prof. dr. Matthias Bogaert
- ORCID iD
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0000-0002-4502-0764
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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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- 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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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
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PerfoRank : cluster-based performance ranking for improved performance evaluation and estimation in professional cycling
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Profit-driven pre-processing in B2B customer churn modeling using fairness techniques