448 Publications
2024 | Journal Article | LibreCat-ID: 53073
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.” Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 13 (2024): 14388–96. https://doi.org/10.1609/aaai.v38i13.29352.
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2024 | Journal Article | LibreCat-ID: 54911
Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.
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2024 | Journal Article | LibreCat-ID: 54910
Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.
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| DOI
2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, Patrick, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions through Stratification.” In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, edited by Sanjoy Dasgupta, Stephan Mandt, and Yingzhen Li, 238:3520–3528. Proceedings of Machine Learning Research. PMLR, 2024.
LibreCat
2024 | Journal Article | LibreCat-ID: 54907
Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.
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| DOI
2024 | Conference Paper | LibreCat-ID: 57645
Heid, Stefan, Jaroslaw Kornowicz, Jonas Manuel Hanselle, Eyke Hüllermeier, and Kirsten Thommes. “Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems.” In PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 21:233, 2024.
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2024 | Conference Paper | LibreCat-ID: 55631
Javanmardi, Alireza, Osarenren Kennedy Aimiyekagbon, Amelie Bender, James Kuria Kimotho, Walter Sextro, and Eyke Hüllermeier. “Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions.” In PHM Society European Conference, Vol. 8. PHM Society, 2024. https://doi.org/10.36001/phme.2024.v8i1.4101.
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2023 | Conference Paper | LibreCat-ID: 51373
Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In 26th International Conference on Discovery Science , 14050:189–203. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.
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2023 | Conference Paper | LibreCat-ID: 52230
Fumagalli, Fabian, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, and Barbara Hammer. “SHAP-IQ: Unified Approximation of Any-Order Shapley Interactions.” In NeurIPS 2023 - Advances in Neural Information Processing Systems, 36:11515--11551. Curran Associates, Inc., 2023.
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2023 | Book Chapter | LibreCat-ID: 54613
Hanselle, Jonas Manuel, Eyke Hüllermeier, Felix Mohr, Axel-Cyrille Ngonga Ngomo, Mohamed Sherif, Alexander Tornede, and Marcel Dominik Wever. “Configuration and Evaluation.” In On-The-Fly Computing – Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:85–104. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068466.
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2023 | Book Chapter | LibreCat-ID: 54909
Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In Discovery Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.
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| DOI
2023 | Preprint | LibreCat-ID: 44512 | 
Uhlemeyer, Svenja, Julian Lienen, Eyke Hüllermeier, and Hanno Gottschalk. “Detecting Novelties with Empty Classes.” ArXiv:2305.00983, 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 31880 |
Nguyen, Duc Anh, Ron Levie, Julian Lienen, Gitta Kutyniok, and Eyke Hüllermeier. “Memorization-Dilation: Modeling Neural Collapse Under Noise.” In International Conference on Learning Representations, ICLR, 2023.
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2023 | Book Chapter | LibreCat-ID: 45884 |
Hanselle, Jonas Manuel, Eyke Hüllermeier, Felix Mohr, Axel-Cyrille Ngonga Ngomo, Mohamed Sherif, Alexander Tornede, and Marcel Dominik Wever. “Configuration and Evaluation.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:85–104. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068466.
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2023 | Book Chapter | LibreCat-ID: 45886 |
Wehrheim, Heike, Eyke Hüllermeier, Steffen Becker, Matthias Becker, Cedric Richter, and Arnab Sharma. “Composition Analysis in Unknown Contexts.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:105–23. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068510.
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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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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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2021 | Journal Article | LibreCat-ID: 21636
Lienen, Julian, and Eyke Hüllermeier. “Instance Weighting through Data Imprecisiation.” International Journal of Approximate Reasoning, 2021.
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2021 | Conference Paper | LibreCat-ID: 21637 |
Lienen, Julian, and Eyke Hüllermeier. “From Label Smoothing to Label Relaxation.” In Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI, 35:8583–91. AAAI Press, 2021.
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2021 | Conference Paper | LibreCat-ID: 23779
Bernijazov, Ruslan, Alexander Dicks, Roman Dumitrescu, Marc Foullois, Jonas Manuel Hanselle, Eyke Hüllermeier, Gökce Karakaya, et al. “A Meta-Review on Artificial Intelligence in Product Creation.” In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2021.
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2021 | Conference Paper | LibreCat-ID: 22280
Lienen, Julian, Eyke Hüllermeier, Ralph Ewerth, and Nils Nommensen. “Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 14595–604, 2021.
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2021 | Preprint | LibreCat-ID: 22509 |
Lienen, Julian, and Eyke Hüllermeier. “Credal Self-Supervised Learning.” ArXiv:2106.11853, 2021.
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2021 | Conference Paper | LibreCat-ID: 22913
Hüllermeier, Eyke, Felix Mohr, Alexander Tornede, and Marcel Dominik Wever. “Automated Machine Learning, Bounded Rationality, and Rational Metareasoning,” 2021.
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2021 | Conference Paper | LibreCat-ID: 27381
Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.” In Proceedings of The 24th International Conference on Discovery Science (DS 2021), edited by Carlos Soares and Luis Torgo, 12986:166–80. Lecture Notes in Computer Science. Springer, 2021. https://doi.org/10.1007/978-3-030-88942-5.
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| DOI
| arXiv
2021 | Conference Paper | LibreCat-ID: 21198
Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” PAKDD, 2021.
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2021 | Book Chapter | LibreCat-ID: 29292 |
Feldhans, Robert, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, and Eyke Hüllermeier. “Drift Detection in Text Data with Document Embeddings.” In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-91608-4_11.
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2021 | Journal Article | LibreCat-ID: 24456 |
Rohlfing, Katharina J., Philipp Cimiano, Ingrid Scharlau, Tobias Matzner, Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.” IEEE Transactions on Cognitive and Developmental Systems 13, no. 3 (2021): 717–28. https://doi.org/10.1109/tcds.2020.3044366.
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2021 | Working Paper | LibreCat-ID: 45616
Straaten, Dirk van, Vitalik Melnikov, Eyke Hüllermeier, Behnud Mir Djawadi, and René Fahr. Accounting for Heuristics in Reputation Systems: An Interdisciplinary Approach on Aggregation Processes. Vol. 72. Working Papers Dissertations, 2021.
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2020 | Preprint | LibreCat-ID: 19603 |
Bode, Henrik, Stefan Helmut Heid, Daniel Weber, Eyke Hüllermeier, and Oliver Wallscheid. “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” ArXiv:2005.04869, 2020.
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2020 | Conference Paper | LibreCat-ID: 19953 |
Damke, Clemens, Vitaly Melnikov, and Eyke Hüllermeier. “A Novel Higher-Order Weisfeiler-Lehman Graph Convolution.” In Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020), edited by Sinno Jialin Pan and Masashi Sugiyama, 129:49–64. Proceedings of Machine Learning Research. Bangkok, Thailand: PMLR, 2020.
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| arXiv
2020 | Preprint | LibreCat-ID: 20211 |
Lienen, Julian, and Eyke Hüllermeier. “Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model.” ArXiv:2010.13118, 2020.
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2020 | Conference Paper | LibreCat-ID: 24146
Heid, Stefan Helmut, Arunselvan Ramaswamy, and Eyke Hüllermeier. “Constrained Multi-Agent Optimization with Unbounded Information Delay.” In Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020, 26:247, 2020.
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2020 | Conference Paper | LibreCat-ID: 17407
Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Extreme Algorithm Selection with Dyadic Feature Representation.” In Discovery Science, 2020.
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2020 | Conference Paper | LibreCat-ID: 17408
Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Hybrid Ranking and Regression for Algorithm Selection.” In KI 2020: Advances in Artificial Intelligence, 2020.
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2020 | Conference Paper | LibreCat-ID: 17424
Tornede, Tanja, Alexander Tornede, Marcel Dominik Wever, Felix Mohr, and Eyke Hüllermeier. “AutoML for Predictive Maintenance: One Tool to RUL Them All.” In Proceedings of the ECMLPKDD 2020, 2020. https://doi.org/10.1007/978-3-030-66770-2_8.
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2020 | Preprint | LibreCat-ID: 17605 |
Heid, Stefan Helmut, Marcel Dominik Wever, and Eyke Hüllermeier. “Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction.” Journal of Data Mining and Digital Humanities. episciences, n.d.
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2020 | Conference Paper | LibreCat-ID: 20306
Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Towards Meta-Algorithm Selection.” In Workshop MetaLearn 2020 @ NeurIPS 2020, 2020.
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2020 | Book Chapter | LibreCat-ID: 18014
El Mesaoudi-Paul, Adil, Dimitri Weiß, Viktor Bengs, Eyke Hüllermeier, and Kevin Tierney. “Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach.” In Learning and Intelligent Optimization. LION 2020., 12096:216–32. Lecture Notes in Computer Science. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-53552-0_22.
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2020 | Preprint | LibreCat-ID: 18017
El Mesaoudi-Paul, Adil, Viktor Bengs, and Eyke Hüllermeier. “Online Preselection with Context Information under the Plackett-Luce Model.” ArXiv:2002.04275, n.d.
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2020 | Conference Paper | LibreCat-ID: 18276
Tornede, Alexander, Marcel Dominik Wever, Stefan Werner, Felix Mohr, and Eyke Hüllermeier. “Run2Survive: A Decision-Theoretic Approach to Algorithm Selection Based on Survival Analysis.” In ACML 2020, 2020.
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2020 | Journal Article | LibreCat-ID: 16725
Richter, Cedric, Eyke Hüllermeier, Marie-Christine Jakobs, and Heike Wehrheim. “Algorithm Selection for Software Validation Based on Graph Kernels.” Journal of Automated Software Engineering, n.d.
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2020 | Conference Paper | LibreCat-ID: 15629
Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification.” Springer, n.d.
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2019 | Conference Abstract | LibreCat-ID: 8868
Wever, Marcel Dominik, Felix Mohr, Eyke Hüllermeier, and Alexander Hetzer. “Towards Automated Machine Learning for Multi-Label Classification,” 2019.
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2019 | Journal Article | LibreCat-ID: 10578
Tagne, V. K., S. Fotso, L. A. Fono, and Eyke Hüllermeier. “Choice Functions Generated by Mallows and Plackett–Luce Relations.” New Mathematics and Natural Computation 15, no. 2 (2019): 191–213.
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2019 | Journal Article | LibreCat-ID: 15001
Couso, Ines, Christian Borgelt, Eyke Hüllermeier, and Rudolf Kruse. “Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning.” IEEE Computational Intelligence Magazine, 2019, 31–44. https://doi.org/10.1109/mci.2018.2881642.
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2019 | Journal Article | LibreCat-ID: 15002 |
Waegeman, Willem, Krzysztof Dembczynski, and Eyke Hüllermeier. “Multi-Target Prediction: A Unifying View on Problems and Methods.” Data Mining and Knowledge Discovery 33, no. 2 (2019): 293–324. https://doi.org/10.1007/s10618-018-0595-5.
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2019 | Conference Paper | LibreCat-ID: 15003
Mortier, Thomas, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, and Willem Waegeman. “Set-Valued Prediction in Multi-Class Classification.” In 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, 2019.
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2019 | Book Chapter | LibreCat-ID: 15004
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Feature Selection for Analogy-Based Learning to Rank.” In Discovery Science. Cham, 2019. https://doi.org/10.1007/978-3-030-33778-0_22.
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| DOI
2019 | Book Chapter | LibreCat-ID: 15005
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Analogy-Based Preference Learning with Kernels.” In KI 2019: Advances in Artificial Intelligence. Cham, 2019. https://doi.org/10.1007/978-3-030-30179-8_3.
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2019 | Book Chapter | LibreCat-ID: 15006
Nguyen, Vu-Linh, Sébastien Destercke, and Eyke Hüllermeier. “Epistemic Uncertainty Sampling.” In Discovery Science. Cham, 2019. https://doi.org/10.1007/978-3-030-33778-0_7.
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2019 | Conference Paper | LibreCat-ID: 15007 |
Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.” In Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019. https://doi.org/10.1016/j.jmva.2019.02.017.
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2019 | Conference Paper | LibreCat-ID: 15011 |
Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” In Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, edited by Frank Hoffmann, Eyke Hüllermeier, and Ralf Mikut, 135–46. KIT Scientific Publishing, Karlsruhe, 2019.
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2019 | Conference Paper | LibreCat-ID: 15013
Brinker, Klaus, and Eyke Hüllermeier. “A Reduction of Label Ranking to Multiclass Classification.” In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany, 2019.
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2019 | Conference Paper | LibreCat-ID: 15014
Hüllermeier, Eyke, Ines Couso, and Sebastian Diestercke. “Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants.” In Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.
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2019 | Journal Article | LibreCat-ID: 15015
Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” ACM Transactions on Knowledge Discovery from Data, 2019, 1–36. https://doi.org/10.1145/3363572.
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| DOI
2019 | Conference Abstract | LibreCat-ID: 13132
Mohr, Felix, Marcel Dominik Wever, Alexander Tornede, and Eyke Hüllermeier. “From Automated to On-The-Fly Machine Learning.” In INFORMATIK 2019: 50 Jahre Gesellschaft Für Informatik – Informatik Für Gesellschaft, 273–74. INFORMATIK 2019, Lecture Notes in Informatics (LNI), Gesellschaft Für Informatik. Bonn: Gesellschaft für Informatik e.V., 2019.
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2019 | Conference Paper | LibreCat-ID: 10232 |
Wever, Marcel Dominik, Felix Mohr, Alexander Tornede, and Eyke Hüllermeier. “Automating Multi-Label Classification Extending ML-Plan,” 2019.
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2019 | Journal Article | LibreCat-ID: 20243
Rohlfing, Katharina, Giuseppe Leonardi, Iris Nomikou, Joanna Rączaszek-Leonardi, and Eyke Hüllermeier. “Multimodal Turn-Taking: Motivations, Methodological Challenges, and Novel Approaches.” IEEE Transactions on Cognitive and Developmental Systems, 2019. https://doi.org/10.1109/TCDS.2019.2892991.
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2018 | Conference Paper | LibreCat-ID: 2479 |
Mohr, Felix, Marcel Dominik Wever, Eyke Hüllermeier, and Amin Faez. “(WIP) Towards the Automated Composition of Machine Learning Services.” In SCC. San Francisco, CA, USA: IEEE, 2018. https://doi.org/10.1109/SCC.2018.00039.
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2018 | Conference Paper | LibreCat-ID: 2857 |
Mohr, Felix, Theodor Lettmann, Eyke Hüllermeier, and Marcel Dominik Wever. “Programmatic Task Network Planning.” In Proceedings of the 1st ICAPS Workshop on Hierarchical Planning, 31–39. AAAI, 2018.
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2018 | Conference Paper | LibreCat-ID: 2471 |
Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “On-The-Fly Service Construction with Prototypes.” In SCC. San Francisco, CA, USA: IEEE Computer Society, 2018. https://doi.org/10.1109/SCC.2018.00036.
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2018 | Journal Article | LibreCat-ID: 3402
Melnikov, Vitalik, and Eyke Hüllermeier. “On the Effectiveness of Heuristics for Learning Nested Dichotomies: An Empirical Analysis.” Machine Learning, 2018. https://doi.org/10.1007/s10994-018-5733-1.
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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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2018 | Conference Paper | LibreCat-ID: 3552 |
Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “Reduction Stumps for Multi-Class Classification.” In Proceedings of the Symposium on Intelligent Data Analysis. ‘s-Hertogenbosch, the Netherlands, n.d. https://doi.org/10.1007/978-3-030-01768-2_19.
