Publications

Scientific publications and presentations

2023

• C. Bernault, S. Juan, A. Delmas, JM. Andre, M. Rodier, I. Chraibi Kaadoud (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   

• I. Chraibi Kaadoud, A. Bennetot, B. Mawhin, V. Charisi & N. Díaz-Rodríguez (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

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

• I. Chraibi Kaadoud, A. Bennetot, B. Mawhin, V. Charisi & N. Díaz-Rodríguez (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

• I. Chraibi Kaadoud, L. Fahed, T. Tian, Y. Haralambous, P. Lenca (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

• I. Chraibi Kaadoud, L. Fahed, T. Tian, Y. Haralambous, P. Lenca (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.

• I.Chraibi Kaadoud, N. P. Rougier, F. Alexandre (2019) (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   

• I.Chraibi Kaadoud, L. Fahed, P. Lenca. (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

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

• M. Cazes, N. Franiatte, A. Delmas, J-M. André, M. Rodier, I. Chraibi Kaadoud(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   

• I.Chraibi Kaadoud, N. P. Rougier, F. Alexandre (2019) ”Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture”. arXiv preprint arXiv:1912.03126. URL  

• I.Chraibi Kaadoud, N. P. Rougier, F. Alexandre (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   

• I.Chraibi Kaadoud(2018) ”Sequence learning and rule extraction from recurrent networks: application to the tracing of technical diagrams”. PhD thesis in computer science under the supervision of Frédéric Alexandre and Nicolas Rougier, Bordeaux, University of Bordeaux URL

2017   

• I.Chraibi Kaadoud, N. P. Rougier, F. Alexandre (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

• I.Chraibi Kaadoud (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); Université de Grenoble Alpes, Sep 2021, Grenoble, France. Link to the video (in french)

• I.Chraibi Kaadoud (2021) “eXplainable Artificial intelligence: From machine to humans, how to make them collaborate?”. WiDS 2021 : Women in data science Benguerir* @ UM6P : Data science between academia and industry, MSDA (Modeling Simulation & Data Analysis), Mohammed VI Polytechnic University, Mar 2021, Ben Guerir (virtuel), Morocco. Link to the video (in english)

* Women In Data Science Benguerir is a regional implementation of Stanford’s program for the promotion of women in data science

• I.Chraibi Kaadoud, Lina Fahed. (2021) Intelligence artificielle explicable : vers des systèmes transparents, acceptables et éthiques. Women TechMakers** 2021, Google, Mar 2021, Montréal et Québec (virtuel), Canada. Link to the video (in french)

** Women TechMakers Montréal & Québec is a Google Cloud Developers program for the promotion of women in computing

• I.Chraibi Kaadoud (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

2019

• I.Chraibi Kaadoud (2019) “Testimonial: how python help me go through my PhD in machine learning ?”, PyConFr 2019 Conference organized by AFPy, the French-speaking Python Association, entirely run by volunteers and dedicated to bringing together people interested in the Python programming language, Bordeaux, France. Talk description : URL; Video of the talk (in French): URL

Scientific outreach

Software

2020

• F. Alexandre, D. Chiron, I. Chraibi Kaadoud, M. Courbin-Coulaud, S.Dagar, et al.. Neurosmart, une histoire de cerveau et de passionné·e·s de science. [Technical Report] RT-0509, