Ghent University Academic Bibliography

Your filters: cql: author exact F88A388C-F0ED-11E1-A9DE-61C894A0A6B4

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A reward-informed semi-personalized bandit approach for enhancing accuracy and serendipity in online slate recommendations

Lukas De Kerpel (UGent) and Dries Benoit (UGent)

(2026) ACM TRANSACTIONS ON RECOMMENDER SYSTEMS. 4(3).
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- A2
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A bandit-based approach to educational recommender systems : contextual Thompson sampling for learner skill gain optimization

Lukas De Kerpel (UGent) , Arthur Thuy (UGent) and Dries Benoit (UGent)

(2026) TRANSACTIONS ON EDUCATION. 26(3). p.187-199
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A lightweight graph representation for scalable deep learning on 3D CAD data

Toon Van Camp (UGent) and Dries Benoit (UGent)

(2026) ORBEL 40 : 40th annual conference of the Belgian Operational Research Society, Booklet of abstracts. p.69-70
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A bandit-based approach to educational recommender systems : contextual Thompson sampling for learner skill gain optimization

Lukas De Kerpel (UGent) , Dries Benoit (UGent) and Arthur Thuy (UGent)

(2026) ORBEL 40 : 40th annual conference of the Belgian Operational Research Society, Booklet of abstracts. p.144-145
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- C1
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Active learning to guide labeling efforts for question difficulty estimation

Arthur Thuy (UGent) , Ekaterina Loginova and Dries Benoit (UGent)

(2026) Machine learning and principles and practice of knowledge discovery in databases : international workshops of ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, revised selected papers, part II. In Communications in Computer and Information Science 2559. p.502-517
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Simulating student interactions for virtual pretesting with in-context learning

Arthur Thuy (UGent) , Luca Benedetto, Ekaterina Loginova and Dries Benoit (UGent)

(2026) Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026). In LREC proceedings p.10376-10389
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- C3
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Ordinal regression for question difficulty estimation with transformer-based neural networks

Arthur Thuy (UGent) , Ekaterina Loginova and Dries Benoit (UGent)

(2025) Joint ORBEL-NGB Conference, Booklet of Abstracts. p.189-190
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Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring

Matteo Ballegeer (UGent) , Matthias Bogaert (UGent) and Dries Benoit (UGent)

(2025) Joint ORBEL-NGB Conference, Booklet of Abstracts. p.140-141
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- C3
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Automated data generation for assessing sheet metal bending manufacturability

Matteo Ballegeer (UGent) , Toon Van Camp (UGent) and Dries Benoit (UGent)

(2025) Flanders Make Scientific Conference 2025 : proceedings.
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Ordinality in discrete-level question difficulty estimation : introducing balanced DRPS and OrderedLogitNN

Arthur Thuy (UGent) , Ekaterina Loginova and Dries Benoit (UGent)

(2025) Artificial Intelligence in Education, 26th International Conference, Proceedings. 4006.

Academic Bibliography

A reward-informed semi-personalized bandit approach for enhancing accuracy and serendipity in online slate recommendations

A bandit-based approach to educational recommender systems : contextual Thompson sampling for learner skill gain optimization

A lightweight graph representation for scalable deep learning on 3D CAD data

A bandit-based approach to educational recommender systems : contextual Thompson sampling for learner skill gain optimization

Active learning to guide labeling efforts for question difficulty estimation

Simulating student interactions for virtual pretesting with in-context learning

Ordinal regression for question difficulty estimation with transformer-based neural networks

Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring

Automated data generation for assessing sheet metal bending manufacturability

Ordinality in discrete-level question difficulty estimation : introducing balanced DRPS and OrderedLogitNN

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