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2018 | Conference Paper | LibreCat-ID: 3852 |
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “ML-Plan for Unlimited-Length Machine Learning Pipelines.” In ICML 2018 AutoML Workshop, 2018.
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2018 | Conference Paper | LibreCat-ID: 2109 |
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Ensembles of Evolved Nested Dichotomies for Classification.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018. Kyoto, Japan: ACM, 2018. https://doi.org/10.1145/3205455.3205562.
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2018 | Preprint | LibreCat-ID: 17713 |
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Automated Multi-Label Classification Based on ML-Plan.” Arxiv, 2018.
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2018 | Preprint | LibreCat-ID: 17714 |
Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “Automated Machine Learning Service Composition,” 2018.
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2018 | Book Chapter | LibreCat-ID: 6423
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” In Discovery Science, 161–75. Cham: Springer International Publishing, 2018. https://doi.org/10.1007/978-3-030-01771-2_11.
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2018 | Conference (Editor) | LibreCat-ID: 10591
Abiteboul, S., M. Arenas, P. Barceló, M. Bienvenu, D. Calvanese, C. David, R. Hull, et al., eds. Research Directions for Principles of Data Management. Vol. 7, 2018.
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2018 | Book Chapter | LibreCat-ID: 10783
Couso, Ines, and Eyke Hüllermeier. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In Frontiers in Computational Intelligence, edited by Sanaz Mostaghim, Andreas Nürnberger, and Christian Borgelt, 31–46. Springer, 2018.
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2018 | Journal Article | LibreCat-ID: 16038
Schäfer, D., and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models Based on Joint Feature Representations.” Machine Learning 107, no. 5 (2018): 903–41.
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2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical Reasoning.” In Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI), 2951–58, 2018.
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2018 | Conference Paper | LibreCat-ID: 10148
El Mesaoudi-Paul, Adil, Eyke Hüllermeier, and Robert Busa-Fekete. “Ranking Distributions Based on Noisy Sorting.” In Proc. 35th Int. Conference on Machine Learning (ICML), 3469–77. Verlagsschriftenreihe Des Heinz Nixdorf Instituts, Paderborn. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2018.
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2018 | Conference Paper | LibreCat-ID: 10149
Hesse, M., J. Timmermann, Eyke Hüllermeier, and Ansgar Trächtler. “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart.” In Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 15–20, 2018.
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2018 | Book Chapter | LibreCat-ID: 10152
Mencia, E.Loza, J. Fürnkranz, Eyke Hüllermeier, and M. Rapp. “Learning Interpretable Rules for Multi-Label Classification.” In Explainable and Interpretable Models in Computer Vision and Machine Learning, edited by H. Jair Escalante, S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, and M.A.J. van Gerven, 81–113. The Springer Series on Challenges in Machine Learning. Springer, 2018.
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2018 | Conference Paper | LibreCat-ID: 10181
Nguyen, Vu-Linh, Sebastian Destercke, M.-H. Masson, and Eyke Hüllermeier. “Reliable Multi-Class Classification Based on Pairwise Epistemic and Aleatoric Uncertainty.” In Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 5089–95, 2018.
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2018 | Conference Paper | LibreCat-ID: 10184
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” In Proc. 21st Int. Conference on Discovery Science (DS), 161–75, 2018.
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2018 | Journal Article | LibreCat-ID: 10276
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models Based on Joint Feature Representations.” Machine Learning 107, no. 5 (2018): 903–41.
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2018 | Conference Abstract | LibreCat-ID: 1379 |
Seemann, Nina, Michaela Geierhos, Marie-Luis Merten, Doris Tophinke, Marcel Dominik Wever, and Eyke Hüllermeier. “Supporting the Cognitive Process in Annotation Tasks.” In Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, edited by Kerstin Eckart and Dominik Schlechtweg, 2018.
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2018 | Journal Article | LibreCat-ID: 22996
Hesse, Michael, Julia Timmermann, Eyke Hüllermeier, and Ansgar Trächtler. “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart.” Procedia Manufacturing 24 (2018): 15–20.
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2017 | Conference Paper | LibreCat-ID: 3325
Melnikov, Vitalik, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” In Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. KIT Scientific Publishing, 2017. https://doi.org/10.5445/KSP/1000074341.
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2017 | Conference Paper | LibreCat-ID: 71
Czech, Mike, Eyke Hüllermeier, Marie-Christine Jakobs, and Heike Wehrheim. “Predicting Rankings of Software Verification Tools.” In Proceedings of the 3rd International Workshop on Software Analytics, 23–26. SWAN’17, 2017. https://doi.org/10.1145/3121257.3121262.
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2017 | Report | LibreCat-ID: 72
Czech, Mike, Eyke Hüllermeier, Marie-Christine Jakobs, and Heike Wehrheim. Predicting Rankings of Software Verification Competitions, 2017.
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2017 | Encyclopedia Article | LibreCat-ID: 10589
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, 1000–1005, 2017.
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2017 | Book Chapter | LibreCat-ID: 10784
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb, 107:1000–1005. Springer, 2017.
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2017 | Conference Paper | LibreCat-ID: 1180 |
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization.” In 27th Workshop Computational Intelligence. Dortmund, 2017.
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2017 | Conference Paper | LibreCat-ID: 15397
Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies. A Comparison of Two Heuristics.” In In Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann, Eyke Hüllermeier, and R. Mikut, 1–12. KIT Scientific Publishing, 2017.
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2017 | Conference Paper | LibreCat-ID: 15399
Czech, M., Eyke Hüllermeier, M.C. Jacobs, and Heike Wehrheim. “Predicting Rankings of Software Verification Tools.” In In Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, 2017.
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2017 | Conference Paper | LibreCat-ID: 15110
Couso, Ines, D. Dubois, and Eyke Hüllermeier. “Maximum Likelihood Estimation and Coarse Data.” In In Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, 3–16. Springer, 2017.
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2017 | Conference Paper | LibreCat-ID: 10204
Ewerth, Ralph, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczynski, and Eyke Hüllermeier. “Estimating Relative Depth in Single Images via Rankboost.” In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 919–24, 2017.
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2017 | Conference Paper | LibreCat-ID: 10205
Ahmadi Fahandar, Mohsen, Eyke Hüllermeier, and Ines Couso. “Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening.” In Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 1078–87, 2017.
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2017 | Conference Paper | LibreCat-ID: 10206 |
Mohr, Felix, Theodor Lettmann, and Eyke Hüllermeier. “Planning with Independent Task Networks.” In Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 193–206, 2017. https://doi.org/10.1007/978-3-319-67190-1_15.
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2017 | Conference Paper | LibreCat-ID: 10207
Czech, M., Eyke Hüllermeier, M.-C. Jakobs, and Heike Wehrheim. “Predicting Rankings of Software Verification Tools.” In Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 23–26, 2017.
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2017 | Conference Paper | LibreCat-ID: 10208
Couso, Ines, D. Dubois, and Eyke Hüllermeier. “Maximum Likelihood Estimation and Coarse Data.” In Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 3–16, 2017.
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2017 | Conference Paper | LibreCat-ID: 10209
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical Reasoning.” In Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017.
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2017 | Conference Paper | LibreCat-ID: 10212
Hoffmann, F., Eyke Hüllermeier, and R. Mikut. “(Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017,” 2017.
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2017 | Conference Paper | LibreCat-ID: 10213
Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” In Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 1–12, 2017.
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2017 | Conference Paper | LibreCat-ID: 10216
Shaker, Ammar, W. Heldt, and Eyke Hüllermeier. “Learning TSK Fuzzy Rules from Data Streams.” In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
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2017 | Journal Article | LibreCat-ID: 10267
Bräuning, M., Eyke Hüllermeier, T. Keller, and M. Glaum. “Lexicographic Preferences for Predictive Modeling of Human Decision Making. A New Machine Learning Method with an Application in Accounting.” European Journal of Operational Research 258, no. 1 (2017): 295–306.
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2017 | Journal Article | LibreCat-ID: 10268
Platenius, M.-C., Ammar Shaker, M. Becker, Eyke Hüllermeier, and W. Schäfer. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering 43, no. 8 (2017): 739–59.
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2017 | Journal Article | LibreCat-ID: 10269
Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy Rule-Based Systems: A Critical Reflection.” The Computing Research Repository (CoRR), 2017.
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2016 | Journal Article | LibreCat-ID: 3318
Melnikov, Vitalik, Eyke Hüllermeier, Daniel Kaimann, Bernd Frick, and Pritha Gupta. “Pairwise versus Pointwise Ranking: A Case Study.” Schedae Informaticae 25 (2016). https://doi.org/10.4467/20838476si.16.006.6187.
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2016 | Journal Article | LibreCat-ID: 190
Platenius, Marie Christin, Ammar Shaker, Matthias Becker, Eyke Hüllermeier, and Wilhelm Schäfer. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017, no. 8 (2016): 739–59. https://doi.org/10.1109/TSE.2016.2632115.
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2016 | Conference Paper | LibreCat-ID: 184
Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.” In Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 756–71. LNCS, 2016. https://doi.org/10.1007/978-3-319-46227-1_47.
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2016 | Encyclopedia Article | LibreCat-ID: 10785
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb. Springer, 2016.
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2016 | Conference Paper | LibreCat-ID: 15400
Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On the Identifiability of Models in Multi-Criteria Preference Learning.” In In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 15401
Schäfer, D., and Eyke Hüllermeier. “Preference -Based Reinforcement Learning Using Dyad Ranking.” In In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 15402
Couso, Ines, Mohsen Ahmadi Fahandar, and Eyke Hüllermeier. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 15403
Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Superset Losses.” In In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, edited by Eyke Hüllermeier, F. Hoffmann, and R. Mikut, 1–8. KIT Scientific Publishing, 2016.
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2016 | Conference Paper | LibreCat-ID: 15404
Schäfer, D., and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” In In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016.
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2016 | Conference Paper | LibreCat-ID: 15111
Pfannschmidt, Karlson, Eyke Hüllermeier, S. Held, and R. Neiger. “Evaluating Tests in Medical Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.” In In Proceedings IPMU 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 450–61. Springer, 2016.
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2016 | Journal Article | LibreCat-ID: 16041
Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28, no. 6 (2016): 1423–34.
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2016 | Book Chapter | LibreCat-ID: 10214
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb. Springer, 2016.
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2016 | Conference (Editor) | LibreCat-ID: 10221
Hoffmann, F., Eyke Hüllermeier, and R. Mikut, eds. Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany, 2016.
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2016 | Conference Paper | LibreCat-ID: 10222
Jasinska, K., K. Dembczynski, Robert Busa-Fekete, Timo Klerx, and Eyke Hüllermeier. “Extreme F-Measure Maximization Using Sparse Probability Estimates .” In Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, edited by M.F. Balcan and K.Q. Weinberger, 2016.
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2016 | Conference Paper | LibreCat-ID: 10223
Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms, in Proceedings ECML/PKDD-2016.” In European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 756–71, 2016.
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2016 | Conference Paper | LibreCat-ID: 10224
Dembczynski, K., W. Kotlowski, W. Waegeman, Robert Busa-Fekete, and Eyke Hüllermeier. “Consistency of Probalistic Classifier Trees.” In In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 511–26, 2016.
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2016 | Conference Paper | LibreCat-ID: 10225
Shabani, Aulon, Adil Paul, R. Platon, and Eyke Hüllermeier. “Predicting the Electricity Consumption of Buildings: An Improved CBR Approach.” In In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 356–69, 2016.
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2016 | Conference Paper | LibreCat-ID: 10226
Pfannschmidt, Karlson, Eyke Hüllermeier, S. Held, and R. Neiger. “Evaluating Tests in Medical Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.” In In Proceedings IPMU 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 450–61. Springer, 2016.
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2016 | Conference Paper | LibreCat-ID: 10227
Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On the Identifiability of Models in Multi-Criteria Preference Learning .” In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 10228
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 10229
Couso, Ines, Mohsen Ahmadi Fahandar, and Eyke Hüllermeier. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 10230
Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Supersets Losses.” In Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, edited by F. Hoffmann, Eyke Hüllermeier, and R. Mikut, 1–8, 2016.
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2016 | Conference Paper | LibreCat-ID: 10231
Schäfer, Dirk, and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” In In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
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2016 | Conference (Editor) | LibreCat-ID: 10263
Kaminka, G.A., M. Fox, P. Bouquet, Eyke Hüllermeier, V. Dignum, F. Dignum, and F. van Harmelen, eds. ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence. Vol. 285. Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands. The Hague, The Netherlands: IOS Press, 2016.
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2016 | Journal Article | LibreCat-ID: 10264
Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28, no. 6 (2016): 1423–34.
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2016 | Journal Article | LibreCat-ID: 10266
Riemenschneider, M., Robin Senge, U. Neumann, Eyke Hüllermeier, and D. Heider. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.” BioData Mining 9, no. 10 (2016).
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2015 | Journal Article | LibreCat-ID: 4792
Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015): 2024–33. https://doi.org/10.1109/tfuzz.2015.2396078.
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2015 | Conference Paper | LibreCat-ID: 15406
Schäfer, D., and Eyke Hüllermeier. “Preference-Based Meta-Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto, Portugal, 110–11, 2015.
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2015 | Conference Paper | LibreCat-ID: 15749
Paul, Adil, and Eyke Hüllermeier. “A Cbr Approach to the Angry Birds Game.” In In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany, 68–77, 2015.
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2015 | Conference Paper | LibreCat-ID: 15750
Ewerth, R., A. Balz, J. Gehlhaar, K. Dembczynski, and Eyke Hüllermeier. “Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.” In In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany, edited by F. Hoffmann and Eyke Hüllermeier, 235–40. KIT Scientific Publishing, 2015.
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2015 | Conference Paper | LibreCat-ID: 15751
Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.” In In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 97–104. KIT Scientific Publishing, 2015.
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2015 | Journal Article | LibreCat-ID: 16049
Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification .” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015): 2024–33.
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2015 | Journal Article | LibreCat-ID: 16051
Hüllermeier, Eyke. “From Knowledge-Based to Data Driven Fuzzy Modeling: Development, Criticism and Alternative Directions.” Informatik Spektrum 38, no. 6 (2015): 500–509.
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2015 | Journal Article | LibreCat-ID: 16053
Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems 281 (2015): 292–99.
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2015 | Journal Article | LibreCat-ID: 16058
Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier. “On the Bayes-Optimality of F-Measure Maximizers.” Journal of Machine Learning Research 15 (2015): 3313–68.
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2015 | Journal Article | LibreCat-ID: 16067
Shaker, A., and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing 150 (2015): 250–64.
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2015 | Conference Paper | LibreCat-ID: 10234
Hüllermeier, Eyke, and M. Minor. “Case-Based Reasoning Research and Development .” In In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343. Springer, 2015.
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2015 | Conference Paper | LibreCat-ID: 10235
Hoffmann, F., and Eyke Hüllermeier. “Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing,” 2015.
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2015 | Conference Paper | LibreCat-ID: 10236
Abdel-Aziz, A., and Eyke Hüllermeier. “Case Base Maintenance in Preference-Based CBR.” In In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 1–14, 2015.
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2015 | Conference Paper | LibreCat-ID: 10237
Szörényi, B., Robert Busa-Fekete, P. Weng, and Eyke Hüllermeier. “Qualitative Multi-Armed Bandits: A Quantile-Based Approach.” In In Proceedings International Conference on Machine Learning (ICML 2015), 1660–68, 2015.
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2015 | Conference Paper | LibreCat-ID: 10238
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” In In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 227–42, 2015.
