Explaining a Random Survival Forest by Extracting Prototype Rules. - Klest Dedja; Felipe Kenji Nakano; Konstantinos Pliakos; Celine Vens (PKDD/ECML Workshops (2), 2021)

Explaining random forest prediction through diverse rulesets. - Klest Dedja; Felipe Kenji Nakano; Konstantinos Pliakos; Celine Vens (CoRR, 2022)

Active Learning for Survival Analysis with Incrementally Disclosed Label Information. - Klest Dedja; Felipe Kenji Nakano; Celine Vens (IAL@PKDD/ECML, 2023)

BELLATREX: Building Explanations Through a LocaLly AccuraTe Rule EXtractor. - Klest Dedja; Felipe Kenji Nakano; Konstantinos Pliakos; Celine Vens (IEEE Access, 2023)

SurvivalLVQ: Interpretable supervised clustering and prediction in survival analysis via Learning Vector Quantization. - Jasper de Boer; Klest Dedja; Celine Vens (Pattern Recognit., 2024)

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; et al. (Comput. Methods Programs Biomed., 2025)