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2020 – today
- 2024
[j9]Michael Rapp
, Johannes Fürnkranz, Eyke Hüllermeier:
On the efficient implementation of classification rule learning. Adv. Data Anal. Classif. 18(4): 851-892 (2024)- [j8]Stefan Haas, Konstantin Hegestweiler, Michael Rapp, Maximilian Muschalik, Eyke Hüllermeier:
Stakeholder-centric explanations for black-box decisions: an XAI process model and its application to automotive goodwill assessments. Frontiers Artif. Intell. 7 (2024) - 2022
- [b1]Michael Rapp:
Multi-label Rule Learning. Technical University of Darmstadt, Germany, 2022 - [j7]Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp:
A flexible class of dependence-aware multi-label loss functions. Mach. Learn. 111(2): 713-737 (2022) - 2021
- [j6]Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance. Frontiers Big Data 4: 784159 (2021) - [j5]Michael Rapp:
BOOMER - An algorithm for learning gradient boosted multi-label classification rules. Softw. Impacts 10: 100137 (2021) - [c8]Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier:
Gradient-Based Label Binning in Multi-label Classification. ECML/PKDD (3) 2021: 462-477 - [i11]Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier:
Gradient-based Label Binning in Multi-label Classification. CoRR abs/2106.11690 (2021) - [i10]Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Correlation-based Discovery of Disease Patterns for Syndromic Surveillance. CoRR abs/2110.09208 (2021) - 2020
- [c7]Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
On Aggregation in Ensembles of Multilabel Classifiers. DS 2020: 533-547 - [c6]Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier:
Learning Gradient Boosted Multi-label Classification Rules. ECML/PKDD (3) 2020: 124-140 - [c5]Eyke Hüllermeier, Johannes Fürnkranz, Eneldo Loza Mencía, Vu-Linh Nguyen, Michael Rapp:
Rule-Based Multi-label Classification: Challenges and Opportunities. RuleML+RR 2020: 3-19 - [i9]Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
On Aggregation in Ensembles of Multilabel Classifiers. CoRR abs/2006.11916 (2020) - [i8]Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier:
Learning Gradient Boosted Multi-label Classification Rules. CoRR abs/2006.13346 (2020) - [i7]Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp:
A Flexible Class of Dependence-aware Multi-Label Loss Functions. CoRR abs/2011.00792 (2020) - [i6]Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Michael Rapp:
Learning Structured Declarative Rule Sets - A Challenge for Deep Discrete Learning. CoRR abs/2012.04377 (2020)
2010 – 2019
- 2019
- [j4]Sofia Toto, Pascal Nicolay, Gian Luca Morini, Michael Rapp, Jan G. Korvink, Juergen J. Brandner:
Design and Simulation of a Wireless SAW-Pirani Sensor with Extended Range and Sensitivity. Sensors 19(10): 2421 (2019) - [j3]Sofia Toto, Pascal Nicolay, Gian Luca Morini, Michael Rapp, Jan G. Korvink, Juergen J. Brandner:
Correction: Design and Simulation of a Wireless SAW-Pirani Sensor with Extended Range and Sensitivity. Sensors 19(14): 3243 (2019) - [c4]Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. DS 2019: 96-111 - [c3]Yannik Klein, Michael Rapp, Eneldo Loza Mencía:
Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning. DS 2019: 367-382 - [i5]Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. CoRR abs/1908.03032 (2019) - [i4]Yannik Klein, Michael Rapp, Eneldo Loza Mencía:
Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning. CoRR abs/1908.06874 (2019) - [i3]Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy. CoRR abs/1911.04393 (2019) - 2018
- [c2]Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. PAKDD (1) 2018: 29-42 - [i2]Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier, Michael Rapp:
Learning Interpretable Rules for Multi-label Classification. CoRR abs/1812.00050 (2018) - [i1]Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. CoRR abs/1812.06833 (2018) - 2017
- [j2]Ullrich Stahl, Achim Voigt, Marian Dirschka, Nicole Barié, Christiane Richter, Ansgar Waldbaur, Friederike J. Gruhl, Bastian E. Rapp, Michael Rapp, Kerstin Länge:
Long-Term Stability of Polymer-Coated Surface Transverse Wave Sensors for the Detection of Organic Solvent Vapors. Sensors 17(11): 2529 (2017) - 2016
- [c1]Caroline Carriel Schmitt, Michael Rapp, Achim Voigt, Nicolaus Dahmen:
Detection of aromatic compounds in artificial gasoline with hybrid surface acoustic wave sensor array and a short packed column (SAW-GC). IEEE SENSORS 2016: 1-3 - 2014
- [j1]Ignacio Monzón, Michael Rapp:
Observational learning with position uncertainty. J. Econ. Theory 154: 375-402 (2014)
Coauthor Index
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