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2015 | Conference Paper | LibreCat-ID: 10239
Hüllermeier, Eyke, and W. Cheng. “Superset Learning Based on Generalized Loss Minimization .” In In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 260–75, 2015.
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2015 | Conference Paper | LibreCat-ID: 10240
Henzgen, Sascha, and Eyke Hüllermeier. “Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations.” In In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 422–37, 2015.
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2015 | Conference Paper | LibreCat-ID: 10241
Szörényi, B., Robert Busa-Fekete, Adil Paul, and Eyke Hüllermeier. “Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach.” In In Advances in Neural Information Processing Systems 28 (NIPS 2015), 604–12, 2015.
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2015 | Conference Paper | LibreCat-ID: 10242
Szörényi, B., Robert Busa-Fekete, K. Dembczynski, and Eyke Hüllermeier. “Online F-Measure Optimization.” In In Advances in Neural Information Processing Systems 28 (NIPS 2015), 595–603, 2015.
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2015 | Conference Paper | LibreCat-ID: 10243
El Mesaoudi-Paul, Adil, and Eyke Hüllermeier. “A CBR Approach to the Angry Birds Game.” In In Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 68–77, 2015.
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2015 | Conference Paper | LibreCat-ID: 10244
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), 110–11, 2015.
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2015 | Conference Paper | LibreCat-ID: 10245
Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.” In Proceedings 25. Workshop Computational Intelligence, 97–104, 2015.
LibreCat
2015 | Conference Paper | LibreCat-ID: 10246
Ewerth, Ralph, A. Balz, J. Gehlhaar, K. Dembczynski, and Eyke Hüllermeier. “Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.” In Proceedings 25. Workshop Computational Intelligence, 235–40, 2015.
LibreCat
2015 | Journal Article | LibreCat-ID: 10319
Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier. “On the Bayes-Optimality of F-Measure Maximizers.” In Journal of Machine Learning Research 15 (2015): 3333–88.
LibreCat
2015 | Journal Article | LibreCat-ID: 10320
Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems 281 (2015): 292–99.
LibreCat
2015 | Journal Article | LibreCat-ID: 10321
Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing 150 (2015): 250–64.
LibreCat
2015 | Journal Article | LibreCat-ID: 10322
Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development, Criticism and Alternative Directions.” Informatik Spektrum 38, no. 6 (2015): 500–509.
LibreCat
2015 | Journal Article | LibreCat-ID: 10323
Garcia-Jimenez, S., U. Bustince, Eyke Hüllermeier, R. Mesiar, N.R. Pal, and A. Pradera. “Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems.” IEEE Transactions on Fuzzy Systems 23, no. 4 (2015): 1259–73.
LibreCat
2015 | Journal Article | LibreCat-ID: 10324
Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning of Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015): 2024–33.
LibreCat
2014 | Journal Article | LibreCat-ID: 16046
Agarwal, M., A. Fallah Tehrani, and Eyke Hüllermeier. “Preference-Based Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria Decision Analysis 22, no. 3–4 (2014).
LibreCat
2014 | Journal Article | LibreCat-ID: 16060
Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics 11, no. 5 (2014): 878–90.
LibreCat
2014 | Journal Article | LibreCat-ID: 16064
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” International Journal of Approximate Reasoning 55, no. 7 (2014): 1519–34.
LibreCat
2014 | Journal Article | LibreCat-ID: 16069
Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems 5 (2014): 175–91.
LibreCat
2014 | Journal Article | LibreCat-ID: 16077
Busa-Fekete, Robert, B. Szörenyi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.
LibreCat
2014 | Journal Article | LibreCat-ID: 16078
Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V. Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations 16, no. 1 (2014): 1–10.
LibreCat
2014 | Journal Article | LibreCat-ID: 16079
Strickert, M., K. Bunte, F.M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.
LibreCat
2014 | Journal Article | LibreCat-ID: 16080
Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” International Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.
LibreCat
2014 | Journal Article | LibreCat-ID: 16082
Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.
LibreCat
2014 | Journal Article | LibreCat-ID: 16083
Donner-Banzhoff, N., J. Haasenritter, Eyke Hüllermeier, A. Viniol, S. Bösner, and A. Becker. “The Comprehensive Diagnostic Study Is Suggested as a Design to Model the Diagnostic Process.” Journal of Clinical Epidemiology 2, no. 67 (2014): 124–32.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10247
Busa-Fekete, Robert, B. Szörényi, and Eyke Hüllermeier. “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.” In Proceedings AAAI 2014, Quebec, Canada, 1701–7, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10248
Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online Learning with Bandit Algorithms.” In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 18–39, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10249
Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” In Proceedings Discovery Science, Bled,Slovenia , 123–34, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10250
Fallah Tehrani, A., M. Strickert, and Eyke Hüllermeier. “The Choquet Kernel for Monotone Data.” In Proceedings ESANN , Bruges, Belgium, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz, A., M. Strickert, and Eyke Hüllermeier. “Learning Solution Similarity in Preference-Based CBR.” In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 17–31, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10253
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 32–33, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10254
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.” In Proceedings, Parts I-III. Lecture Notes in Computer Science, 8724–26. Springer, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz, J., Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott Sanner. “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 4:1–27, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10296
Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.
LibreCat
2014 | Journal Article | LibreCat-ID: 10297
Hoffmann, F., Eyke Hüllermeier, and A. Kroll. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik 62, no. 10 (2014): 685–86.
LibreCat
2014 | Journal Article | LibreCat-ID: 10298
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery 28, no. 5–6 (2014): 1129–33.
LibreCat
2014 | Journal Article | LibreCat-ID: 10299
Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems 5, no. 3 (2014): 175–91.
LibreCat
2014 | Journal Article | LibreCat-ID: 10308
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1519–34.
LibreCat
2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1609–13.
LibreCat
2014 | Journal Article | LibreCat-ID: 10310
Strickert, M., K. Bunte, F.- M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.
LibreCat
2014 | Journal Article | LibreCat-ID: 10311
Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.
LibreCat
2014 | Journal Article | LibreCat-ID: 10312
Mernberger, M., M. Moog, S. Stork, S. Zauner, U.G. Maier, and Eyke Hüllermeier. “Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational Biology 12, no. 1 (2014).
LibreCat
2014 | Journal Article | LibreCat-ID: 10313
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning 97, no. 1–2 (2014): 1–3.
LibreCat
2014 | Journal Article | LibreCat-ID: 10314
Busa-Fekete, Robert, B. Szörényi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.
LibreCat
2014 | Journal Article | LibreCat-ID: 10315
Montanés, E., Robin Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, and Eyke Hüllermeier. “Dependent Binary Relevance Models for Multi-Label Classification.” Pattern Recognition 47, no. 3 (2014): 1494–1508.
LibreCat
2014 | Journal Article | LibreCat-ID: 10316
Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V. Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations 16, no. 1 (2014): 1–10.
LibreCat
2014 | Journal Article | LibreCat-ID: 10317
Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 5 (2014): 878–90.
LibreCat
2014 | Journal Article | LibreCat-ID: 10318
Stock, M., T. Fober, Eyke Hüllermeier, S Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, and W. Wageman. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 6 (2014): 1157–69.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15752
Cheng, W., S. Henzgen, and Eyke Hüllermeier. “Labelwise versus Pairwise Decomposition in Label Ranking.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 129–36, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15753
Senge, Robin, J. del Coz, and Eyke Hüllermeier. “Rectifying Classifier Chains for Multi-Label Classification, Bamberg, Germany.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 151–58, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15755
Busa-Fekete, Robert, T. Fober, and Eyke Hüllermeier. “Preference-Based Evolutionary Optimization Using Generalized Racing Algorithms.” In In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 237–46. KIT Scientific Publishing, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15756
Henzgen, S., and Eyke Hüllermeier. “Weighted Rank Correlation Measures Based on Fuzzy Order Relations.” In In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 227–36. KIT Scientific Publishing, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15757
Weng, P., Robert Busa-Fekete, and Eyke Hüllermeier. “Interactive Q-Learning with Ordinal Rewards and Unreliable Tutor.” In In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15758
Busa-Fekete, Robert, B. Szörenyi, P. Weng, and Eyke Hüllermeier. “Preference-Based Evolutionary Direct Policy Search.” In In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15759
Cheng, W., and Eyke Hüllermeier. “A Nearest Neigbor Approach to Label Ranking Based on Generalized Labelwise Loss Minimization.” In In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15760
Shaker, Ammar, and Eyke Hüllermeier. “Event History Analysis on Data Streams: An Application to Earthquake Occurence.” In In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, edited by G. Krempl, I. Zliobaite, Y. Wang, and G. Forman, 38–41, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15761
Senge, Robin, J.J. del Coz, and Eyke Hüllermeier. “On the Problem of Error Propagation in Classier Chains for Multi-Label Classification. Data Analysis, Machine Learning and Knowledge Discovery.” In In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , edited by L. Schmidt-Thieme and M. Spiliopoulou. Springer, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15763
Fober, T., G. Klebe, and Eyke Hüllermeier. “Local Clique Merging: An Extension of the Maximum Common Subgraph Measure with Applications in Structural Bioinformatics, Algorithms from and for Nature and Life.” In In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, edited by B. Lausen, D. Van den Poel, and A. Ultsch, 279–86. Springer, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15112
Fallah Tehrani, A., and Eyke Hüllermeier. “Ordinal Choquistic Regression .” In In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, edited by J. Montero, G. Pasi, and D. Ciucci. Atlantis Press, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15113
Nasiri, N., T. Fober, Robin Senge, and Eyke Hüllermeier. “Fuzzy Pattern Trees as an Alternative to Rule-Based Fuzzy Systems: Knowledge-Driven, Data-Driven and Hybrid Modeling of Colour Yield in Poyester Dyeing, Edmonton, Canada.” In In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 715–21, 2013.
LibreCat
2013 | Journal Article | LibreCat-ID: 16044
Heider, D., Robin Senge, W. Cheng, and Eyke Hüllermeier. “Multilabel Classification for Exploiting Cross-Resistance Information in HIV-1 Drug Resistence Prediction.” Bioinformatics 29, no. 16 (2013): 1946–52.
LibreCat
2013 | Journal Article | LibreCat-ID: 16081
Bösner, S., K. Bönisch, J. Haasenritter , P. Schlegel, Eyke Hüllermeier, and N. Donner-Banzhoff. “Chest Pain in Primary Care: Is the Localization of Pain Diagnostically Helpful in the Critical Evaluation of Patients? A Cross Sectional Study. .” BMC Family Practice 14, no. 1 (2013): 154–62.
LibreCat
2013 | Journal Article | LibreCat-ID: 16086
Haasenritter, J., A. Viniol, A. Becker, S. Bösner, Eyke Hüllermeier, Robin Senge, and N. Donner-Banzhoff. “Diagnose Im Kontext - Eine Erweiterte Perspektive.” Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ) 107 (2013): 585–91.
LibreCat
2013 | Journal Article | LibreCat-ID: 16123
Shaker, A., R. Senge, and Eyke Hüllermeier. “Evolving Fuzzy Pattern Trees for Binary Classification on Data Streams.” Information Sciences 220 (2013): 34–45.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13115
Szarvas, G., Robert Busa-Fekete, and Eyke Hüllermeier. “Learning to Rank Lexical Substitutions.” In In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13116
Dembczynski, K., A. Jachnik, W. Kotlowski, W. Waegeman, and Eyke Hüllermeier. “Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization.” In In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, edited by S. Dasgupta and D. McAllester, 1130–38, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13117
Busa-Fekete, Robert, B. Szoreny, P. Weng, W. Cheng, and Eyke Hüllermeier. “Top-k Selection Based on Adaptive Sampling of Noisy Preferences.” In In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, edited by S. Dasgupta and D. McAllester, 1094–1102, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13118
Hüllermeier, Eyke, and W. Cheng. “Preference-Based CBR: General Ideas and Basic Principles.” In In Proceedings IJCAI-13, 23rd International Joint Conference on Artificial Intelligence, Beijing, China, edited by F. Rossi, 3012–16. AAAI Press, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13119
Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Rule Chains for Visualizing Evolving Fuzzy Rule-Based Systems.” In In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, edited by R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, and A. Zolnierek, 279–88. Springer, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13190
Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams.” In In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, edited by R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, and A. Zolnierek, 289–98. Springer, 2013.
LibreCat
2012 | Conference Paper | LibreCat-ID: 15299
Leinweber, M., L. Baumgärtner, M. Mernberger, T. Fober, Eyke Hüllermeier, G. Klebe, and B. Freisleben. “GPU-Based Cloud Computing for Comparing the Structure of Protein Binding Sites.” In In Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione D`Italia, Italy, 2012.
LibreCat
2012 | Book Chapter | LibreCat-ID: 15396
Hüllermeier, Eyke, and A. Fallah Tehrani. “Efficient Learning of Classifiers Based on the 2-Additive Choquet Integral.” In Computational Intelligence in Intelligent Data Analysis, edited by C. Moewes and A. Nürnberger, 17–30. Studies in Computational Intelligence. Springer, 2012.
LibreCat
2012 | Conference Paper | LibreCat-ID: 15754
Bräuning, M., and Eyke Hüllermeier. “Learning Conditional Lexicographic Preference Trees.” In In Workshops on Preference Learning at ECAI, European Conference on Artiticial Intelligence, Montpellier, France, 2012.
LibreCat
2012 | Conference Paper | LibreCat-ID: 15114
Hüllermeier, Eyke, and A. Fallah Tehrani. “On the VC Dimension of the Choquet Integral.” In In Proceedings IPMU-2012 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
LibreCat
2012 | Journal Article | LibreCat-ID: 16084
Fallah Tehrani, A., W. Cheng, K. Dembczynski, and Eyke Hüllermeier. “Learning Monotone Nonlinear Models Using the Choquet Integral.” Machine Learning 89, no. 1 (2012): 183–211.
LibreCat
2012 | Journal Article | LibreCat-ID: 16085
Bustince, H., M. Pagola, R. Mesiar, Eyke Hüllermeier, and F. Herrera. “Grouping, Overlap and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons.” IEEE Transactions on Fuzzy Systems 20, no. 3 (2012): 405–15.
LibreCat
2012 | Journal Article | LibreCat-ID: 16087
Fürnkranz, J., Eyke Hüllermeier, W. Cheng, and S.H. Park. “Preference-Based Reinforcement Learning: A Formal Framework and a Policy Iteration Algorithm.” Machine Learning 89, no. 1 (2012): 123–56.
LibreCat
2012 | Journal Article | LibreCat-ID: 16088
Dembczynski, K., W. Waegeman, W. Cheng, and Eyke Hüllermeier. “On Label Dependence and Loss Minimization in Multi-Label Classification.” Machine Learning 88, no. 1–2 (2012): 5–45.
LibreCat
2012 | Journal Article | LibreCat-ID: 16089
Shaker, Ammar, and Eyke Hüllermeier. “IBL Streams: A System for Instance-Based Classification and Regression on Data Streams.” Evolving Systems 3, no. 4 (2012): 235–49.
LibreCat
2012 | Journal Article | LibreCat-ID: 16090
Dolorez Ruiz, M., and Eyke Hüllermeier. “A Formal and Empirical Analysis of the Fuzzy Gamma Rank Correlation Coefficient.” Information Sciences 206 (2012): 1–17.
LibreCat
2012 | Journal Article | LibreCat-ID: 16091
Fallah Tehrani, A., W. Cheng, and Eyke Hüllermeier. “Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking.” IEEE Transactions on Fuzzy Systems 20, no. 6 (2012): 1102–13.
