dr. Bram Janssens
- ORCID iD
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0000-0003-3078-7919
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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
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Determining well-being during a crisis based on social media data using natural language processing
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A pre-processing approach to strategic high-value customer representation in churn prediction
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- Conference Paper
- P1
- open access
Performance measurement 2.0 : towards a data-driven cyclist specialization evaluation
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- Journal Article
- A1
- open access
360 Degrees rumor detection : when explanations got some explaining to do
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- Journal Article
- A1
- open access
B2Boost : instance-dependent profit-driven modelling of B2B churn