20 citations · 28 across the 3 of their papers we have counts for
3 papers
Estimating Item Difficulty with Large Language Models as Experts
Diana Kolesnikova, Kirill Fedyanin, Abe D. Hofman +2
Accurate estimates of item difficulty are essential for valid assessment and effective adaptive learning. However, for newly created tasks, response data are typically unavailable.…
All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees
Jan Martijn E. M. van der Werf, Artem Polyvyanyy, Bart R. van Wensveen +2
The aim of a process discovery algorithm is to construct from event data a process model that describes the underlying, real-world process well. Intuitively, the better the quality…
Contrastive Explanations with Local Foil Trees
Jasper van der Waa, Marcel Robeer, Jurriaan van Diggelen +2
Recent advances in interpretable Machine Learning (iML) and eXplainable AI (XAI) construct explanations based on the importance of features in classification tasks. However, in a h…