Michael Rapp

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 25

Top Topics

Efficient Discovery

Multi Label Classification

Top Venues

Publications

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) (2022)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier
Gradient-Based Label Binning in Multi-label Classification. ECML/PKDD (3) (2021)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier
Gradient-based Label Binning in Multi-label Classification. CoRR (2021)
Michael Rapp
BOOMER - An algorithm for learning gradient boosted multi-label classification rules. Softw. Impacts 10 (2021)
Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance. Frontiers Big Data 4 (2021)
Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Correlation-based Discovery of Disease Patterns for Syndromic Surveillance. CoRR (2021)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier
Learning Gradient Boosted Multi-label Classification Rules. CoRR (2020)
Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
On Aggregation in Ensembles of Multilabel Classifiers. CoRR (2020)
Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp
A Flexible Class of Dependence-aware Multi-Label Loss Functions. CoRR (2020)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier
Learning Gradient Boosted Multi-label Classification Rules. ECML/PKDD (3) (2020)
Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
On Aggregation in Ensembles of Multilabel Classifiers. DS (2020)
Eyke Hüllermeier, Johannes Fürnkranz, Eneldo Loza Mencía, Vu-Linh Nguyen, Michael Rapp
Rule-Based Multi-label Classification: Challenges and Opportunities. RuleML+RR (2020)
Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Michael Rapp
Learning Structured Declarative Rule Sets - A Challenge for Deep Discrete Learning. CoRR (2020)
Yannik Klein, Michael Rapp, Eneldo Loza Mencía
Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning. DS (2019)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy. CoRR (2019)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. CoRR (2019)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. DS (2019)
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) (2019)
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) (2019)
Yannik Klein, Michael Rapp, Eneldo Loza Mencía
Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning. CoRR (2019)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. CoRR (2018)
Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier, Michael Rapp
Learning Interpretable Rules for Multi-label Classification. CoRR (2018)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. PAKDD (1) (2018)
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) (2017)
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)
Ignacio Monzón, Michael Rapp
Observational learning with position uncertainty. J. Econ. Theory 154 (2014)