCat-ID: 48778
Muschalik, Maximilian, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, and Eyke Huellermeier. “IPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.” In Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-44064-9_11.
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2023 | Conference Paper | LibreCat-ID: 51209
Hanselle, Jonas Manuel, Jaroslaw Kornowicz, Stefan Heid, Kirsten Thommes, and Eyke Hüllermeier. “Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain.” In LWDA’23: Learning, Knowledge, Data, Analysis. , edited by M Leyer and J Wichmann, 2023.
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2022 | Conference Paper | LibreCat-ID: 32311
Sharma, Arnab, Vitaly Melnikov, Eyke Hüllermeier, and Heike Wehrheim. “Property-Driven Testing of Black-Box Functions.” In Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE), 113–23. IEEE, 2022.
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2022 | Conference Paper | LibreCat-ID: 34542
Campagner, Andrea, Julian Lienen, Eyke Hüllermeier, and Davide Ciucci. “Scikit-Weak: A Python Library for Weakly Supervised Machine Learning.” In Lecture Notes in Computer Science, 13633:57–70. Springer, 2022.
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2022 | Preprint | LibreCat-ID: 31546 |
Lienen, Julian, Caglar Demir, and Eyke Hüllermeier. “Conformal Credal Self-Supervised Learning.” ArXiv:2205.15239, 2022.
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2022 | Journal Article | LibreCat-ID: 33090
Gevers, Karina, Alexander Tornede, Marcel Dominik Wever, Volker Schöppner, and Eyke Hüllermeier. “A Comparison of Heuristic, Statistical, and Machine Learning Methods for Heated Tool Butt Welding of Two Different Materials.” Welding in the World, 2022. https://doi.org/10.1007/s40194-022-01339-9.
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2022 | Report | LibreCat-ID: 36227
Hammer, Barbara, Eyke Hüllermeier, Volker Lohweg, Alexander Schneider, Wolfram Schenck, Ulrike Kuhl, Marco Braun, et al. Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens, 2022. https://doi.org/10.4119/unibi/2965622.
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2022 | Journal Article | LibreCat-ID: 48780
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “Agnostic Explanation of Model Change Based on Feature Importance.” KI - Künstliche Intelligenz 36, no. 3–4 (2022): 211–24. https://doi.org/10.1007/s13218-022-00766-6.
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2021 | Journal Article | LibreCat-ID: 24143
Drees, Jan Peter, Pritha Gupta, Eyke Hüllermeier, Tibor Jager, Alexander Konze, Claudia Priesterjahn, Arunselvan Ramaswamy, and Juraj Somorovsky. “Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!” 14th ACM Workshop on Artificial Intelligence and Security, 2021.
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2021 | Journal Article | LibreCat-ID: 24148
Ramaswamy, Arunselvan, and Eyke Hüllermeier. “Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis.” IEEE Transactions on Artificial Intelligence (to Appear), 2021.
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2021 | Journal Article | LibreCat-ID: 21004
Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1. https://doi.org/10.1109/tpami.2021.3051276.
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| DOI
2021 | Journal Article | LibreCat-ID: 21092
Mohr, Felix, Marcel Dominik Wever, Alexander Tornede, and Eyke Hüllermeier. “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence, n.d.
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2021 | Conference Paper | LibreCat-ID: 21570
Tornede, Tanja, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance.” In Proceedings of the Genetic and Evolutionary Computation Conference, 2021.
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