Robbe D'hondt

According to our database, Robbe D'hondt authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Oxytrees: Model Trees for Bipartite Learning.

Pedro Ilídio, Felipe Kenji Nakano, Alireza Gharahighehi, Robbe D'hondt, Ricardo Cerri, Celine Vens

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Explainable time-to-progression predictions in multiple sclerosis.

Robbe D'hondt, Klest Dedja, Sofie Aerts, Bart Van Wijmeersch, Tomas Kalincik, Stephen Reddel, Eva Kubala Havrdova, Alessandra Lugaresi, Bianca Weinstock-Guttman, Saloua Mrabet, Patrice Lalive, Allan G. Kermode, Serkan Ozakbas, Francesco Patti, Alexandre Prat, Valentina Tomassini, Izanne Roos, Raed Alroughani, Oliver Gerlach, Samia J. Khoury, Vincent Van Pesch, Maria Jose Sa, Julie Prevost, Daniele Spitaleri, Pamela McCombe, Claudio Solaro, Anneke van der Walt, Helmut Butzkueven, Guy Laureys, Jose Luis Sanchez-Menoyo, Koen de Gans, Abdullah Al-Asmi, Norma Deri, Tunde Csepany, Talal Al-Harbi, William M. Carroll, Csilla Rozsa, Bhim Singhal, Todd A. Hardy, Sudarshini Ramanathan, Liesbet M. Peeters, Celine Vens

Comput. Methods Programs Biomed., 2025

BellatrExplorer: An Interactive Random Forest Local Explainability Dashboard.

Robbe D'hondt, Celine Vens

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track, 2025

Challenging the Binary Classification Paradigm in Longitudinal Health Data Settings.

Robbe D'hondt, Lucy Van Kleunen, Pedro Ilídio, Celine Vens

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Integrating Expert Knowledge in Matrix Factorization.

Changsheng Chen, Robbe D'hondt, Alireza Gharahighehi, Celine Vens, Wim Van Den Noortgate

Proceedings of the Joint Proceedings of LAK 2025 Workshops co-located with 15th International Conference on Learning Analytics and Knowledge (LAK 2025), 2025

Multi-Event Survival-Informed Clustering for Time-to-Worsening in Multiple Sclerosis.

Robbe D'hondt, Jasper de Boer, Celine Vens

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024

Autoassociative Random Forest Clustering.

Robbe D'hondt, Felipe Kenji Nakano, Celine Vens

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models.

Anaïs Tack, Siem Buseyne, Changsheng Chen, Robbe D'hondt, Michiel De Vrindt, Alireza Gharahighehi, Sameh Metwaly, Felipe Kenji Nakano, Ann-Sophie Noreillie

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

Using Machine Learning to Predict the Number of Latent Skills in Online Learning Environments.

Changsheng Chen, Robbe D'hondt, Celine Vens, Wim Van Den Noortgate

Proceedings of the First Workshop on Adaptive Lifelong Learning (ALL 2024) co-located with the 25th International Conference on Artificial Intelligence in Education (AIED 2024), 2024

2023

A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis.

Robbe D'hondt, Sinead Moylett, An Goris, Celine Vens

Proceedings of the Artificial Intelligence in Medicine, 2023