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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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- PhD Thesis
- open access
Learning analytics with neural networks : addressing open challenges through uncertainty quantification and natural language processing
(2025) -
- Conference Paper
- C1
- open access
Ordinality in discrete-level question difficulty estimation : introducing balanced DRPS and OrderedLogitNN
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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
- C1
- open access
Active learning to guide labeling efforts for question difficulty estimation
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- Journal Article
- A1
- open access
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification
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Guiding labeling efforts in question difficulty estimation using active learning
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Cheaper neural network ensembles : a case study in manufacturing
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- Journal Article
- A1
- open access
Explainability through uncertainty : trustworthy decision-making with neural networks