Michael Rapp

29 papers B 4Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
On the efficient implementation of classification rule learning.
Adv. Data Anal. Classif.
Michael Rapp, Johannes Fürnkranz, Eyke Hüllermeier
2024 J jnl
Stakeholder-centric explanations for black-box decisions: an XAI process model and its application to automotive goodwill assessments.
Frontiers Artif. Intell.
Stefan Haas, Konstantin Hegestweiler, Michael Rapp, Maximilian Muschalik, Eyke Hüllermeier
2022 J jnl
A flexible class of dependence-aware multi-label loss functions.
Mach. Learn.
Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp
2022 — —
Multi-label Rule Learning.
Michael Rapp
2021 J jnl
BOOMER - An algorithm for learning gradient boosted multi-label classification rules.
Softw. Impacts
Michael Rapp
2021 J jnl
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance.
Frontiers Big Data
Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
2021 J jnl
Correlation-based Discovery of Disease Patterns for Syndromic Surveillance.
CoRR
Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
2021 — conf
Gradient-Based Label Binning in Multi-label Classification.
ECML/PKDD (3)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier
2021 J jnl
Gradient-based Label Binning in Multi-label Classification.
CoRR
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier
2020 J jnl
A Flexible Class of Dependence-aware Multi-Label Loss Functions.
CoRR
Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp
2020 — conf
Learning Gradient Boosted Multi-label Classification Rules.
ECML/PKDD (3)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier
2020 J jnl
Learning Gradient Boosted Multi-label Classification Rules.
CoRR
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier
2020 J jnl
Learning Structured Declarative Rule Sets - A Challenge for Deep Discrete Learning.
CoRR
Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Michael Rapp
2020 B conf
On Aggregation in Ensembles of Multilabel Classifiers.
DS
Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
2020 J jnl
On Aggregation in Ensembles of Multilabel Classifiers.
CoRR
Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
2020 B conf
Rule-Based Multi-label Classification: Challenges and Opportunities.
RuleML+RR
Eyke Hüllermeier, Johannes Fürnkranz, Eneldo Loza Mencía, Vu-Linh Nguyen, Michael Rapp
2019 J jnl
Correction: Design and Simulation of a Wireless SAW-Pirani Sensor with Extended Range and Sensitivity.
Sensors
Sofia Toto, Pascal Nicolay, Gian Luca Morini, Michael Rapp, Jan G. Korvink, Juergen J. Brandner
2019 J jnl
Design and Simulation of a Wireless SAW-Pirani Sensor with Extended Range and Sensitivity.
Sensors
Sofia Toto, Pascal Nicolay, Gian Luca Morini, Michael Rapp, Jan G. Korvink, Juergen J. Brandner
2019 B conf
Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning.
DS
Yannik Klein, Michael Rapp, Eneldo Loza Mencía
2019 J jnl
Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning.
CoRR
Yannik Klein, Michael Rapp, Eneldo Loza Mencía
2019 B conf
On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics.
DS
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
2019 J jnl
On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics.
CoRR
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
2019 J jnl
Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy.
CoRR
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
2018 — conf
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules.
PAKDD (1)
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
2018 J jnl
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules.
CoRR
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
2018 J jnl
Learning Interpretable Rules for Multi-label Classification.
CoRR
Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier, Michael Rapp
2017 J jnl
Long-Term Stability of Polymer-Coated Surface Transverse Wave Sensors for the Detection of Organic Solvent Vapors.
Sensors
Ullrich Stahl, Achim Voigt, Marian Dirschka, Nicole Barié, Christiane Richter, Ansgar Waldbaur, Friederike J. Gruhl, Bastian E. Rapp, Michael Rapp, Kerstin Länge
2016 — conf
Detection of aromatic compounds in artificial gasoline with hybrid surface acoustic wave sensor array and a short packed column (SAW-GC).
IEEE SENSORS
Caroline Carriel Schmitt, Michael Rapp, Achim Voigt, Nicolaus Dahmen
2014 J jnl
Observational learning with position uncertainty.
J. Econ. Theory
Ignacio Monzón, Michael Rapp