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ORCIDIkram Chraibi Kaadoud
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Books and Theses
- 2018
[b1]Ikram Chraibi Kaadoud:
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). University of Bordeaux, France, 2018
Journal Articles
- 2022
- [j2]Ikram Chraibi Kaadoud
, Nicolas P. Rougier, Frédéric Alexandre:
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. Knowl. Based Syst. 235: 107657 (2022) - [j1]Ikram Chraibi Kaadoud, Adrien Bennetot, Barbara Mawhin, Vicky Charisi, Natalia Díaz Rodríguez:
Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI. Neural Networks 155: 95-118 (2022)
Conference and Workshop Papers
- 2023
- [c4]Chloé Bernault, Sara Juan, Alexandra Delmas, Jean-Marc André, Marc Rodier, Ikram Chraibi Kaadoud:
Assessing the Impact of Cognitive Biases in AI Project Development. HCI (40) 2023: 401-420 - 2022
- [c3]Ikram Chraibi Kaadoud, Lina Fahed, Tian Tian, Yannis Haralambous, Philippe Lenca:
Automata-based Explainable Representation for a Complex System of Multivariate Times Series. KDIR 2022: 170-179 - 2021
- [c2]Ikram Chraibi Kaadoud, Lina Fahed, Philippe Lenca:
Explainable AI: a narrative review at the crossroad of Knowledge Discovery, Knowledge Representation and Representation Learning. MRC@IJCAI 2021: 28-40 - 2017
- [c1]Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre:
Implicit Knowledge Extraction and Structuration from Electrical Diagrams. IEA/AIE (1) 2017: 235-241
Informal and Other Publications
- 2019
- [i1]Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre:
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. CoRR abs/1912.03126 (2019)
Coauthor Index
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