DeepExpert : vers une Intelligence Artificielle autonome et explicable. - Romain Orhand; Anne Jeannin-Girardon; Pierre Parrend; Pierre Collet (RJCIA, 2019)

BACS: integrating behavioral sequences to ACS2. - Romain Orhand; Anne Jeannin-Girardon; Pierre Parrend; Pierre Collet (GECCO Companion, 2020)

PEPACS: integrating probability-enhanced predictions to ACS2. - Romain Orhand; Anne Jeannin-Girardon; Pierre Parrend; Pierre Collet (GECCO Companion, 2020)

BACS: A Thorough Study of Using Behavioral Sequences in ACS2. - Romain Orhand; Anne Jeannin-Girardon; Pierre Parrend; Pierre Collet (PPSN (1), 2020)

Explainability and performance of anticipatory learning classifier systems in non-deterministic environments. - Romain Orhand; Anne Jeannin-Girardon; Pierre Parrend; Pierre Collet (GECCO Companion, 2021)

Quantification of the transferability of features between deep neural networks. - Romain Orhand; Hiba Khodji; Amarin Hutt; Anne Jeannin-Girardon (KES, 2021)

Spliceator: multi-species splice site prediction using convolutional neural networks. - Nicolas Scalzitti; Arnaud Kress; Romain Orhand; Thomas Weber; Luc Moulinier; Anne Jeannin-Girardon; Pierre Collet; Olivier Poch; Julie Dawn Thompson (BMC Bioinform., 2021)

Accurate and Interpretable Representations of Environments with Anticipatory Learning Classifier Systems. - Romain Orhand; Anne Jeannin-Girardon; Pierre Parrend; Pierre Collet (EuroGP, 2022)

Vers une intelligence artificielle autonome et explcable pour des environnements incertains. (Towards an autonomous and explainable artificial intelligence for uncertain environments). - Romain Orhand (2022)

CRACS: Compaction of Rules in Anticipatory Classifier Systems. - Romain Orhand; Pierre Collet; Pierre Parrend; Anne Jeannin-Girardon (GECCO Companion, 2023)