LibreCat
2012 | Journal Article | LibreCat-ID: 16092
Fober, T., M. Mernberger, G. Klebe, and Eyke Hüllermeier. “Fingerprint Kernels for Protein Structure Comparison.” Molecular Informatics 31, no. 6–7 (2012): 443–52.
LibreCat
2012 | Journal Article | LibreCat-ID: 16093
Hüllermeier, Eyke, M. Rifqi, Sascha Henzgen, and Robin Senge. “Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures.” IEEE Transactions on Fuzzy Systems 20, no. 3 (2012): 546–56.
LibreCat
2012 | Journal Article | LibreCat-ID: 16094
Senge, Robin, T. Fober, N. Nasiri, and Eyke Hüllermeier. “Fuzzy Pattern Trees: Ein Alternativer Ansatz Zur Fuzzy-Modellierung.” At-Atomatisierungstechnik 60, no. 10 (2012): 622–29.
LibreCat
2012 | Conference Paper | LibreCat-ID: 13120
Cheng, W., Eyke Hüllermeier, W. Waegeman, and V. Welker. “Label Ranking with Partial Abstention Based on Thresholded Probalistic Models.” In In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.
LibreCat
2012 | Conference Paper | LibreCat-ID: 13191
Cheng, W., and Eyke Hüllermeier. “Probability Estimation for Mulit-Class Classification Based on Label Ranking.” In Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.
LibreCat
2012 | Conference Paper | LibreCat-ID: 13192
Dembczynski, K., W. Kotlowski, and Eyke Hüllermeier. “Consistent Multilabel Ranking through Univariate Loss Minimization.” In In Proceedings ICML-2012, International Conference on Machine Learning, Edinburgh, Scotland, edited by J. Langford and J. Pineau, 2012.
LibreCat
2012 | Conference Paper | LibreCat-ID: 13193
Dembczynski, K., W. Waegeman, and Eyke Hüllermeier. “An Analysis of Chaining in Multi-Label Classification.” In In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , 294–99. IOS Press, 2012.
LibreCat
2012 | Book Chapter | LibreCat-ID: 10153
Hüllermeier, Eyke. “Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies.” In Combining Experimentation and Theory, edited by E. Trillas, P.P. Bonissone, L. Magdalena, and J. Kacprzyk, 271:123–35. Studies in Fuzziness and Soft Computing. Springer, 2012.
LibreCat
2011 | Conference Paper | LibreCat-ID: 15762
Dembczynski, K., W. Waegeman, and Eyke Hüllermeier. “Joint Mode Estimation in Multi-Label Classification by Chaining.” In In Proceedings ECML Workshop on Collective Inference and Learning on Structured Data, Athens, Greece, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 15764
Mernberger, M., D. Moog, S. Stork, S. Zauner, U. Maier, and Eyke Hüllermeier. “Prediction of Protein Localization for Specialized Compartments Using Time Series Kernels.” In In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 15115
Nasiri, M., Eyke Hüllermeier, Robin Senge, and E. Lughofer. “Comparing Methods for Knowledge-Driven and Data-Driven Fuzzy Modeling: A Case Study in Textile Industry.” In In Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, RW-103-1-6, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 15116
Lughofer, E., and Eyke Hüllermeier. “On-Line Redundancy Deletion in Evolving Fuzzy Regression Models Using a Fuzzy Inclusion Measure.” In In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, edited by S. Galichet, J. Montero, and G. Mauris, 380–87, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 15117
Fallah Tehrani, A., W. Cheng, and Eyke Hüllermeier. “Choquistic Regression: Generalizing Logistic Regression Using the Choquet Integral.” In In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 868–75, 2011.
LibreCat
2011 | Journal Article | LibreCat-ID: 16119
Hirsch, O., S. Bösner, Eyke Hüllermeier, R. Senge, K. Dembczynski, and N. Donner-Banzhoff. “Multivariate Modeling to Identify Patterns in Clinical Data: The Example of Chest Pain.” BMC Medical Research Methodology 11, no. 155 (2011).
LibreCat
2011 | Journal Article | LibreCat-ID: 16126
Domshlak, C., Eyke Hüllermeier, S. Kaci, and H. Prade. “Preferences in AL: An Overview.” Artificial Intelligence 175, no. 7–8 (2011): 1037–52.
LibreCat
2011 | Journal Article | LibreCat-ID: 16147
Hüllermeier, Eyke. “Fuzzy Machine Learning and Data Mining.” WIREs Data Mining and Knowledge Discovery 1, no. 4 (2011): 269–83.
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2011 | Journal Article | LibreCat-ID: 16148
Mernberger, M., G. Klebe, and Eyke Hüllermeier. “SEGA: Semi-Global Graph Alignment for Structure-Based Protein Comparison.” IEEE/ACM Transactions of Computational Biology and Bioinformatics 8, no. 5 (2011): 1330–43.
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2011 | Journal Article | LibreCat-ID: 16149
Fober, T., S. Glinca, G. Klebe, and Eyke Hüllermeier. “Superposition and Alignment of Labeled Point Clouds.” IEEE/ACM Transactions on Computational Biology and Bioinformatics 8, no. 6 (2011): 1653–66.
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2011 | Journal Article | LibreCat-ID: 16150
Hüllermeier, Eyke. “Fuzzy Sets in Machine Learning and Data Mining.” Applied Soft Computing Journal, 2011, 1493–1505.
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2011 | Journal Article | LibreCat-ID: 16153
Senge, Robin, and Eyke Hüllermeier. “Top-down Induction of Fuzzy Pattern Trees.” IEEE Transactions on Fuzzy Systems 19, no. 2 (2011): 241–52.
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2011 | Conference Paper | LibreCat-ID: 13194
Dembczynski, K., W. Waegeman, W. Cheng, and Eyke Hüllermeier. “An Exact Algorithm for F-Measure Maximization.” In In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
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2011 | Conference Paper | LibreCat-ID: 13195
Cheng, W., J. Fuernkranz, Eyke Hüllermeier, and S.H. Park. “Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning.” In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, , 2011.
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2011 | Conference Paper | LibreCat-ID: 13196
Fürnkranz, J., and Eyke Hüllermeier. “Learning from Label Preferences.” In In Proceedings DS-2011, 14th International Conference on Discovery Science, Number 6926 in LNAI, edited by T. Elomaa, J. Hollmen, and H. Mannila, 2–17. Springer, 2011.
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2011 | Conference Paper | LibreCat-ID: 13197
Fallah Tehrani, A., W. Cheng, K. Dembczynski, and Eyke Hüllermeier. “Learning Monotone Nonlinear Models Using the Choquet Integral.” In In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
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2011 | Conference Paper | LibreCat-ID: 13198
Hüllermeier, Eyke, and P. Schlegel. “Preference-Based CBR: First Steps toward a Methodological Framework.” In In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, Number 6880 in LNAI, edited by A. Ram and N. Wiratunga, 77–91. Springer, 2011.
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2011 | Conference Paper | LibreCat-ID: 13588
Kotlowski, W., K. Dembczynski, and Eyke Hüllermeier. “Bipartite Ranking through Minimization of Univariate Loss.” In In Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
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2010 | Book Chapter | LibreCat-ID: 15297
Hüllermeier, Eyke, and J. Hühn. “An Analysis of the FURIA Algorithm for Fuzzy Rule Induction.” In Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, edited by J. Koronacki, Z.W. Ras, S.T. Wierzchon, and J. Kacprzyk, 262:321–44. Studies in Computational Intelligence. Springer, 2010.
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2010 | Book Chapter | LibreCat-ID: 15298
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning: An Introduction.” In Preference Learning, edited by J. Fürnkranz and Eyke Hüllermeier, 1–18. Springer, 2010.
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2010 | Conference Paper | LibreCat-ID: 15765
Fober, T., M. Mernberger, G. Klebe, and Eyke Hüllermeier. “Efficient Similarity Retrieval for Protein Binding Sites Based on Histogram Comparison.” In In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 51–60, 2010.
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2010 | Conference Paper | LibreCat-ID: 15772
Dembczynski, K., W. Waegeman, W. Cheng, and Eyke Hüllermeier. “On Label Dependence in Multi-Label Classification.” In In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.
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2010 | Conference Paper | LibreCat-ID: 15118
Fober, T., and Eyke Hüllermeier. “Similarity Measures for Protein Structures Based on Fuzzy Histogram Comparison.” In In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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2010 | Conference Paper | LibreCat-ID: 15119
Senge, Robin, and Eyke Hüllermeier. “Pattern Trees for Regression and Fuzzy Systems Modeling.” In In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
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2010 | Journal Article | LibreCat-ID: 16121
Pfeffer, P., T. Fober, Eyke Hüllermeier, and G. Klebe. “GARLig: A Fully Automated Tool for Subset Selection of Large Fragment Spaces via a Self-Adaptive Genetic Algorithm.” Journal of Chemical Information and Modeling 50, no. 9 (2010): 1644–59.
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2010 | Journal Article | LibreCat-ID: 16151
Hüllermeier, Eyke, and S. Vanderlooy. “Combining Predictions in Pairwise Classification: An Optimal Adaptive Voting Strategy and Its Relation to Weighted Voting.” Pattern Recognition 43, no. 1 (2010): 128–42.
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2010 | Journal Article | LibreCat-ID: 16152
Hüllermeier, Eyke, and J. Fürnkranz. “On Predictive Accuracy and Risk Minimization in Pairwise Label Ranking.” Journal of Computer and System Sciences 76, no. 1 (2010): 49–62.
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2010 | Conference Paper | LibreCat-ID: 13589
Dembczynski, K., W. Cheng, and Eyke Hüllermeier. “Bayes Optimal Multilabel Classification via Probalistic Classifier Chains.” In In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, edited by J. Fürnkranz and T. Joachims, 279–86, 2010.
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2010 | Conference Paper | LibreCat-ID: 13590
Cheng, W., K. Dembczynski, and Eyke Hüllermeier. “Label Ranking Based on the Plackett-Luce Model.” In In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, edited by J. Fürnkranz and T. Joachims, 215–22, 2010.
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2010 | Conference Paper | LibreCat-ID: 13591
Cheng, W., K. Dembczynski, and Eyke Hüllermeier. “Graded Multi-Label Classification: The Ordinal Case.” In In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, edited by J. Fürnkranz and T. Joachims, 2010.
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2010 | Conference Paper | LibreCat-ID: 13593
Dembczynski, K., W. Waegeman, W. Cheng, and Eyke Hüllermeier. “Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss.” In In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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2010 | Conference Paper | LibreCat-ID: 13594
Cheng, W., M. Rademaker, B. De Beats, and Eyke Hüllermeier. “Predicting Partial Orders: Ranking with Abstention.” In In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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2010 | Conference Paper | LibreCat-ID: 13597
Hüllermeier, Eyke. “Uncertainty in Clustering and Classification .” In In Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , 6379:16–19. Springer, 2010.
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2009 | Conference Paper | LibreCat-ID: 15773
Cheng, W., and Eyke Hüllermeier. “A Simple Instance-Based Approach to Multilabel Classification Using the Mallows Model.” In In Proceedings MLD-2009 1st International Workshop on Learning from Multi-Label Data, Bled, Slovenia, 28–38, 2009.
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2009 | Conference Paper | LibreCat-ID: 15774
Senge, Robin, and Eyke Hüllermeier. “Learning Pattern Tree Classifiers Using a Co-Evolutionary Algorithm.” In In Proceedings 19th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 22–33. KIT Scientific Publishing, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15775
Fober, T., M. Mernberger, R. Moritz, and Eyke Hüllermeier. “Graph-Kernels for the Comparative Analysis of Protein Active Sites.” In In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany, edited by I. Grosse, S. Neumann, S. Posch, F. Schreiber, and P.. Stadler, 21–31, 2009.
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2009 | Conference Paper | LibreCat-ID: 15776
Senge, Robin, and Eyke Hüllermeier. “Learning Pattern Tree Classifiers Using a Co-Evolutionary Algorithm.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 105–10, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15778
Fober, T., M. Mernberger, Vitaly Melnikov, R. Moritz, and Eyke Hüllermeier. “Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 30–36, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15120
Fober, T., G. Klebe, and Eyke Hüllermeier. “Efficient Construction of Multiple Geometrical Alignments for the Comparison of Protein Binding Sites.” In In Proceedings ISDA-2009, 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy, 1251–56, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15194
Boukhris, I., Z. Elouedi, T. Fober, M. Mernberger, and Eyke Hüllermeier. “Similarity Analysis of Protein Binding Sites: A Generalization of the Maximum Common Subgraph Measure Based on Quasi-Clique Detection.” In In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy, 1245–50, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15195
Fober, T., and Eyke Hüllermeier. “Fuzzy Modeling of Labeled Point Cloud Superposition for the Comparison of Protein Binding Sites.” In In Proceedings IFSA / EUSFLAT-2009 World Congress of the Fuzzy Systems Association, Lissabon, Portugal, 1299–1304, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15196
Hüllermeier, Eyke, and M. Rifqi. “A Fuzzy Variant of the Rand Index for Comparing Clustering Structures.” In In Proceedings IFSA / EUSFLAT-2009 World Congress of the Fuzzy Systems Association, Lissabon, Portugal, 1294–98, 2009.
LibreCat
2009 | Journal Article | LibreCat-ID: 16154
Weskamp, N., Eyke Hüllermeier, and G. Klebe. “Merging Chemical and Biological Space: Structural Mapping of Enzyme Binding Pocket Space.” Proteins 76, no. 2 (2009): 317–30.
LibreCat
2009 | Journal Article | LibreCat-ID: 16158
Hühn, J., and Eyke Hüllermeier. “FURIA: An Algorithm for Unordered Fuzzy Rule Induction.” Data Mining and Knowledge Discovery 19 (2009): 293–319.
LibreCat
2009 | Journal Article | LibreCat-ID: 16159
Hüllermeier, Eyke, and S. Vanderlooy. “Why Fuzzy Decision Trees Are Good Rankers.” IEEE Transactions on Fuzzy Systems 17, no. 6 (2009): 1233–44.
LibreCat
2009 | Journal Article | LibreCat-ID: 16160
Cheng, W., and Eyke Hüllermeier. “Combining Instance-Based Learning and Logistic Regression for Multilabel Classification.” Machine Learning 76, no. 2–3 (2009): 211–25.
LibreCat
2009 | Journal Article | LibreCat-ID: 16161
Yi, Y., T. Fober, and Eyke Hüllermeier. “Fuzzy Operator Trees for Modeling Rating Functions.” International Journal of Computational Intelligence and Applications 8, no. 4 (2009): 413–28.
LibreCat
2009 | Journal Article | LibreCat-ID: 16162
Fober, T., M. Mernberger, G. Klebe, and Eyke Hüllermeier. “Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.” Bioinformatics 25, no. 16 (2009): 2110–17.
LibreCat
2009 | Journal Article | LibreCat-ID: 16163
Hühn, J., and Eyke Hüllermeier. “FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers.” IEEE Transactions on Fuzzy Systems 17, no. 1 (2009): 138–49.
LibreCat
2009 | Journal Article | LibreCat-ID: 16165
Hüllermeier, Eyke, I. Vladimirskiy, B. Prados Suarez, and E. Stauch. “Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions.” Künstliche Intelligenz 1, no. 09 (2009): 24–29.
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448 Publications
2024 | Journal Article | LibreCat-ID: 53073
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.” Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 13 (2024): 14388–96. https://doi.org/10.1609/aaai.v38i13.29352.
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| DOI
2024 | Journal Article | LibreCat-ID: 54911
Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.
