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Michael Rapp

Correlation-based Discovery of Disease Patterns for Syndromic Surveillance

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Oct 18, 2021
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Gradient-based Label Binning in Multi-label Classification

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Jun 22, 2021
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Learning Structured Declarative Rule Sets -- A Challenge for Deep Discrete Learning

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Dec 08, 2020
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A Flexible Class of Dependence-aware Multi-Label Loss Functions

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Nov 02, 2020
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Learning Gradient Boosted Multi-label Classification Rules

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Jun 23, 2020
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On Aggregation in Ensembles of Multilabel Classifiers

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Jun 21, 2020
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Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy

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Nov 11, 2019
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Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning

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Aug 19, 2019
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On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics

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Aug 08, 2019
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Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules

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Dec 14, 2018
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