Contacts

Nicolas Labroche

University of Tours (France), LIFAT, nicolas.labroche@univ-tours.fr

Nicolas Labroche’s research pertains to the development of user-centric data mining approaches with a specific interest in explainability and data exploration. He has contributed in several fields such as semisupervised soft (fuzzy or evidential) clustering algorithms, user modeling and profiling via clustering approaches. He is a member of committees and reviewer for conferences (IJCAI, AAAI, ADBIS, DOLAP, FuzzIEEE, EDBT, PAKDD) and journals (Computational Intelligence, Pattern Recognition, Fuzzy Sets and Systems) related to these topics. He has actively participated in the organization of several events nationaly (GdR Madics Fender and Help about XAI, workshop chair@EGC 2022 conference, co-head of Explain’AI@EGC workshop) or the eBISS summer School 2016 and QAUCA 2019 and 2020 ADBIS workshops.

Julien Aligon

University Toulouse Capitole (France), IRIT, julien.aligon@irit.fr

Julien Aligon (https://www.irit.fr/~Julien.Aligon/) is Associate Professor at Toulouse 1 University, and researcher at IRIT (SIG team). His research topics are mainly focused on the field of prediction explanation (in particular post-hoc explanations; Cugny, 2022; Ferrettini 2022) and recommender systems (Drushku 2019). He is also co-head of the national Madics GdR HELP action and Explain’AI@EGC workshop.

Paul Monsarrat

RESTORE and Department of Oral Medicine (France), paul.monsarrat@univ-tlse3.fr

Paul Monsarrat is a dental surgeon graduated from the University of Toulouse III (France) and received his PhD in Physiopathology in 2016. He belongs to the Artificial and Natural Intelligence Toulouse Institute (ANITI). He works on the identification of oral predictive signatures of aging, particularly periodontal, using in-silico modeling, multispectral imaging, machine learning and bioinformatics. His work integrates explainability in the biomedical domain with the use of agent-based models and local additive explanation methods.

Robin Cugny

SolutionData Group, IRIT, robin.cugny@irit.fr

Robin Cugny is a PhD candidate in eXplainable Artificial Intelligence (XAI) field with IRIT laboratory and SolutionData Group company. He works on explanation evaluation, XAI solution recommendation, and interactive clustering. He is in charge of the creation of the website and helps in the organization of the workshop.

Haomiao Wang

RESTORE (France), haomiao.wang@inserm.fr

Haomiao Wang is a PhD candidate in XAI field with RESTORE laboratory. She works on feature selection with explanations. She is in charge of the creation of the website and helps in the organization of the workshop.