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| DOI
2024 | Journal Article | LibreCat-ID: 54910
Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.
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2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, Patrick, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions through Stratification.” In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, edited by Sanjoy Dasgupta, Stephan Mandt, and Yingzhen Li, 238:3520–3528. Proceedings of Machine Learning Research. PMLR, 2024.
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2024 | Journal Article | LibreCat-ID: 54907
Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.
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2024 | Conference Paper | LibreCat-ID: 57645
Heid, Stefan, Jaroslaw Kornowicz, Jonas Manuel Hanselle, Eyke Hüllermeier, and Kirsten Thommes. “Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems.” In PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 21:233, 2024.
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2024 | Conference Paper | LibreCat-ID: 55631
Javanmardi, Alireza, Osarenren Kennedy Aimiyekagbon, Amelie Bender, James Kuria Kimotho, Walter Sextro, and Eyke Hüllermeier. “Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions.” In PHM Society European Conference, Vol. 8. PHM Society, 2024. https://doi.org/10.36001/phme.2024.v8i1.4101.
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2023 | Conference Paper | LibreCat-ID: 51373
Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In 26th International Conference on Discovery Science , 14050:189–203. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.
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2023 | Conference Paper | LibreCat-ID: 52230
Fumagalli, Fabian, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, and Barbara Hammer. “SHAP-IQ: Unified Approximation of Any-Order Shapley Interactions.” In NeurIPS 2023 - Advances in Neural Information Processing Systems, 36:11515--11551. Curran Associates, Inc., 2023.
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2023 | Book Chapter | LibreCat-ID: 54613
Hanselle, Jonas Manuel, Eyke Hüllermeier, Felix Mohr, Axel-Cyrille Ngonga Ngomo, Mohamed Sherif, Alexander Tornede, and Marcel Dominik Wever. “Configuration and Evaluation.” In On-The-Fly Computing – Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:85–104. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068466.
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2023 | Book Chapter | LibreCat-ID: 54909
Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In Discovery Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.
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2023 | Preprint | LibreCat-ID: 44512 |
Uhlemeyer, Svenja, Julian Lienen, Eyke Hüllermeier, and Hanno Gottschalk. “Detecting Novelties with Empty Classes.” ArXiv:2305.00983, 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 31880 |
Nguyen, Duc Anh, Ron Levie, Julian Lienen, Gitta Kutyniok, and Eyke Hüllermeier. “Memorization-Dilation: Modeling Neural Collapse Under Noise.” In International Conference on Learning Representations, ICLR, 2023.
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2023 | Book Chapter | LibreCat-ID: 45884 |
Hanselle, Jonas Manuel, Eyke Hüllermeier, Felix Mohr, Axel-Cyrille Ngonga Ngomo, Mohamed Sherif, Alexander Tornede, and Marcel Dominik Wever. “Configuration and Evaluation.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:85–104. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068466.
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2023 | Book Chapter | LibreCat-ID: 45886 |
Wehrheim, Heike, Eyke Hüllermeier, Steffen Becker, Matthias Becker, Cedric Richter, and Arnab Sharma. “Composition Analysis in Unknown Contexts.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:105–23. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068510.
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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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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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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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2021 | Journal Article | LibreCat-ID: 21636
Lienen, Julian, and Eyke Hüllermeier. “Instance Weighting through Data Imprecisiation.” International Journal of Approximate Reasoning, 2021.
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2021 | Conference Paper | LibreCat-ID: 21637 |
Lienen, Julian, and Eyke Hüllermeier. “From Label Smoothing to Label Relaxation.” In Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI, 35:8583–91. AAAI Press, 2021.
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2021 | Conference Paper | LibreCat-ID: 23779
Bernijazov, Ruslan, Alexander Dicks, Roman Dumitrescu, Marc Foullois, Jonas Manuel Hanselle, Eyke Hüllermeier, Gökce Karakaya, et al. “A Meta-Review on Artificial Intelligence in Product Creation.” In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2021.
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2021 | Conference Paper | LibreCat-ID: 22280
Lienen, Julian, Eyke Hüllermeier, Ralph Ewerth, and Nils Nommensen. “Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 14595–604, 2021.
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2021 | Preprint | LibreCat-ID: 22509 |
Lienen, Julian, and Eyke Hüllermeier. “Credal Self-Supervised Learning.” ArXiv:2106.11853, 2021.
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2021 | Conference Paper | LibreCat-ID: 22913
Hüllermeier, Eyke, Felix Mohr, Alexander Tornede, and Marcel Dominik Wever. “Automated Machine Learning, Bounded Rationality, and Rational Metareasoning,” 2021.
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2021 | Conference Paper | LibreCat-ID: 27381
Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.” In Proceedings of The 24th International Conference on Discovery Science (DS 2021), edited by Carlos Soares and Luis Torgo, 12986:166–80. Lecture Notes in Computer Science. Springer, 2021. https://doi.org/10.1007/978-3-030-88942-5.
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| arXiv
2021 | Conference Paper | LibreCat-ID: 21198
Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” PAKDD, 2021.
LibreCat
2021 | Book Chapter | LibreCat-ID: 29292 |
Feldhans, Robert, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, and Eyke Hüllermeier. “Drift Detection in Text Data with Document Embeddings.” In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-91608-4_11.
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2021 | Journal Article | LibreCat-ID: 24456 |
Rohlfing, Katharina J., Philipp Cimiano, Ingrid Scharlau, Tobias Matzner, Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.” IEEE Transactions on Cognitive and Developmental Systems 13, no. 3 (2021): 717–28. https://doi.org/10.1109/tcds.2020.3044366.
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2021 | Working Paper | LibreCat-ID: 45616
Straaten, Dirk van, Vitalik Melnikov, Eyke Hüllermeier, Behnud Mir Djawadi, and René Fahr. Accounting for Heuristics in Reputation Systems: An Interdisciplinary Approach on Aggregation Processes. Vol. 72. Working Papers Dissertations, 2021.
LibreCat
2020 | Preprint | LibreCat-ID: 19603 |
Bode, Henrik, Stefan Helmut Heid, Daniel Weber, Eyke Hüllermeier, and Oliver Wallscheid. “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” ArXiv:2005.04869, 2020.
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2020 | Conference Paper | LibreCat-ID: 19953 |
Damke, Clemens, Vitaly Melnikov, and Eyke Hüllermeier. “A Novel Higher-Order Weisfeiler-Lehman Graph Convolution.” In Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020), edited by Sinno Jialin Pan and Masashi Sugiyama, 129:49–64. Proceedings of Machine Learning Research. Bangkok, Thailand: PMLR, 2020.
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| arXiv
2020 | Preprint | LibreCat-ID: 20211 |
Lienen, Julian, and Eyke Hüllermeier. “Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model.” ArXiv:2010.13118, 2020.
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2020 | Conference Paper | LibreCat-ID: 24146
Heid, Stefan Helmut, Arunselvan Ramaswamy, and Eyke Hüllermeier. “Constrained Multi-Agent Optimization with Unbounded Information Delay.” In Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020, 26:247, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 17407
Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Extreme Algorithm Selection with Dyadic Feature Representation.” In Discovery Science, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 17408
Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Hybrid Ranking and Regression for Algorithm Selection.” In KI 2020: Advances in Artificial Intelligence, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 17424
Tornede, Tanja, Alexander Tornede, Marcel Dominik Wever, Felix Mohr, and Eyke Hüllermeier. “AutoML for Predictive Maintenance: One Tool to RUL Them All.” In Proceedings of the ECMLPKDD 2020, 2020. https://doi.org/10.1007/978-3-030-66770-2_8.
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| DOI
2020 | Preprint | LibreCat-ID: 17605 |
Heid, Stefan Helmut, Marcel Dominik Wever, and Eyke Hüllermeier. “Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction.” Journal of Data Mining and Digital Humanities. episciences, n.d.
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2020 | Conference Paper | LibreCat-ID: 20306
Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Towards Meta-Algorithm Selection.” In Workshop MetaLearn 2020 @ NeurIPS 2020, 2020.
LibreCat
2020 | Book Chapter | LibreCat-ID: 18014
El Mesaoudi-Paul, Adil, Dimitri Weiß, Viktor Bengs, Eyke Hüllermeier, and Kevin Tierney. “Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach.” In Learning and Intelligent Optimization. LION 2020., 12096:216–32. Lecture Notes in Computer Science. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-53552-0_22.
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| DOI
2020 | Preprint | LibreCat-ID: 18017
El Mesaoudi-Paul, Adil, Viktor Bengs, and Eyke Hüllermeier. “Online Preselection with Context Information under the Plackett-Luce Model.” ArXiv:2002.04275, n.d.
LibreCat
2020 | Conference Paper | LibreCat-ID: 18276
Tornede, Alexander, Marcel Dominik Wever, Stefan Werner, Felix Mohr, and Eyke Hüllermeier. “Run2Survive: A Decision-Theoretic Approach to Algorithm Selection Based on Survival Analysis.” In ACML 2020, 2020.
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2020 | Journal Article | LibreCat-ID: 16725
Richter, Cedric, Eyke Hüllermeier, Marie-Christine Jakobs, and Heike Wehrheim. “Algorithm Selection for Software Validation Based on Graph Kernels.” Journal of Automated Software Engineering, n.d.
LibreCat
2020 | Conference Paper | LibreCat-ID: 15629
Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification.” Springer, n.d.
LibreCat
2019 | Conference Abstract | LibreCat-ID: 8868
Wever, Marcel Dominik, Felix Mohr, Eyke Hüllermeier, and Alexander Hetzer. “Towards Automated Machine Learning for Multi-Label Classification,” 2019.
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| Files available
2019 | Journal Article | LibreCat-ID: 10578
Tagne, V. K., S. Fotso, L. A. Fono, and Eyke Hüllermeier. “Choice Functions Generated by Mallows and Plackett–Luce Relations.” New Mathematics and Natural Computation 15, no. 2 (2019): 191–213.
LibreCat
2019 | Journal Article | LibreCat-ID: 15001
Couso, Ines, Christian Borgelt, Eyke Hüllermeier, and Rudolf Kruse. “Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning.” IEEE Computational Intelligence Magazine, 2019, 31–44. https://doi.org/10.1109/mci.2018.2881642.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 15002 |
Waegeman, Willem, Krzysztof Dembczynski, and Eyke Hüllermeier. “Multi-Target Prediction: A Unifying View on Problems and Methods.” Data Mining and Knowledge Discovery 33, no. 2 (2019): 293–324. https://doi.org/10.1007/s10618-018-0595-5.
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| DOI
2019 | Conference Paper | LibreCat-ID: 15003
Mortier, Thomas, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, and Willem Waegeman. “Set-Valued Prediction in Multi-Class Classification.” In 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, 2019.
LibreCat
2019 | Book Chapter | LibreCat-ID: 15004
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Feature Selection for Analogy-Based Learning to Rank.” In Discovery Science. Cham, 2019. https://doi.org/10.1007/978-3-030-33778-0_22.
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| DOI
2019 | Book Chapter | LibreCat-ID: 15005
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Analogy-Based Preference Learning with Kernels.” In KI 2019: Advances in Artificial Intelligence. Cham, 2019. https://doi.org/10.1007/978-3-030-30179-8_3.
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| DOI
2019 | Book Chapter | LibreCat-ID: 15006
Nguyen, Vu-Linh, Sébastien Destercke, and Eyke Hüllermeier. “Epistemic Uncertainty Sampling.” In Discovery Science. Cham, 2019. https://doi.org/10.1007/978-3-030-33778-0_7.
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| DOI
2019 | Conference Paper | LibreCat-ID: 15007 |
Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.” In Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019. https://doi.org/10.1016/j.jmva.2019.02.017.
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| DOI
2019 | Conference Paper | LibreCat-ID: 15011 |
Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” In Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, edited by Frank Hoffmann, Eyke Hüllermeier, and Ralf Mikut, 135–46. KIT Scientific Publishing, Karlsruhe, 2019.
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2019 | Conference Paper | LibreCat-ID: 15013
Brinker, Klaus, and Eyke Hüllermeier. “A Reduction of Label Ranking to Multiclass Classification.” In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany, 2019.
LibreCat
2019 | Conference Paper | LibreCat-ID: 15014
Hüllermeier, Eyke, Ines Couso, and Sebastian Diestercke. “Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants.” In Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.
LibreCat
2019 | Journal Article | LibreCat-ID: 15015
Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” ACM Transactions on Knowledge Discovery from Data, 2019, 1–36. https://doi.org/10.1145/3363572.
LibreCat
| DOI
2019 | Conference Abstract | LibreCat-ID: 13132
Mohr, Felix, Marcel Dominik Wever, Alexander Tornede, and Eyke Hüllermeier. “From Automated to On-The-Fly Machine Learning.” In INFORMATIK 2019: 50 Jahre Gesellschaft Für Informatik – Informatik Für Gesellschaft, 273–74. INFORMATIK 2019, Lecture Notes in Informatics (LNI), Gesellschaft Für Informatik. Bonn: Gesellschaft für Informatik e.V., 2019.
LibreCat
2019 | Conference Paper | LibreCat-ID: 10232 |
Wever, Marcel Dominik, Felix Mohr, Alexander Tornede, and Eyke Hüllermeier. “Automating Multi-Label Classification Extending ML-Plan,” 2019.
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2019 | Journal Article | LibreCat-ID: 20243
Rohlfing, Katharina, Giuseppe Leonardi, Iris Nomikou, Joanna Rączaszek-Leonardi, and Eyke Hüllermeier. “Multimodal Turn-Taking: Motivations, Methodological Challenges, and Novel Approaches.” IEEE Transactions on Cognitive and Developmental Systems, 2019. https://doi.org/10.1109/TCDS.2019.2892991.
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| DOI
2018 | Conference Paper | LibreCat-ID: 2479 |
Mohr, Felix, Marcel Dominik Wever, Eyke Hüllermeier, and Amin Faez. “(WIP) Towards the Automated Composition of Machine Learning Services.” In SCC. San Francisco, CA, USA: IEEE, 2018. https://doi.org/10.1109/SCC.2018.00039.
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2018 | Conference Paper | LibreCat-ID: 2857 |
Mohr, Felix, Theodor Lettmann, Eyke Hüllermeier, and Marcel Dominik Wever. “Programmatic Task Network Planning.” In Proceedings of the 1st ICAPS Workshop on Hierarchical Planning, 31–39. AAAI, 2018.
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2018 | Conference Paper | LibreCat-ID: 2471 |
Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “On-The-Fly Service Construction with Prototypes.” In SCC. San Francisco, CA, USA: IEEE Computer Society, 2018. https://doi.org/10.1109/SCC.2018.00036.
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2018 | Journal Article | LibreCat-ID: 3402
Melnikov, Vitalik, and Eyke Hüllermeier. “On the Effectiveness of Heuristics for Learning Nested Dichotomies: An Empirical Analysis.” Machine Learning, 2018. https://doi.org/10.1007/s10994-018-5733-1.
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| 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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2018 | Conference Paper | LibreCat-ID: 3552 |
Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “Reduction Stumps for Multi-Class Classification.” In Proceedings of the Symposium on Intelligent Data Analysis. ‘s-Hertogenbosch, the Netherlands, n.d. https://doi.org/10.1007/978-3-030-01768-2_19.
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2018 | Conference Paper | LibreCat-ID: 3852 |
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “ML-Plan for Unlimited-Length Machine Learning Pipelines.” In ICML 2018 AutoML Workshop, 2018.
