prof. dr. Dries Benoit
- ORCID iD
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0000-0001-9901-8507
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A bandit-based approach to educational recommender systems : contextual Thompson sampling for learner skill gain optimization
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- Journal Article
- A2
- open access
A bandit-based approach to educational recommender systems : contextual Thompson sampling for learner skill gain optimization
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A lightweight graph representation for scalable deep learning on 3D CAD data
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- Journal Article
- A2
- open access
A reward-informed semi-personalized bandit approach for enhancing accuracy and serendipity in online slate recommendations
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Segmenting unmanufacturable regions in CAD designs through deep learning and domain adaptation
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- Conference Paper
- C1
- open access
Ordinality in discrete-level question difficulty estimation : introducing balanced DRPS and OrderedLogitNN
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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
Ordinal regression for question difficulty estimation with transformer-based neural networks
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- Conference Paper
- C3
- open access
Automated data generation for assessing sheet metal bending manufacturability
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Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring