Michael Rapp

According to our database, Michael Rapp authored at least 19 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Multi-label Rule Learning.

Michael Rapp

PhD thesis, 2022

A flexible class of dependence-aware multi-label loss functions.

Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp

Mach. Learn., 2022

2021

BOOMER - An algorithm for learning gradient boosted multi-label classification rules.

Michael Rapp

Softw. Impacts, 2021

Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance.

Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz

Frontiers Big Data, 2021

Gradient-Based Label Binning in Multi-label Classification.

Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Learning Structured Declarative Rule Sets - A Challenge for Deep Discrete Learning.

Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Michael Rapp

CoRR, 2020

Rule-Based Multi-label Classification: Challenges and Opportunities.

Eyke Hüllermeier, Johannes Fürnkranz, Eneldo Loza Mencía, Vu-Linh Nguyen, Michael Rapp

Proceedings of the Rules and Reasoning - 4th International Joint Conference, 2020

Learning Gradient Boosted Multi-label Classification Rules.

Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

On Aggregation in Ensembles of Multilabel Classifiers.

Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

Correction: Design and Simulation of a Wireless SAW-Pirani Sensor with Extended Range and Sensitivity.

Sofia Toto, Pascal Nicolay, Gian Luca Morini, Michael Rapp, Jan G. Korvink, Juergen J. Brandner

Sensors, 2019

Design and Simulation of a Wireless SAW-Pirani Sensor with Extended Range and Sensitivity.

Sofia Toto, Pascal Nicolay, Gian Luca Morini, Michael Rapp, Jan G. Korvink, Juergen J. Brandner

Sensors, 2019

Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy.

Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz

CoRR, 2019

On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics.

Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz

Proceedings of the Discovery Science - 22nd International Conference, 2019

Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning.

Yannik Klein, Michael Rapp, Eneldo Loza Mencía

Proceedings of the Discovery Science - 22nd International Conference, 2019

2018

Learning Interpretable Rules for Multi-label Classification.

Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier, Michael Rapp

CoRR, 2018

Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules.

Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

Long-Term Stability of Polymer-Coated Surface Transverse Wave Sensors for the Detection of Organic Solvent Vapors.

Ullrich Stahl, Achim Voigt, Marian Dirschka, Nicole Barié, Christiane Richter, Ansgar Waldbaur, Friederike J. Gruhl, Bastian E. Rapp, Michael Rapp, Kerstin Länge

Sensors, 2017

2016

Detection of aromatic compounds in artificial gasoline with hybrid surface acoustic wave sensor array and a short packed column (SAW-GC).

Caroline Carriel Schmitt, Michael Rapp, Achim Voigt, Nicolaus Dahmen

Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016

2014

Observational learning with position uncertainty.

Ignacio Monzón, Michael Rapp

J. Econ. Theory, 2014