Michael Rapp

According to our database1, Michael Rapp authored at least 17 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
A flexible class of dependence-aware multi-label loss functions.
Mach. Learn., 2022

2021
BOOMER - An algorithm for learning gradient boosted multi-label classification rules.
Softw. Impacts, 2021

Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance.
Frontiers Big Data, 2021

Gradient-Based Label Binning in Multi-label Classification.
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.
CoRR, 2020

Rule-Based Multi-label Classification: Challenges and Opportunities.
Proceedings of the Rules and Reasoning - 4th International Joint Conference, 2020

Learning Gradient Boosted Multi-label Classification Rules.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

On Aggregation in Ensembles of Multilabel Classifiers.
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.
Sensors, 2019

Design and Simulation of a Wireless SAW-Pirani Sensor with Extended Range and Sensitivity.
Sensors, 2019

Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy.
CoRR, 2019

On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
Learning Interpretable Rules for Multi-label Classification.
CoRR, 2018

Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules.
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.
Sensors, 2017

2014
Observational learning with position uncertainty.
J. Econ. Theory, 2014


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