4 papers
A Bandit-Based Approach to Educational Recommender Systems: Contextual Thompson Sampling for Learner Skill Gain Optimization
Lukas De Kerpel, Arthur Thuy, Dries F. Benoit
In recent years, instructional practices in Operations Research (OR), Management Science (MS), and Analytics have increasingly shifted toward digital environments, where large and…
Ordinality in Discrete-level Question Difficulty Estimation: Introducing Balanced DRPS and OrderedLogitNN
Arthur Thuy, Ekaterina Loginova, Dries F. Benoit
Recent years have seen growing interest in Question Difficulty Estimation (QDE) using natural language processing techniques. Question difficulty is often represented using discret…
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification
Arthur Thuy, Dries F. Benoit
Image classification with neural networks (NNs) is widely used in industrial processes, situations where the model likely encounters unknown objects during deployment, i.e., out-of…
Active Learning to Guide Labeling Efforts for Question Difficulty Estimation
Arthur Thuy, Ekaterina Loginova, Dries F. Benoit
In recent years, there has been a surge in research on Question Difficulty Estimation (QDE) using natural language processing techniques. Transformer-based neural networks achieve…