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Johannes Fürnkranz

Technische Universität Darmstadt
Austrian Research Institute for Artificial Intelligence

322

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6694

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GausSetExpander: A Simple Approach for Entity Set Expansion.

2022 CoRR
- Aïssatou Diallo
- Johannes Fürnkranz
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Quantity vs Quality: Investigating the Trade-Off between Sample Size and Label Reliability.

2022 CoRR
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A flexible class of dependence-aware multi-label loss functions.

2022 Mach. Learn.
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A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems.

2021 arXiv: Artificial Intelligence
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Gradient-Based Label Binning in Multi-label Classification

2021 PKDD | European Conference on Principles of Data Mining and Knowledge Discovery
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Elliptical Ordinal Embedding.

2021 DS | Discovery Science
- Aïssatou Diallo
- Johannes Fürnkranz
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Beyond DNF: First Steps towards Deep Rule Learning.

2021
- Florian Beck
- Johannes Fürnkranz
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A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance

2021 The first computers
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Correlation-based Discovery of Disease Patterns for Syndromic Surveillance

2021 arXiv: Learning
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Learning Gradient Boosted Multi-label Classification Rules.

2020 PKDD | European Conference on Principles of Data Mining and Knowledge Discovery
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