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2018 | Conference Paper | LibreCat-ID: 2109 |
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Ensembles of Evolved Nested Dichotomies for Classification.” In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018. Kyoto, Japan: ACM, 2018. https://doi.org/10.1145/3205455.3205562.
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2018 | Preprint | LibreCat-ID: 17713 |
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Automated Multi-Label Classification Based on ML-Plan.” Arxiv, 2018.
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2018 | Preprint | LibreCat-ID: 17714 |
Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “Automated Machine Learning Service Composition,” 2018.
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2018 | Book Chapter | LibreCat-ID: 6423
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” In Discovery Science, 161–75. Cham: Springer International Publishing, 2018. https://doi.org/10.1007/978-3-030-01771-2_11.
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2018 | Conference (Editor) | LibreCat-ID: 10591
Abiteboul, S., M. Arenas, P. Barceló, M. Bienvenu, D. Calvanese, C. David, R. Hull, et al., eds. Research Directions for Principles of Data Management. Vol. 7, 2018.
LibreCat
2018 | Book Chapter | LibreCat-ID: 10783
Couso, Ines, and Eyke Hüllermeier. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In Frontiers in Computational Intelligence, edited by Sanaz Mostaghim, Andreas Nürnberger, and Christian Borgelt, 31–46. Springer, 2018.
LibreCat
2018 | Journal Article | LibreCat-ID: 16038
Schäfer, D., and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models Based on Joint Feature Representations.” Machine Learning 107, no. 5 (2018): 903–41.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical Reasoning.” In Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI), 2951–58, 2018.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10148
El Mesaoudi-Paul, Adil, Eyke Hüllermeier, and Robert Busa-Fekete. “Ranking Distributions Based on Noisy Sorting.” In Proc. 35th Int. Conference on Machine Learning (ICML), 3469–77. Verlagsschriftenreihe Des Heinz Nixdorf Instituts, Paderborn. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2018.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10149
Hesse, M., J. Timmermann, Eyke Hüllermeier, and Ansgar Trächtler. “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart.” In Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 15–20, 2018.
LibreCat
2018 | Book Chapter | LibreCat-ID: 10152
Mencia, E.Loza, J. Fürnkranz, Eyke Hüllermeier, and M. Rapp. “Learning Interpretable Rules for Multi-Label Classification.” In Explainable and Interpretable Models in Computer Vision and Machine Learning, edited by H. Jair Escalante, S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, and M.A.J. van Gerven, 81–113. The Springer Series on Challenges in Machine Learning. Springer, 2018.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10181
Nguyen, Vu-Linh, Sebastian Destercke, M.-H. Masson, and Eyke Hüllermeier. “Reliable Multi-Class Classification Based on Pairwise Epistemic and Aleatoric Uncertainty.” In Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 5089–95, 2018.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10184
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” In Proc. 21st Int. Conference on Discovery Science (DS), 161–75, 2018.
LibreCat
2018 | Journal Article | LibreCat-ID: 10276
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models Based on Joint Feature Representations.” Machine Learning 107, no. 5 (2018): 903–41.
LibreCat
2018 | Conference Abstract | LibreCat-ID: 1379 |
Seemann, Nina, Michaela Geierhos, Marie-Luis Merten, Doris Tophinke, Marcel Dominik Wever, and Eyke Hüllermeier. “Supporting the Cognitive Process in Annotation Tasks.” In Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, edited by Kerstin Eckart and Dominik Schlechtweg, 2018.
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2018 | Journal Article | LibreCat-ID: 22996
Hesse, Michael, Julia Timmermann, Eyke Hüllermeier, and Ansgar Trächtler. “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart.” Procedia Manufacturing 24 (2018): 15–20.
LibreCat
2017 | Conference Paper | LibreCat-ID: 3325
Melnikov, Vitalik, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” In Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. KIT Scientific Publishing, 2017. https://doi.org/10.5445/KSP/1000074341.
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2017 | Conference Paper | LibreCat-ID: 71
Czech, Mike, Eyke Hüllermeier, Marie-Christine Jakobs, and Heike Wehrheim. “Predicting Rankings of Software Verification Tools.” In Proceedings of the 3rd International Workshop on Software Analytics, 23–26. SWAN’17, 2017. https://doi.org/10.1145/3121257.3121262.
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| DOI
2017 | Report | LibreCat-ID: 72
Czech, Mike, Eyke Hüllermeier, Marie-Christine Jakobs, and Heike Wehrheim. Predicting Rankings of Software Verification Competitions, 2017.
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| Files available
2017 | Encyclopedia Article | LibreCat-ID: 10589
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, 1000–1005, 2017.
LibreCat
2017 | Book Chapter | LibreCat-ID: 10784
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb, 107:1000–1005. Springer, 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 1180 |
Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization.” In 27th Workshop Computational Intelligence. Dortmund, 2017.
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2017 | Conference Paper | LibreCat-ID: 15397
Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies. A Comparison of Two Heuristics.” In In Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann, Eyke Hüllermeier, and R. Mikut, 1–12. KIT Scientific Publishing, 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 15399
Czech, M., Eyke Hüllermeier, M.C. Jacobs, and Heike Wehrheim. “Predicting Rankings of Software Verification Tools.” In In Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 15110
Couso, Ines, D. Dubois, and Eyke Hüllermeier. “Maximum Likelihood Estimation and Coarse Data.” In In Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, 3–16. Springer, 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 10204
Ewerth, Ralph, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczynski, and Eyke Hüllermeier. “Estimating Relative Depth in Single Images via Rankboost.” In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 919–24, 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 10205
Ahmadi Fahandar, Mohsen, Eyke Hüllermeier, and Ines Couso. “Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening.” In Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 1078–87, 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 10206 |
Mohr, Felix, Theodor Lettmann, and Eyke Hüllermeier. “Planning with Independent Task Networks.” In Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 193–206, 2017. https://doi.org/10.1007/978-3-319-67190-1_15.
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2017 | Conference Paper | LibreCat-ID: 10207
Czech, M., Eyke Hüllermeier, M.-C. Jakobs, and Heike Wehrheim. “Predicting Rankings of Software Verification Tools.” In Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 23–26, 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 10208
Couso, Ines, D. Dubois, and Eyke Hüllermeier. “Maximum Likelihood Estimation and Coarse Data.” In Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 3–16, 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 10209
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical Reasoning.” In Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 10212
Hoffmann, F., Eyke Hüllermeier, and R. Mikut. “(Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017,” 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 10213
Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” In Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 1–12, 2017.
LibreCat
2017 | Conference Paper | LibreCat-ID: 10216
Shaker, Ammar, W. Heldt, and Eyke Hüllermeier. “Learning TSK Fuzzy Rules from Data Streams.” In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
LibreCat
2017 | Journal Article | LibreCat-ID: 10267
Bräuning, M., Eyke Hüllermeier, T. Keller, and M. Glaum. “Lexicographic Preferences for Predictive Modeling of Human Decision Making. A New Machine Learning Method with an Application in Accounting.” European Journal of Operational Research 258, no. 1 (2017): 295–306.
LibreCat
2017 | Journal Article | LibreCat-ID: 10268
Platenius, M.-C., Ammar Shaker, M. Becker, Eyke Hüllermeier, and W. Schäfer. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering 43, no. 8 (2017): 739–59.
LibreCat
2017 | Journal Article | LibreCat-ID: 10269
Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy Rule-Based Systems: A Critical Reflection.” The Computing Research Repository (CoRR), 2017.
LibreCat
2016 | Journal Article | LibreCat-ID: 3318
Melnikov, Vitalik, Eyke Hüllermeier, Daniel Kaimann, Bernd Frick, and Pritha Gupta. “Pairwise versus Pointwise Ranking: A Case Study.” Schedae Informaticae 25 (2016). https://doi.org/10.4467/20838476si.16.006.6187.
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2016 | Journal Article | LibreCat-ID: 190
Platenius, Marie Christin, Ammar Shaker, Matthias Becker, Eyke Hüllermeier, and Wilhelm Schäfer. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017, no. 8 (2016): 739–59. https://doi.org/10.1109/TSE.2016.2632115.
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2016 | Conference Paper | LibreCat-ID: 184
Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.” In Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 756–71. LNCS, 2016. https://doi.org/10.1007/978-3-319-46227-1_47.
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2016 | Encyclopedia Article | LibreCat-ID: 10785
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb. Springer, 2016.
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2016 | Conference Paper | LibreCat-ID: 15400
Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On the Identifiability of Models in Multi-Criteria Preference Learning.” In In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 15401
Schäfer, D., and Eyke Hüllermeier. “Preference -Based Reinforcement Learning Using Dyad Ranking.” In In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 15402
Couso, Ines, Mohsen Ahmadi Fahandar, and Eyke Hüllermeier. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
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2016 | Conference Paper | LibreCat-ID: 15403
Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Superset Losses.” In In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, edited by Eyke Hüllermeier, F. Hoffmann, and R. Mikut, 1–8. KIT Scientific Publishing, 2016.
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2016 | Conference Paper | LibreCat-ID: 15404
Schäfer, D., and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” In In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016.
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2016 | Conference Paper | LibreCat-ID: 15111
Pfannschmidt, Karlson, Eyke Hüllermeier, S. Held, and R. Neiger. “Evaluating Tests in Medical Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.” In In Proceedings IPMU 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 450–61. Springer, 2016.
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2016 | Journal Article | LibreCat-ID: 16041
Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28, no. 6 (2016): 1423–34.
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2016 | Book Chapter | LibreCat-ID: 10214
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb. Springer, 2016.
LibreCat
2016 | Conference (Editor) | LibreCat-ID: 10221
Hoffmann, F., Eyke Hüllermeier, and R. Mikut, eds. Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany, 2016.
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2016 | Conference Paper | LibreCat-ID: 10222
Jasinska, K., K. Dembczynski, Robert Busa-Fekete, Timo Klerx, and Eyke Hüllermeier. “Extreme F-Measure Maximization Using Sparse Probability Estimates .” In Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, edited by M.F. Balcan and K.Q. Weinberger, 2016.
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2016 | Conference Paper | LibreCat-ID: 10223
Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms, in Proceedings ECML/PKDD-2016.” In European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 756–71, 2016.
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2016 | Conference Paper | LibreCat-ID: 10224
Dembczynski, K., W. Kotlowski, W. Waegeman, Robert Busa-Fekete, and Eyke Hüllermeier. “Consistency of Probalistic Classifier Trees.” In In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 511–26, 2016.
LibreCat
2016 | Conference Paper | LibreCat-ID: 10225
Shabani, Aulon, Adil Paul, R. Platon, and Eyke Hüllermeier. “Predicting the Electricity Consumption of Buildings: An Improved CBR Approach.” In In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 356–69, 2016.
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2016 | Conference Paper | LibreCat-ID: 10226
Pfannschmidt, Karlson, Eyke Hüllermeier, S. Held, and R. Neiger. “Evaluating Tests in Medical Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.” In In Proceedings IPMU 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 450–61. Springer, 2016.
LibreCat
2016 | Conference Paper | LibreCat-ID: 10227
Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On the Identifiability of Models in Multi-Criteria Preference Learning .” In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
LibreCat
2016 | Conference Paper | LibreCat-ID: 10228
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
LibreCat
2016 | Conference Paper | LibreCat-ID: 10229
Couso, Ines, Mohsen Ahmadi Fahandar, and Eyke Hüllermeier. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
LibreCat
2016 | Conference Paper | LibreCat-ID: 10230
Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Supersets Losses.” In Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, edited by F. Hoffmann, Eyke Hüllermeier, and R. Mikut, 1–8, 2016.
LibreCat
2016 | Conference Paper | LibreCat-ID: 10231
Schäfer, Dirk, and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” In In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
LibreCat
2016 | Conference (Editor) | LibreCat-ID: 10263
Kaminka, G.A., M. Fox, P. Bouquet, Eyke Hüllermeier, V. Dignum, F. Dignum, and F. van Harmelen, eds. ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence. Vol. 285. Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands. The Hague, The Netherlands: IOS Press, 2016.
LibreCat
2016 | Journal Article | LibreCat-ID: 10264
Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28, no. 6 (2016): 1423–34.
LibreCat
2016 | Journal Article | LibreCat-ID: 10266
Riemenschneider, M., Robin Senge, U. Neumann, Eyke Hüllermeier, and D. Heider. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.” BioData Mining 9, no. 10 (2016).
LibreCat
2015 | Journal Article | LibreCat-ID: 4792
Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015): 2024–33. https://doi.org/10.1109/tfuzz.2015.2396078.
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| Files available
| DOI
2015 | Conference Paper | LibreCat-ID: 15406
Schäfer, D., and Eyke Hüllermeier. “Preference-Based Meta-Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto, Portugal, 110–11, 2015.
LibreCat
2015 | Conference Paper | LibreCat-ID: 15749
Paul, Adil, and Eyke Hüllermeier. “A Cbr Approach to the Angry Birds Game.” In In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany, 68–77, 2015.
LibreCat
2015 | Conference Paper | LibreCat-ID: 15750
Ewerth, R., A. Balz, J. Gehlhaar, K. Dembczynski, and Eyke Hüllermeier. “Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.” In In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany, edited by F. Hoffmann and Eyke Hüllermeier, 235–40. KIT Scientific Publishing, 2015.
LibreCat
2015 | Conference Paper | LibreCat-ID: 15751
Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.” In In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 97–104. KIT Scientific Publishing, 2015.
LibreCat
2015 | Journal Article | LibreCat-ID: 16049
Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification .” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015): 2024–33.
LibreCat
2015 | Journal Article | LibreCat-ID: 16051
Hüllermeier, Eyke. “From Knowledge-Based to Data Driven Fuzzy Modeling: Development, Criticism and Alternative Directions.” Informatik Spektrum 38, no. 6 (2015): 500–509.
LibreCat
2015 | Journal Article | LibreCat-ID: 16053
Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems 281 (2015): 292–99.
LibreCat
2015 | Journal Article | LibreCat-ID: 16058
Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier. “On the Bayes-Optimality of F-Measure Maximizers.” Journal of Machine Learning Research 15 (2015): 3313–68.
LibreCat
2015 | Journal Article | LibreCat-ID: 16067
Shaker, A., and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing 150 (2015): 250–64.
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2015 | Conference Paper | LibreCat-ID: 10234
Hüllermeier, Eyke, and M. Minor. “Case-Based Reasoning Research and Development .” In In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343. Springer, 2015.
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2015 | Conference Paper | LibreCat-ID: 10235
Hoffmann, F., and Eyke Hüllermeier. “Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing,” 2015.
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2015 | Conference Paper | LibreCat-ID: 10236
Abdel-Aziz, A., and Eyke Hüllermeier. “Case Base Maintenance in Preference-Based CBR.” In In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 1–14, 2015.
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2015 | Conference Paper | LibreCat-ID: 10237
Szörényi, B., Robert Busa-Fekete, P. Weng, and Eyke Hüllermeier. “Qualitative Multi-Armed Bandits: A Quantile-Based Approach.” In In Proceedings International Conference on Machine Learning (ICML 2015), 1660–68, 2015.
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2015 | Conference Paper | LibreCat-ID: 10238
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” In In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 227–42, 2015.
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2015 | Conference Paper | LibreCat-ID: 10239
Hüllermeier, Eyke, and W. Cheng. “Superset Learning Based on Generalized Loss Minimization .” In In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 260–75, 2015.
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2015 | Conference Paper | LibreCat-ID: 10240
Henzgen, Sascha, and Eyke Hüllermeier. “Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations.” In In Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 422–37, 2015.
