| Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture I Chraibi Kaadoud, NP Rougier, F Alexandre Knowledge-Based Systems 235, 107657, 2022 | 16 | 2022 |
| Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI IC Kaadoud, A Bennetot, B Mawhin, V Charisi, N Díaz-Rodríguez Neural Networks 155, 95-118, 2022 | 9 | 2022 |
| Explainable AI: a narrative review at the crossroad of Knowledge Discovery, Knowledge Representation and Representation Learning I Chraibi Kaadoud, L Fahed, P Lenca Twelfth International Workshop Modelling and Reasoning in Context (MRC …, 2021 | 8* | 2021 |
| Apprentissage de séquences et extraction de règles de réseaux récurrents: application au traçage de schémas techniques. I Chraibi Kaadoud Université de Bordeaux, 2018 | 6 | 2018 |
| Implicit knowledge extraction and structuration from electrical diagrams I Chraibi Kaadoud, N Rougier, F Alexandre Advances in Artificial Intelligence: From Theory to Practice: 30th …, 2017 | 6 | 2017 |
| Evaluation of the sensitivity of cognitive biases in the design of artificial intelligence. M Cazes, N Franiatte, A Delmas, JM André, M Rodier, I Chraibi Kaadoud In proceeding of RJCIA 2021 hosted at PFIA 2021, 30, 2021 | 3 | 2021 |
| L’apprentissage profond: une idée à creuser? I Chraibi Kaadoud, T Viéville Interstices, 2016 | 3 | 2016 |
| Automata-based explainable representation for a complex system of multivariate times series IC Kaadoud, L Fahed, T Tian, Y Haralambous, P Lenca IC3K 2022: 14th International Joint Conference on Knowledge Discovery …, 2022 | 2 | 2022 |
| An iterative and collaborative end-to-end methodology applied to digital mental health LJ Boulos, A Mendes, A Delmas, I Chraibi Kaadoud Frontiers in Psychiatry 12, 574440, 2021 | 2 | 2021 |
| Latent space exploration and functionalization of a gated working memory model using conceptors A Strock, NP Rougier, X Hinaut Cognitive Computation 15 (5), 1485-1496, 2023 | 1 | 2023 |
| Performances et explicabilité de ViT et d'architectures CNN: une étude empirique utilisant LIME, SHAP et GradCam M Colin RJCIA 2024-23èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle, 2024 | | 2024 |
| Vision croisée de l'IA Explicable entre philosophie et informatique C Brun, IC Kaadoud | | 2024 |
| Assessing the impact of cognitive biases in AI project development C Bernault, S Juan, A Delmas, JM Andre, M Rodier, I Chraibi Kaadoud International Conference on Human-Computer Interaction, 401-420, 2023 | | 2023 |
| Morphological Information Extraction in medical imaging using deep learning interpretability: application case on craniofacial dysmorphism M MAKAREMI, B MARCY, IC KAADOUD, AV SADR, A Mohammad-Djafari, ... | | 2023 |
| Explaining complex system of multivariate times series behavior IC Kaadoud, L Fahed, T Tian, Y Haralambous, P Lenca Women In Machine Learning WIML@ Neurips 2022, 2022 | | 2022 |
| IA explicable, IA interprétable voyage dans les archives Binaires IC Kaadoud | | 2022 |
| Intelligence artificielle en médecine, faire de l’interprétabilité des réseaux de neurones une boite à outil pour le praticien-Binaire, publication 28 février 2022 du journal … M Makaremi, I Chraibi Kaadoud, T Vieville, P Guitton Revue d'Orthopédie Dento-Faciale 56 (2), 159-162, 2022 | | 2022 |
| L’intelligence artificielle explicable pour une meilleure compréhension des données naturalistes I Chraibi Kaadoud Journée d'étude interdisciplinaire MIMESIS" Penser le (s) lien (s)", 2021 | | 2021 |
| eXplainable Artificial intelligence: From machine to humans, how to make them collaborate? I Chraibi Kaadoud WiDS 2021: Women in data science Benguerir@ UM6P: Data science between …, 2021 | | 2021 |
| Intelligence artificielle explicable: vers des systèmes transparents, acceptables et éthiques I Chraibi Kaadoud, L Fahed | | 2021 |
Frederic AlexandreInria在 inria.fr 的电子邮件经过验证
