Learning Gradient Boosted Multi-label Classification Rules M Rapp, E Loza Mencía, J Fürnkranz, VL Nguyen, E Hüllermeier European Conference on Machine Learning and Knowledge Discovery in Databases …, 2020 | 31 | 2020 |
On aggregation in ensembles of multilabel classifiers VL Nguyen, E Hüllermeier, M Rapp, E Loza Mencía, J Fürnkranz Discovery Science: 23rd International Conference, DS 2020, Thessaloniki …, 2020 | 13 | 2020 |
Rule-based multi-label classification: Challenges and opportunities E Hüllermeier, J Fürnkranz, E Loza Mencia, VL Nguyen, M Rapp Rules and Reasoning: 4th International Joint Conference, RuleML+ RR 2020 …, 2020 | 12 | 2020 |
Learning Interpretable Rules for Multi-label Classification E Loza Mencía, J Fürnkranz, E Hüllermeier, M Rapp Explainable and Interpretable Models in Computer Vision and Machine Learning …, 2018 | 11 | 2018 |
Gradient-based Label Binning in Multi-label Classification M Rapp, E Loza Mencía, J Fürnkranz, E Hüllermeier European Conference on Machine Learning and Knowledge Discovery in Databases …, 2021 | 10 | 2021 |
BOOMER—An algorithm for learning gradient boosted multi-label classification rules M Rapp Software Impacts 10, 100137, 2021 | 8 | 2021 |
A flexible class of dependence-aware multi-label loss functions E Hüllermeier, M Wever, E Loza Mencia, J Fürnkranz, M Rapp Machine Learning 111 (2), 713-737, 2022 | 5 | 2022 |
Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy M Rapp, EL Mencía, J Fürnkranz arXiv preprint arXiv:1911.04393, 2019 | 5 | 2019 |
Efficient discovery of expressive multi-label rules using relaxed pruning Y Klein, M Rapp, E Loza Mencía Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019 | 5 | 2019 |
Exploiting anti-monotonicity of multi-label evaluation measures for inducing multi-label rules M Rapp, E Loza Mencía, J Fürnkranz Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 5 | 2018 |
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance M Rapp, M Kulessa, E Loza Mencía, J Fürnkranz Frontiers in Big Data 4, 2022 | 4 | 2022 |
Learning Structured Declarative Rule Sets--A Challenge for Deep Discrete Learning J Fürnkranz, E Hüllermeier, EL Mencía, M Rapp arXiv preprint arXiv:2012.04377, 2020 | 4 | 2020 |
On the trade-off between consistency and coverage in multi-label rule learning heuristics M Rapp, E Loza Mencía, J Fürnkranz Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019 | 2 | 2019 |
On the efficient implementation of classification rule learning M Rapp, J Fürnkranz, E Hüllermeier Advances in Data Analysis and Classification, 1-42, 2023 | | 2023 |
Multi-label Rule Learning M Rapp Technische Universität Darmstadt, 2022 | | 2022 |