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2015 | Conference Paper | LibreCat-ID: 10241
Szörényi, B., Robert Busa-Fekete, Adil Paul, and Eyke Hüllermeier. “Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach.” In In Advances in Neural Information Processing Systems 28 (NIPS 2015), 604–12, 2015.
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2015 | Conference Paper | LibreCat-ID: 10242
Szörényi, B., Robert Busa-Fekete, K. Dembczynski, and Eyke Hüllermeier. “Online F-Measure Optimization.” In In Advances in Neural Information Processing Systems 28 (NIPS 2015), 595–603, 2015.
LibreCat
2015 | Conference Paper | LibreCat-ID: 10243
El Mesaoudi-Paul, Adil, and Eyke Hüllermeier. “A CBR Approach to the Angry Birds Game.” In In Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 68–77, 2015.
LibreCat
2015 | Conference Paper | LibreCat-ID: 10244
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), 110–11, 2015.
LibreCat
2015 | Conference Paper | LibreCat-ID: 10245
Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.” In Proceedings 25. Workshop Computational Intelligence, 97–104, 2015.
LibreCat
2015 | Conference Paper | LibreCat-ID: 10246
Ewerth, Ralph, A. Balz, J. Gehlhaar, K. Dembczynski, and Eyke Hüllermeier. “Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.” In Proceedings 25. Workshop Computational Intelligence, 235–40, 2015.
LibreCat
2015 | Journal Article | LibreCat-ID: 10319
Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier. “On the Bayes-Optimality of F-Measure Maximizers.” In Journal of Machine Learning Research 15 (2015): 3333–88.
LibreCat
2015 | Journal Article | LibreCat-ID: 10320
Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems 281 (2015): 292–99.
LibreCat
2015 | Journal Article | LibreCat-ID: 10321
Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing 150 (2015): 250–64.
LibreCat
2015 | Journal Article | LibreCat-ID: 10322
Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development, Criticism and Alternative Directions.” Informatik Spektrum 38, no. 6 (2015): 500–509.
LibreCat
2015 | Journal Article | LibreCat-ID: 10323
Garcia-Jimenez, S., U. Bustince, Eyke Hüllermeier, R. Mesiar, N.R. Pal, and A. Pradera. “Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems.” IEEE Transactions on Fuzzy Systems 23, no. 4 (2015): 1259–73.
LibreCat
2015 | Journal Article | LibreCat-ID: 10324
Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning of Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015): 2024–33.
LibreCat
2014 | Journal Article | LibreCat-ID: 16046
Agarwal, M., A. Fallah Tehrani, and Eyke Hüllermeier. “Preference-Based Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria Decision Analysis 22, no. 3–4 (2014).
LibreCat
2014 | Journal Article | LibreCat-ID: 16060
Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics 11, no. 5 (2014): 878–90.
LibreCat
2014 | Journal Article | LibreCat-ID: 16064
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” International Journal of Approximate Reasoning 55, no. 7 (2014): 1519–34.
LibreCat
2014 | Journal Article | LibreCat-ID: 16069
Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems 5 (2014): 175–91.
LibreCat
2014 | Journal Article | LibreCat-ID: 16077
Busa-Fekete, Robert, B. Szörenyi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.
LibreCat
2014 | Journal Article | LibreCat-ID: 16078
Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V. Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations 16, no. 1 (2014): 1–10.
LibreCat
2014 | Journal Article | LibreCat-ID: 16079
Strickert, M., K. Bunte, F.M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.
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2014 | Journal Article | LibreCat-ID: 16080
Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” International Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.
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2014 | Journal Article | LibreCat-ID: 16082
Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.
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2014 | Journal Article | LibreCat-ID: 16083
Donner-Banzhoff, N., J. Haasenritter, Eyke Hüllermeier, A. Viniol, S. Bösner, and A. Becker. “The Comprehensive Diagnostic Study Is Suggested as a Design to Model the Diagnostic Process.” Journal of Clinical Epidemiology 2, no. 67 (2014): 124–32.
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2014 | Conference Paper | LibreCat-ID: 10247
Busa-Fekete, Robert, B. Szörényi, and Eyke Hüllermeier. “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.” In Proceedings AAAI 2014, Quebec, Canada, 1701–7, 2014.
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2014 | Conference Paper | LibreCat-ID: 10248
Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online Learning with Bandit Algorithms.” In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 18–39, 2014.
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2014 | Conference Paper | LibreCat-ID: 10249
Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” In Proceedings Discovery Science, Bled,Slovenia , 123–34, 2014.
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2014 | Conference Paper | LibreCat-ID: 10250
Fallah Tehrani, A., M. Strickert, and Eyke Hüllermeier. “The Choquet Kernel for Monotone Data.” In Proceedings ESANN , Bruges, Belgium, 2014.
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2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz, A., M. Strickert, and Eyke Hüllermeier. “Learning Solution Similarity in Preference-Based CBR.” In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 17–31, 2014.
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2014 | Conference Paper | LibreCat-ID: 10253
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 32–33, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10254
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.” In Proceedings, Parts I-III. Lecture Notes in Computer Science, 8724–26. Springer, 2014.
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2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz, J., Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott Sanner. “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 4:1–27, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10296
Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.
LibreCat
2014 | Journal Article | LibreCat-ID: 10297
Hoffmann, F., Eyke Hüllermeier, and A. Kroll. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik 62, no. 10 (2014): 685–86.
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2014 | Journal Article | LibreCat-ID: 10298
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery 28, no. 5–6 (2014): 1129–33.
LibreCat
2014 | Journal Article | LibreCat-ID: 10299
Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems 5, no. 3 (2014): 175–91.
LibreCat
2014 | Journal Article | LibreCat-ID: 10308
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1519–34.
LibreCat
2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1609–13.
LibreCat
2014 | Journal Article | LibreCat-ID: 10310
Strickert, M., K. Bunte, F.- M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.
LibreCat
2014 | Journal Article | LibreCat-ID: 10311
Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.
LibreCat
2014 | Journal Article | LibreCat-ID: 10312
Mernberger, M., M. Moog, S. Stork, S. Zauner, U.G. Maier, and Eyke Hüllermeier. “Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational Biology 12, no. 1 (2014).
LibreCat
2014 | Journal Article | LibreCat-ID: 10313
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning 97, no. 1–2 (2014): 1–3.
LibreCat
2014 | Journal Article | LibreCat-ID: 10314
Busa-Fekete, Robert, B. Szörényi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.
LibreCat
2014 | Journal Article | LibreCat-ID: 10315
Montanés, E., Robin Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, and Eyke Hüllermeier. “Dependent Binary Relevance Models for Multi-Label Classification.” Pattern Recognition 47, no. 3 (2014): 1494–1508.
LibreCat
2014 | Journal Article | LibreCat-ID: 10316
Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V. Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations 16, no. 1 (2014): 1–10.
LibreCat
2014 | Journal Article | LibreCat-ID: 10317
Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 5 (2014): 878–90.
LibreCat
2014 | Journal Article | LibreCat-ID: 10318
Stock, M., T. Fober, Eyke Hüllermeier, S Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, and W. Wageman. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 6 (2014): 1157–69.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15752
Cheng, W., S. Henzgen, and Eyke Hüllermeier. “Labelwise versus Pairwise Decomposition in Label Ranking.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 129–36, 2013.
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2013 | Conference Paper | LibreCat-ID: 15753
Senge, Robin, J. del Coz, and Eyke Hüllermeier. “Rectifying Classifier Chains for Multi-Label Classification, Bamberg, Germany.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 151–58, 2013.
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2013 | Conference Paper | LibreCat-ID: 15755
Busa-Fekete, Robert, T. Fober, and Eyke Hüllermeier. “Preference-Based Evolutionary Optimization Using Generalized Racing Algorithms.” In In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 237–46. KIT Scientific Publishing, 2013.
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2013 | Conference Paper | LibreCat-ID: 15756
Henzgen, S., and Eyke Hüllermeier. “Weighted Rank Correlation Measures Based on Fuzzy Order Relations.” In In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 227–36. KIT Scientific Publishing, 2013.
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2013 | Conference Paper | LibreCat-ID: 15757
Weng, P., Robert Busa-Fekete, and Eyke Hüllermeier. “Interactive Q-Learning with Ordinal Rewards and Unreliable Tutor.” In In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
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2013 | Conference Paper | LibreCat-ID: 15758
Busa-Fekete, Robert, B. Szörenyi, P. Weng, and Eyke Hüllermeier. “Preference-Based Evolutionary Direct Policy Search.” In In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
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2013 | Conference Paper | LibreCat-ID: 15759
Cheng, W., and Eyke Hüllermeier. “A Nearest Neigbor Approach to Label Ranking Based on Generalized Labelwise Loss Minimization.” In In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15760
Shaker, Ammar, and Eyke Hüllermeier. “Event History Analysis on Data Streams: An Application to Earthquake Occurence.” In In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, edited by G. Krempl, I. Zliobaite, Y. Wang, and G. Forman, 38–41, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15761
Senge, Robin, J.J. del Coz, and Eyke Hüllermeier. “On the Problem of Error Propagation in Classier Chains for Multi-Label Classification. Data Analysis, Machine Learning and Knowledge Discovery.” In In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , edited by L. Schmidt-Thieme and M. Spiliopoulou. Springer, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15763
Fober, T., G. Klebe, and Eyke Hüllermeier. “Local Clique Merging: An Extension of the Maximum Common Subgraph Measure with Applications in Structural Bioinformatics, Algorithms from and for Nature and Life.” In In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, edited by B. Lausen, D. Van den Poel, and A. Ultsch, 279–86. Springer, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15112
Fallah Tehrani, A., and Eyke Hüllermeier. “Ordinal Choquistic Regression .” In In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, edited by J. Montero, G. Pasi, and D. Ciucci. Atlantis Press, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15113
Nasiri, N., T. Fober, Robin Senge, and Eyke Hüllermeier. “Fuzzy Pattern Trees as an Alternative to Rule-Based Fuzzy Systems: Knowledge-Driven, Data-Driven and Hybrid Modeling of Colour Yield in Poyester Dyeing, Edmonton, Canada.” In In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 715–21, 2013.
LibreCat
2013 | Journal Article | LibreCat-ID: 16044
Heider, D., Robin Senge, W. Cheng, and Eyke Hüllermeier. “Multilabel Classification for Exploiting Cross-Resistance Information in HIV-1 Drug Resistence Prediction.” Bioinformatics 29, no. 16 (2013): 1946–52.
LibreCat
2013 | Journal Article | LibreCat-ID: 16081
Bösner, S., K. Bönisch, J. Haasenritter , P. Schlegel, Eyke Hüllermeier, and N. Donner-Banzhoff. “Chest Pain in Primary Care: Is the Localization of Pain Diagnostically Helpful in the Critical Evaluation of Patients? A Cross Sectional Study. .” BMC Family Practice 14, no. 1 (2013): 154–62.
LibreCat
2013 | Journal Article | LibreCat-ID: 16086
Haasenritter, J., A. Viniol, A. Becker, S. Bösner, Eyke Hüllermeier, Robin Senge, and N. Donner-Banzhoff. “Diagnose Im Kontext - Eine Erweiterte Perspektive.” Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ) 107 (2013): 585–91.
LibreCat
2013 | Journal Article | LibreCat-ID: 16123
Shaker, A., R. Senge, and Eyke Hüllermeier. “Evolving Fuzzy Pattern Trees for Binary Classification on Data Streams.” Information Sciences 220 (2013): 34–45.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13115
Szarvas, G., Robert Busa-Fekete, and Eyke Hüllermeier. “Learning to Rank Lexical Substitutions.” In In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13116
Dembczynski, K., A. Jachnik, W. Kotlowski, W. Waegeman, and Eyke Hüllermeier. “Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization.” In In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, edited by S. Dasgupta and D. McAllester, 1130–38, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13117
Busa-Fekete, Robert, B. Szoreny, P. Weng, W. Cheng, and Eyke Hüllermeier. “Top-k Selection Based on Adaptive Sampling of Noisy Preferences.” In In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, edited by S. Dasgupta and D. McAllester, 1094–1102, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13118
Hüllermeier, Eyke, and W. Cheng. “Preference-Based CBR: General Ideas and Basic Principles.” In In Proceedings IJCAI-13, 23rd International Joint Conference on Artificial Intelligence, Beijing, China, edited by F. Rossi, 3012–16. AAAI Press, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13119
Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Rule Chains for Visualizing Evolving Fuzzy Rule-Based Systems.” In In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, edited by R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, and A. Zolnierek, 279–88. Springer, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13190
Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams.” In In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, edited by R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, and A. Zolnierek, 289–98. Springer, 2013.
LibreCat
2012 | Conference Paper | LibreCat-ID: 15299
Leinweber, M., L. Baumgärtner, M. Mernberger, T. Fober, Eyke Hüllermeier, G. Klebe, and B. Freisleben. “GPU-Based Cloud Computing for Comparing the Structure of Protein Binding Sites.” In In Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione D`Italia, Italy, 2012.
LibreCat
2012 | Book Chapter | LibreCat-ID: 15396
Hüllermeier, Eyke, and A. Fallah Tehrani. “Efficient Learning of Classifiers Based on the 2-Additive Choquet Integral.” In Computational Intelligence in Intelligent Data Analysis, edited by C. Moewes and A. Nürnberger, 17–30. Studies in Computational Intelligence. Springer, 2012.
LibreCat
2012 | Conference Paper | LibreCat-ID: 15754
Bräuning, M., and Eyke Hüllermeier. “Learning Conditional Lexicographic Preference Trees.” In In Workshops on Preference Learning at ECAI, European Conference on Artiticial Intelligence, Montpellier, France, 2012.
LibreCat
2012 | Conference Paper | LibreCat-ID: 15114
Hüllermeier, Eyke, and A. Fallah Tehrani. “On the VC Dimension of the Choquet Integral.” In In Proceedings IPMU-2012 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
LibreCat
2012 | Journal Article | LibreCat-ID: 16084
Fallah Tehrani, A., W. Cheng, K. Dembczynski, and Eyke Hüllermeier. “Learning Monotone Nonlinear Models Using the Choquet Integral.” Machine Learning 89, no. 1 (2012): 183–211.
LibreCat
2012 | Journal Article | LibreCat-ID: 16085
Bustince, H., M. Pagola, R. Mesiar, Eyke Hüllermeier, and F. Herrera. “Grouping, Overlap and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons.” IEEE Transactions on Fuzzy Systems 20, no. 3 (2012): 405–15.
LibreCat
2012 | Journal Article | LibreCat-ID: 16087
Fürnkranz, J., Eyke Hüllermeier, W. Cheng, and S.H. Park. “Preference-Based Reinforcement Learning: A Formal Framework and a Policy Iteration Algorithm.” Machine Learning 89, no. 1 (2012): 123–56.
LibreCat
2012 | Journal Article | LibreCat-ID: 16088
Dembczynski, K., W. Waegeman, W. Cheng, and Eyke Hüllermeier. “On Label Dependence and Loss Minimization in Multi-Label Classification.” Machine Learning 88, no. 1–2 (2012): 5–45.
LibreCat
2012 | Journal Article | LibreCat-ID: 16089
Shaker, Ammar, and Eyke Hüllermeier. “IBL Streams: A System for Instance-Based Classification and Regression on Data Streams.” Evolving Systems 3, no. 4 (2012): 235–49.
LibreCat
2012 | Journal Article | LibreCat-ID: 16090
Dolorez Ruiz, M., and Eyke Hüllermeier. “A Formal and Empirical Analysis of the Fuzzy Gamma Rank Correlation Coefficient.” Information Sciences 206 (2012): 1–17.
