A Decentralized Approach to Explanatory Artificial Intelligence for Autonomic Systems. - Étienne Houzé; Ada Diaconescu; Jean-Louis Dessalles; David Menga; Mathieu Schumann (ACSOS Companion, 2020)

To do or not to do: finding causal relations in smart homes. - Kanvaly Fadiga; Étienne Houzé; Ada Diaconescu; Jean-Louis Dessalles (ACSOS, 2021)

A generic and decentralized approach to XAI for autonomic systems: application to the smart home. - Étienne Houzé (ACSOS-C, 2021)

A Decentralized Explanatory System for Intelligent Cyber-Physical Systems. - Étienne Houzé; Jean-Louis Dessalles; Ada Diaconescu; David Menga; Mathieu Schumann (IntelliSys (1), 2021)

Using Decentralised Conflict-Abduction-Negation in Policy-making. - Étienne Houzé; Ada Diaconescu; Jean-Louis Dessalles (AMPM@JURIX, 2021)

A generic and modular reference architecture for self-explainable smart homes. - Étienne Houzé; Ada Diaconescu; Jean-Louis Dessalles; David Menga (ACSOS, 2022)

Multi-scale model-based explanations for cyber-physical systems: the urban traffic case. - Ada Diaconescu; Étienne Houzé; Jean-Louis Dessalles; Hans Vangheluwe; Romain Franceschini (MoDELS (Companion), 2022)

What Should I Notice? Using Algorithmic Information Theory to Evaluate the Memorability of Events in Smart Homes. - Étienne Houzé; Jean-Louis Dessalles; Ada Diaconescu; David Menga (Entropy, 2022)

A generic and adaptive approach to explainable AI in autonomic systems: the case of the smart home. (Approche générique et adaptative de l'intelligence artificielle explicative pour les systèmes autonomiques connectés, appliquée à la maison intelligente). - Étienne Houzé (2022)

Improving Causal Learning Scalability and Performance using Aggregates and Interventions. - Kanvaly Fadiga; Étienne Houzé; Ada Diaconescu; Jean-Louis Dessalles (ACM Trans. Auton. Adapt. Syst., 2023)