Publications

Scientific publications and presentations

2025

• Chardron, C. & Chraibi Kaadoud I. (2025) Vers une IA digne de confiance dans l’expertise humaine et organisationnelle : enseignements du terrain à l’ère de l’AI Act. The 2nd Conference Société et IA 2025 @PFIA 2025, June 2025, Dijon, France

2024

• Maranne,A., Fontaine-Say, C. & Chraibi Kaadoud I. (2024) IA générative et désinformation : quel impact sur les rapports de force existants en géopolitique ?. The 1st Conference Société et IA 2024 @PFIA 2024, July 2024, La Rochelle, France (link to the paper: hal-04641759v1)

• Colin, M. & Chraibi Kaadoud I. (2024) Performances et explicabilité de ViT et d’architectures CNN : une étude empirique utilisant LIME, SHAP et GradCam. The 23th Conference Rencontres des Jeunes Chercheurs en Intelligence Artificielle, RJCIA 2024 @PFIA 2024, July 2024, La Rochelle, France (link to the paper: hal-04641791)

• Part of the program committee of the 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, one of the leading conferences in Artificial Intelligence in Europe and one of the major general AI conferences worldwide.

2023

• Makaremi, M., Vafaei Sadr, A., Marcy, B., Chraibi Kaadoud, I., Mohammad-Djafari, A., Sadoun, S., … & N’kaoua, B. (2023). An interpretable machine learning approach to study the relationship between retrognathia and skull anatomy. Scientific Reports, 13(1), 18130. https://doi.org/10.1038/s41598-023-45314-w Journal: Impact factor 4.6, SRJ Q1 Multidisciplinary

• Chraibi Kaadoud, I. , L’intelligence artificielle explicable pour une meilleure compréhension des données naturalistes, Book Chapter in Le lien à la nature à l’ère numérique, ouvrage dans la catégorie « Sciences, société et nouvelles technologiques », Edition ISTE, Juillet 2023, ISBN papier : 9781784059446, ISBN ebook : 9781784069445

• Part of the program committee of https://xaiworldconference.com, the first world conference on eXplainable AI. More information here.

• Bernault, C., Juan, S., Delmas, A., Andre, J. M., Rodier, M., & Chraibi Kaadoud, I. (2023) Assessing the impact of cognitive biases in AI project development. The 25th International Conference on Human-Computer Interaction HCI International (HCII) 2023, 23-28 July 2023, Copenhagen, Denmark <hal-04007898>

2022   

• Chraibi Kaadoud,I., Bennetot, A., Mawhin, B., Charisi, V., & Díaz-Rodríguez, N. (2022). Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI. Neural Networks, 155, p.95-118. 10.1016/j.neunet.2022.08.002 Journal: Rank A, impact factor 9.657, SRJ Q1 Artificial Intelligence Q1 Cognitive Neuroscience

• Chraibi Kaadoud, I., Fahed, L., Tian, T., Haralambous, Y., & Lenca, P. (2022). Explaining complex system of multivariate times series behavior. The 17th Women in Machine Learning Workshop WiML @ Neurips 2022, Nov 2022, Louisiana, USA

• Chraibi Kaadoud,I., Bennetot, A., Mawhin, B., Charisi, V., & Díaz-Rodríguez, N. (2022). Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI. The 17th Women in Machine Learning Workshop WiML @ Neurips 2022, Nov 2022, Louisiana, USA

• Chraibi Kaadoud, I., Fahed, L., Tian, T., Haralambous, Y., & Lenca, P. (2022). Automata-based explainable representation for a complex system of multivariate times series. The 14th International Conference on Knowledge Discovery and Information Retrieval KDIR @ IC3K 2022, Oct 2022, Valetta, Malta

• Chraibi Kaadoud, I., Fahed, L., Tian, T., Haralambous, Y., & Lenca, P. (2022) XR-CSB: EXplainable Representation of Complex System Behavior using automata for multivariate times series. The 7th French National Conference on Practical Applications of Artificial Intelligence APIA* @PFIA 2022, Jun 2022, Saint-Etienne, France

*APIA = Applications Pratiques de l’Intelligence Artificielle (in French)

• Part of the program committee of MRC@IJCAI 2022. More information here.

• Chraibi Kaadoud, I., Rougier, N., & Alexandre, F. (2022). Knowledge extraction from the learning of sequences in a long short-term memory (LSTM) architecture. Knowledge-Based Systems, 235, 107657. ⟨10.1016/j.knosys.2021.107657⟩. ⟨hal-03437920⟩ Journal: Rank A, impact factor 8.038, SRJ Q1 Artificial Intelligence

2021   

• Chraibi Kaadoud, I., Fahed, L., & Lenca, P. (2021).Explainable AI: a narrative review at the crossroad of Knowledge Discovery, Knowledge Representation and Representation Learning”. The 12th International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021, Aug 2021, Montréal (virtual), Canada. pp.28-40. Link to the article: ⟨hal-03343687⟩; Link to the video; Link to the associated poster

• Boulos, L. J., Mendes, A., Delmas, A., & Chraibi Kaadoud, I. (2021) An Iterative and Collaborative End-to-End Methodology Applied to Digital Mental Health. Frontiers in Psychiatry, Frontiers, 12, ⟨10.3389/fpsyt.2021.574440⟩. ⟨hal-03352727⟩ Journal: Impact Factor = 3.822, SRJ Q1 Psychiatry and Mental Health

• Cazes, M., Franiatte, N., Delmas, A., André, J. M., Rodier, M., & Chraibi Kaadoud I. (2021) Evaluation of the influence of cognitive biases in the design of artificial intelligence. The 20th Conference ”Rencontres des Jeunes Chercheurs en Intelligence Artificielle, RJCIA 2021, Jun 2021, Bordeaux, France ⟨hal-03298746⟩

2019   

• Chraibi Kaadoud, I., Rougier, N., & Alexandre, F. (2019). Modeling Implicit Learning: Extracting Implicit Rules from Sequences using LSTM (Extended Abstract). Poster presentation at the 14th Women in Machine Learning Workshop (WiML 2019), NeurIPS 2019, December 2019, Vancouver, Canada. URL

2018   

• Chraibi Kaadoud,I.(2018) Sequence learning and rule extraction from recurrent networks: application to the tracing of technical diagrams. PhD thesis, Bordeaux University, Bordeaux, France. URL

2017   

• Chraibi Kaadoud, I., Rougier, N., & Alexandre, F.  (2017) Implicit knowledge extraction and structuration from electrical diagrams. The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. URL

Keynotes/Talks

2021

• Chraibi Kaadoud, I.(2021). L’intelligence artificielle explicable pour une meilleure compréhension des données naturalistes. Journée d’étude interdisciplinaire MIMESIS “Penser le(s) lien(s)”, Groupe de recherche sur les enjeux de la communication (GRESEC); Grenoble Alpes University, Sep 2021, Grenoble, France. Link to the video (in french)

• Chraibi Kaadoud, I. (2021) “Long Short Term Memory, LSTM” Lecture presenting the mathematical functioning of LSTM, as well as a demonstration of implementation with Keras framework and Jupyter Notebook. AI4Industry2021 Workshop organized by Inria, Aquitaine Robotics, Arts et métier, Enseirb Matmeca of Bordeaux INP, CATIE and University of Bordeaux