LibreCat
2012 | Journal Article | LibreCat-ID: 16091
Fallah Tehrani, A., W. Cheng, and Eyke Hüllermeier. “Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking.” IEEE Transactions on Fuzzy Systems 20, no. 6 (2012): 1102–13.
LibreCat
2012 | Journal Article | LibreCat-ID: 16092
Fober, T., M. Mernberger, G. Klebe, and Eyke Hüllermeier. “Fingerprint Kernels for Protein Structure Comparison.” Molecular Informatics 31, no. 6–7 (2012): 443–52.
LibreCat
2012 | Journal Article | LibreCat-ID: 16093
Hüllermeier, Eyke, M. Rifqi, Sascha Henzgen, and Robin Senge. “Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures.” IEEE Transactions on Fuzzy Systems 20, no. 3 (2012): 546–56.
LibreCat
2012 | Journal Article | LibreCat-ID: 16094
Senge, Robin, T. Fober, N. Nasiri, and Eyke Hüllermeier. “Fuzzy Pattern Trees: Ein Alternativer Ansatz Zur Fuzzy-Modellierung.” At-Atomatisierungstechnik 60, no. 10 (2012): 622–29.
LibreCat
2012 | Conference Paper | LibreCat-ID: 13120
Cheng, W., Eyke Hüllermeier, W. Waegeman, and V. Welker. “Label Ranking with Partial Abstention Based on Thresholded Probalistic Models.” In In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.
LibreCat
2012 | Conference Paper | LibreCat-ID: 13191
Cheng, W., and Eyke Hüllermeier. “Probability Estimation for Mulit-Class Classification Based on Label Ranking.” In Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.
LibreCat
2012 | Conference Paper | LibreCat-ID: 13192
Dembczynski, K., W. Kotlowski, and Eyke Hüllermeier. “Consistent Multilabel Ranking through Univariate Loss Minimization.” In In Proceedings ICML-2012, International Conference on Machine Learning, Edinburgh, Scotland, edited by J. Langford and J. Pineau, 2012.
LibreCat
2012 | Conference Paper | LibreCat-ID: 13193
Dembczynski, K., W. Waegeman, and Eyke Hüllermeier. “An Analysis of Chaining in Multi-Label Classification.” In In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , 294–99. IOS Press, 2012.
LibreCat
2012 | Book Chapter | LibreCat-ID: 10153
Hüllermeier, Eyke. “Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies.” In Combining Experimentation and Theory, edited by E. Trillas, P.P. Bonissone, L. Magdalena, and J. Kacprzyk, 271:123–35. Studies in Fuzziness and Soft Computing. Springer, 2012.
LibreCat
2011 | Conference Paper | LibreCat-ID: 15762
Dembczynski, K., W. Waegeman, and Eyke Hüllermeier. “Joint Mode Estimation in Multi-Label Classification by Chaining.” In In Proceedings ECML Workshop on Collective Inference and Learning on Structured Data, Athens, Greece, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 15764
Mernberger, M., D. Moog, S. Stork, S. Zauner, U. Maier, and Eyke Hüllermeier. “Prediction of Protein Localization for Specialized Compartments Using Time Series Kernels.” In In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 15115
Nasiri, M., Eyke Hüllermeier, Robin Senge, and E. Lughofer. “Comparing Methods for Knowledge-Driven and Data-Driven Fuzzy Modeling: A Case Study in Textile Industry.” In In Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, RW-103-1-6, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 15116
Lughofer, E., and Eyke Hüllermeier. “On-Line Redundancy Deletion in Evolving Fuzzy Regression Models Using a Fuzzy Inclusion Measure.” In In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, edited by S. Galichet, J. Montero, and G. Mauris, 380–87, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 15117
Fallah Tehrani, A., W. Cheng, and Eyke Hüllermeier. “Choquistic Regression: Generalizing Logistic Regression Using the Choquet Integral.” In In Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-Les-Bains, France, 868–75, 2011.
LibreCat
2011 | Journal Article | LibreCat-ID: 16119
Hirsch, O., S. Bösner, Eyke Hüllermeier, R. Senge, K. Dembczynski, and N. Donner-Banzhoff. “Multivariate Modeling to Identify Patterns in Clinical Data: The Example of Chest Pain.” BMC Medical Research Methodology 11, no. 155 (2011).
LibreCat
2011 | Journal Article | LibreCat-ID: 16126
Domshlak, C., Eyke Hüllermeier, S. Kaci, and H. Prade. “Preferences in AL: An Overview.” Artificial Intelligence 175, no. 7–8 (2011): 1037–52.
LibreCat
2011 | Journal Article | LibreCat-ID: 16147
Hüllermeier, Eyke. “Fuzzy Machine Learning and Data Mining.” WIREs Data Mining and Knowledge Discovery 1, no. 4 (2011): 269–83.
LibreCat
2011 | Journal Article | LibreCat-ID: 16148
Mernberger, M., G. Klebe, and Eyke Hüllermeier. “SEGA: Semi-Global Graph Alignment for Structure-Based Protein Comparison.” IEEE/ACM Transactions of Computational Biology and Bioinformatics 8, no. 5 (2011): 1330–43.
LibreCat
2011 | Journal Article | LibreCat-ID: 16149
Fober, T., S. Glinca, G. Klebe, and Eyke Hüllermeier. “Superposition and Alignment of Labeled Point Clouds.” IEEE/ACM Transactions on Computational Biology and Bioinformatics 8, no. 6 (2011): 1653–66.
LibreCat
2011 | Journal Article | LibreCat-ID: 16150
Hüllermeier, Eyke. “Fuzzy Sets in Machine Learning and Data Mining.” Applied Soft Computing Journal, 2011, 1493–1505.
LibreCat
2011 | Journal Article | LibreCat-ID: 16153
Senge, Robin, and Eyke Hüllermeier. “Top-down Induction of Fuzzy Pattern Trees.” IEEE Transactions on Fuzzy Systems 19, no. 2 (2011): 241–52.
LibreCat
2011 | Conference Paper | LibreCat-ID: 13194
Dembczynski, K., W. Waegeman, W. Cheng, and Eyke Hüllermeier. “An Exact Algorithm for F-Measure Maximization.” In In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 13195
Cheng, W., J. Fuernkranz, Eyke Hüllermeier, and S.H. Park. “Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning.” In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, , 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 13196
Fürnkranz, J., and Eyke Hüllermeier. “Learning from Label Preferences.” In In Proceedings DS-2011, 14th International Conference on Discovery Science, Number 6926 in LNAI, edited by T. Elomaa, J. Hollmen, and H. Mannila, 2–17. Springer, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 13197
Fallah Tehrani, A., W. Cheng, K. Dembczynski, and Eyke Hüllermeier. “Learning Monotone Nonlinear Models Using the Choquet Integral.” In In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 13198
Hüllermeier, Eyke, and P. Schlegel. “Preference-Based CBR: First Steps toward a Methodological Framework.” In In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, Number 6880 in LNAI, edited by A. Ram and N. Wiratunga, 77–91. Springer, 2011.
LibreCat
2011 | Conference Paper | LibreCat-ID: 13588
Kotlowski, W., K. Dembczynski, and Eyke Hüllermeier. “Bipartite Ranking through Minimization of Univariate Loss.” In In Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
LibreCat
2010 | Book Chapter | LibreCat-ID: 15297
Hüllermeier, Eyke, and J. Hühn. “An Analysis of the FURIA Algorithm for Fuzzy Rule Induction.” In Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, edited by J. Koronacki, Z.W. Ras, S.T. Wierzchon, and J. Kacprzyk, 262:321–44. Studies in Computational Intelligence. Springer, 2010.
LibreCat
2010 | Book Chapter | LibreCat-ID: 15298
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning: An Introduction.” In Preference Learning, edited by J. Fürnkranz and Eyke Hüllermeier, 1–18. Springer, 2010.
LibreCat
2010 | Conference Paper | LibreCat-ID: 15765
Fober, T., M. Mernberger, G. Klebe, and Eyke Hüllermeier. “Efficient Similarity Retrieval for Protein Binding Sites Based on Histogram Comparison.” In In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 51–60, 2010.
LibreCat
2010 | Conference Paper | LibreCat-ID: 15772
Dembczynski, K., W. Waegeman, W. Cheng, and Eyke Hüllermeier. “On Label Dependence in Multi-Label Classification.” In In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.
LibreCat
2010 | Conference Paper | LibreCat-ID: 15118
Fober, T., and Eyke Hüllermeier. “Similarity Measures for Protein Structures Based on Fuzzy Histogram Comparison.” In In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat
2010 | Conference Paper | LibreCat-ID: 15119
Senge, Robin, and Eyke Hüllermeier. “Pattern Trees for Regression and Fuzzy Systems Modeling.” In In Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat
2010 | Journal Article | LibreCat-ID: 16121
Pfeffer, P., T. Fober, Eyke Hüllermeier, and G. Klebe. “GARLig: A Fully Automated Tool for Subset Selection of Large Fragment Spaces via a Self-Adaptive Genetic Algorithm.” Journal of Chemical Information and Modeling 50, no. 9 (2010): 1644–59.
LibreCat
2010 | Journal Article | LibreCat-ID: 16151
Hüllermeier, Eyke, and S. Vanderlooy. “Combining Predictions in Pairwise Classification: An Optimal Adaptive Voting Strategy and Its Relation to Weighted Voting.” Pattern Recognition 43, no. 1 (2010): 128–42.
LibreCat
2010 | Journal Article | LibreCat-ID: 16152
Hüllermeier, Eyke, and J. Fürnkranz. “On Predictive Accuracy and Risk Minimization in Pairwise Label Ranking.” Journal of Computer and System Sciences 76, no. 1 (2010): 49–62.
LibreCat
2010 | Conference Paper | LibreCat-ID: 13589
Dembczynski, K., W. Cheng, and Eyke Hüllermeier. “Bayes Optimal Multilabel Classification via Probalistic Classifier Chains.” In In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, edited by J. Fürnkranz and T. Joachims, 279–86, 2010.
LibreCat
2010 | Conference Paper | LibreCat-ID: 13590
Cheng, W., K. Dembczynski, and Eyke Hüllermeier. “Label Ranking Based on the Plackett-Luce Model.” In In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, edited by J. Fürnkranz and T. Joachims, 215–22, 2010.
LibreCat
2010 | Conference Paper | LibreCat-ID: 13591
Cheng, W., K. Dembczynski, and Eyke Hüllermeier. “Graded Multi-Label Classification: The Ordinal Case.” In In Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, edited by J. Fürnkranz and T. Joachims, 2010.
LibreCat
2010 | Conference Paper | LibreCat-ID: 13593
Dembczynski, K., W. Waegeman, W. Cheng, and Eyke Hüllermeier. “Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss.” In In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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2010 | Conference Paper | LibreCat-ID: 13594
Cheng, W., M. Rademaker, B. De Beats, and Eyke Hüllermeier. “Predicting Partial Orders: Ranking with Abstention.” In In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
LibreCat
2010 | Conference Paper | LibreCat-ID: 13597
Hüllermeier, Eyke. “Uncertainty in Clustering and Classification .” In In Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , 6379:16–19. Springer, 2010.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15773
Cheng, W., and Eyke Hüllermeier. “A Simple Instance-Based Approach to Multilabel Classification Using the Mallows Model.” In In Proceedings MLD-2009 1st International Workshop on Learning from Multi-Label Data, Bled, Slovenia, 28–38, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15774
Senge, Robin, and Eyke Hüllermeier. “Learning Pattern Tree Classifiers Using a Co-Evolutionary Algorithm.” In In Proceedings 19th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 22–33. KIT Scientific Publishing, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15775
Fober, T., M. Mernberger, R. Moritz, and Eyke Hüllermeier. “Graph-Kernels for the Comparative Analysis of Protein Active Sites.” In In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany, edited by I. Grosse, S. Neumann, S. Posch, F. Schreiber, and P.. Stadler, 21–31, 2009.
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2009 | Conference Paper | LibreCat-ID: 15776
Senge, Robin, and Eyke Hüllermeier. “Learning Pattern Tree Classifiers Using a Co-Evolutionary Algorithm.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 105–10, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15778
Fober, T., M. Mernberger, Vitaly Melnikov, R. Moritz, and Eyke Hüllermeier. “Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 30–36, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15120
Fober, T., G. Klebe, and Eyke Hüllermeier. “Efficient Construction of Multiple Geometrical Alignments for the Comparison of Protein Binding Sites.” In In Proceedings ISDA-2009, 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy, 1251–56, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15194
Boukhris, I., Z. Elouedi, T. Fober, M. Mernberger, and Eyke Hüllermeier. “Similarity Analysis of Protein Binding Sites: A Generalization of the Maximum Common Subgraph Measure Based on Quasi-Clique Detection.” In In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy, 1245–50, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15195
Fober, T., and Eyke Hüllermeier. “Fuzzy Modeling of Labeled Point Cloud Superposition for the Comparison of Protein Binding Sites.” In In Proceedings IFSA / EUSFLAT-2009 World Congress of the Fuzzy Systems Association, Lissabon, Portugal, 1299–1304, 2009.
LibreCat
2009 | Conference Paper | LibreCat-ID: 15196
Hüllermeier, Eyke, and M. Rifqi. “A Fuzzy Variant of the Rand Index for Comparing Clustering Structures.” In In Proceedings IFSA / EUSFLAT-2009 World Congress of the Fuzzy Systems Association, Lissabon, Portugal, 1294–98, 2009.
LibreCat
2009 | Journal Article | LibreCat-ID: 16154
Weskamp, N., Eyke Hüllermeier, and G. Klebe. “Merging Chemical and Biological Space: Structural Mapping of Enzyme Binding Pocket Space.” Proteins 76, no. 2 (2009): 317–30.
LibreCat
2009 | Journal Article | LibreCat-ID: 16158
Hühn, J., and Eyke Hüllermeier. “FURIA: An Algorithm for Unordered Fuzzy Rule Induction.” Data Mining and Knowledge Discovery 19 (2009): 293–319.
LibreCat
2009 | Journal Article | LibreCat-ID: 16159
Hüllermeier, Eyke, and S. Vanderlooy. “Why Fuzzy Decision Trees Are Good Rankers.” IEEE Transactions on Fuzzy Systems 17, no. 6 (2009): 1233–44.
LibreCat
2009 | Journal Article | LibreCat-ID: 16160
Cheng, W., and Eyke Hüllermeier. “Combining Instance-Based Learning and Logistic Regression for Multilabel Classification.” Machine Learning 76, no. 2–3 (2009): 211–25.
LibreCat
2009 | Journal Article | LibreCat-ID: 16161
Yi, Y., T. Fober, and Eyke Hüllermeier. “Fuzzy Operator Trees for Modeling Rating Functions.” International Journal of Computational Intelligence and Applications 8, no. 4 (2009): 413–28.
LibreCat
2009 | Journal Article | LibreCat-ID: 16162
Fober, T., M. Mernberger, G. Klebe, and Eyke Hüllermeier. “Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.” Bioinformatics 25, no. 16 (2009): 2110–17.
LibreCat
2009 | Journal Article | LibreCat-ID: 16163
Hühn, J., and Eyke Hüllermeier. “FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers.” IEEE Transactions on Fuzzy Systems 17, no. 1 (2009): 138–49.
LibreCat
2009 | Journal Article | LibreCat-ID: 16165
Hüllermeier, Eyke, I. Vladimirskiy, B. Prados Suarez, and E. Stauch. “Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions.” Künstliche Intelligenz 1, no. 09 (2009): 24–29.
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