Spatial relation learning for explainable image classification and annotation in critical applications

R Pierrard, JP Poli, C Hudelot - Artificial Intelligence, 2021 - Elsevier
With the recent successes of black-box models in Artificial Intelligence (AI) and the growing
interactions between humans and AIs, explainability issues have risen. In this article, in the …

Situational assessment of wildfires: a fuzzy spatial approach

L Boudet, JP Poli, LP Bergé… - 2020 IEEE 32nd …, 2020 - ieeexplore.ieee.org
Decision support systems coupled with a Geographic Information System (GIS) are useful for
assessing spatialized risks, which can be either natural, industrial or even anthropic …

[PDF][PDF] Contributions to Explainable Artificial Intelligence: Developing ExpressIF® for Industry and Sciences

JP Poli - 2023 - cea.hal.science
This document aims at presenting a summary of my research and the main results I obtained
since my doctorate in computer science, defended at Université Paul Cézanne in 2007. This …

[PDF][PDF] Recherches en IA explicable au MICS: Modèles gaussiens, modèles génératifs et raisonnement pour l'explicabilité

W OUERDANE, M AMOUSSOU, M CHARACHON… - Bulletin N o 116 - afia.asso.fr
Le laboratoire de Mathématiques et Informatique pour la Complexité et les Systèmes (MICS)
de CentraleSupélec s' intéresse à l'analyse mathématique et informatique des systèmes et …