Keywords:
- Aggregation strategies
- Chaining
- classifier combination
- Combine then Predict
- decision under risk and unce
- Ensembles of Multilabel Classifiers
- Evolutionary direct policy search
- F-measure
- Gradient boosting
- Hamming loss
- Label Dependencies
- Label ranking
- learning by pairwise comparison
- machine learning
- MAP prediction
- multilabel classification
- multiple criteria decision making
- Predict then Combine
- preference elicitation
- Preference learning
- Racing algorithms
- ranking
- Reinforcement learning
- Rule Learning
- separate- and-conquer
- social choice
- Subset 0/1 loss
- Weighted voting
Publications of Eyke Hüllermeier sorted by title
A
| , , , and , A Flexible Class of Dependence-sensitive Multi-label Loss Functions (2021), in: Machine Learning Journal |
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| , and , A Unified Model for Multilabel Classification and Ranking, in: Proceedings of the 17th European Conference on Artificial Intelligence (ECAI-06), pages 489--493, 2006 |
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B
| , and , Binary Decomposition Methods for Multipartite Ranking, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-09), pages 359--374, Springer-Verlag, 2009 |
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C
| and , Case-Based Label Ranking, in: Proceedings of the 17th European Conference on Machine Learning (ECML-06), pages 566--573, Springer-Verlag, 2006 |
| and , Comparison of Ranking Procedures in Pairwise Preference Learning, in: Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-04), 2004 |
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| , and , Conformal Rule-Based Multi-label Classification, in: KI 2020: Advances in Artificial Intelligence, Springer, Cham, 2020 |
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E
| and , Editorial: Preference Learning and Ranking (2013), in: Machine Learning, 93:2-3(185--189) |
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| , and , Label Ranking by Learning Pairwise Preferences, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-01, 2007 |
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| , , and , Label Ranking by Learning Pairwise Preferences (2008), in: Artificial Intelligence, 172:16–17(1897--1916) |
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| , , , and , Large-Scale Multi-label Text Classification - Revisiting Neural Networks, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 2, pages 437--452, Springer Berlin Heidelberg, 2014 |
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| and , Learning from Label Preferences, in: Proceedings of the 14th International Conference on Discovery Science (DS-11), pages 2--17, Springer, 2011 |
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| and , Learning from Label Preferences, in: Proceedings of the 22nd International Conference on Algorithmic Learning Theory (ALT-11), pages 38, Springer, 2011 |
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| , , , and , Learning Gradient Boosted Multi-label Classification Rules, in: Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pages 124--140, Springer, 2020 |
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| , , and , Learning Interpretable Rules for Multi-label Classification, in: Explainable and Interpretable Models in Computer Vision and Machine Learning, pages 81--113, Springer-Verlag, 2018 |
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| and , Learning Label Preferences: Ranking Error versus Position Error, in: Advances in Intelligent Data Analysis: Proceedings of the 6th International Symposium (IDA-05), pages 180--191, Springer-Verlag, 2005 |
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| and , Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants, in: Preferences and Similarities, pages 283--304, Springer-Verlag, 2008 |
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| , , and , Learning Structured Declarative Rule Sets — A Challenge for Deep Discrete Learning, in: 2nd Workshop on Deep Continuous-Discrete Machine Learning (DeCoDeML), 2020 |
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M
| and , Multi-Label Classification with Label Constraints, in: Proceedings of the ECML PKDD 2008 Workshop on Preference Learning (PL-08, Antwerp, Belgium), pages 157--171, 2008 |
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| , and , Multi-target prediction: a unifying view on problems and methods (2019), in: Data Mining and Knowledge Discovery, 33:2(293--324) |
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| , , and , Multilabel Classification via Calibrated Label Ranking (2008), in: Machine Learning, 73:2(133--153) |
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O
| , , , and , On Aggregation in Ensembles of Multilabel Classifiers, in: Discovery Science, pages 533--547, Springer International Publishing, 2020 |
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| and , On Minimizing the Position Error in Label Ranking, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-04, 2007 |
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| and , On Minimizing the Position Error in Label Ranking, in: Proceedings of 18th European Conference on Machine Learning (ECML-07), pages 583--590, Springer-Verlag, 2007 |
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| , and , On Pairwise Naive Bayes Classifiers, in: Proceedings of 18th European Conference on Machine Learning (ECML-07), pages 371--381, Springer-Verlag, 2007 |
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| , and , On Position Error and Label Ranking through Iterated Choice, in: {LWA 2005, Lernen Wissensentdeckung Adaptivität}, pages 158--163, German Research Center for Artificial Intelligence (DFKI), 2005 |
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| and , On Predictive Accuracy and Risk Minimization in Pairwise Label Ranking (2010), in: Journal of Computer and System Sciences, 76:1(49--62) |
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| , , , and , On the Combination of Two Decompositive Multi-Label Classification Methods, in: Proceedings of the ECML PKDD 2009 Workshop on Preference Learning (PL-09, Bled, Slovenia), pages 114--129, 2009 |
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P
| and , Pairwise Preference Learning and Ranking, in: Proceedings of the 14th European Conference on Machine Learning (ECML-03), pages 145--156, Springer-Verlag, 2003 |
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| and , Pairwise Preference Learning and Ranking, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2003-14, 2003 |
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| and , Pairwise Preference Learning and Ranking, in: Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop, 2003 |
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| and , Preference Learning (2005), in: Künstliche Intelligenz, 19:1(60--61) |
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| and , Preference Learning, in: Encyclopedia of Machine Learning, pages 789--795, Springer-Verlag, 2010 |
| Preference Learning, Springer-Verlag, 2010 |
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| and , Preference Learning, in: Encyclopedia of the Sciences of Learning, pages 986, Springer-Verlag, 2012 |
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| , , , and , Preference Learning (Dagstuhl Seminar 14101) (2014), in: Dagstuhl Reports, 4:3(1--27) |
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| and , Preference Learning and Ranking by Pairwise Comparison, in: Preference Learning, pages 65--82, Springer-Verlag, 2010 |
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| and , Preference Learning: An Introduction, in: Preference Learning, pages 1--17, Springer-Verlag, 2010 |
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| Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop, Austrian Research Institute for Artificial Intelligence, 2003 |
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| , , and , Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning, in: Proceedings of the 22nd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011, Athens, Greece), Part I, pages 312--327, Springer, 2011 |
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| , , and , Preference-based Reinforcement Learning: A Formal Framework and a Policy Iteration Algorithm (2012), in: Machine Learning, 89:1-2(123--156) |
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| Proceedings of the 16th International Conference on Discovery Science (DS-13), Springer-Verlag, 2013 |
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| Proceedings of the ECAI-12 Workshop on Preference Learning: Problems and Applications in AI (PL-12), 2012 |
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| Proceedings of the ECML/PKDD-13 Workshop on Reinforcement Learning with Generalized Feedback: Beyond Numeric Rewards, 2013 |
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R
| and , Ranking by Pairwise Comparison: A Note on Risk Minimization, in: Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE-04), 2004 |
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| and , Reliable Multilabel Classification: Prediction with Partial Abstention (2020), in: Proceedings of the AAAI Conference on Artificial Intelligence, 34:04(5264-5271) |
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| , , , and , Rule-Based Multi-label Classification: Challenges and Opportunities, in: Rules and Reasoning, pages 3--19, Springer International Publishing, 2020 |
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S
| , and , Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 3, pages 114--129, Springer, 2014 |
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| and , Special Issue on Discovery Science (2016), in: Information Sciences, 329(849--850) |
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| Special Issue on Preference Learning and Ranking (2013), in: Machine Learning, 93:2-3 |
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