Implicit Knowledge Extraction and Structuration from Electrical Diagrams. - Ikram Chraibi Kaadoud; Nicolas P. Rougier; Frédéric Alexandre (IEA/AIE (1), 2017)

Apprentissage de séquences et extraction de règles de réseaux récurrents : application au traçage de schémas techniques. (Sequence learning and rules extraction from recurrent neural networks : application to the drawing of technical diagrams). - Ikram Chraibi Kaadoud (2018)

Explainable AI: a narrative review at the crossroad of Knowledge Discovery, Knowledge Representation and Representation Learning. - Ikram Chraibi Kaadoud; Lina Fahed; Philippe Lenca (MRC@IJCAI, 2021)

Automata-based Explainable Representation for a Complex System of Multivariate Times Series. - Ikram Chraibi Kaadoud; Lina Fahed; Tian Tian; Yannis Haralambous; Philippe Lenca (KDIR, 2022)

Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. - Ikram Chraibi Kaadoud; Nicolas P. Rougier; Frédéric Alexandre (Knowl. Based Syst., 2022)

Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI. - Ikram Chraibi Kaadoud; Adrien Bennetot; Barbara Mawhin; Vicky Charisi; Natalia Díaz Rodríguez (Neural Networks, 2022)

Assessing the Impact of Cognitive Biases in AI Project Development. - Chloé Bernault; Sara Juan; Alexandra Delmas; Jean-Marc André; Marc Rodier; Ikram Chraibi Kaadoud (HCI (40), 2023)