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Predicting and explaining post-repair machine failures using machine learning on warranty data
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Making sense of BERTopic : a deep dive into topic reduction techniques
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We passen ons veel te traag aan aan de enorme veranderingen in de wereld
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- Conference Paper
- C3
- open access
Unseen market shares : exploiting CDR data for telecom insights in a prepaid multi-SIM setting
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Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring
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- Conference Paper
- C3
- open access
The dual quest for interpretability and performance in credit scoring via spline-rule ensembles
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- Miscellaneous
- open access
DNA damage-associated vesicle production in Stenotrophomonas maltophilia is mediated by a cryptic tailocin endolysin
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Large language models on race commentary : towards granular data in cycling analytics
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Predicting restaurant hygiene scores : an interpretable machine learning approach
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Empulse : a unifying framework for profit-driven and cost-sensitive learning in Python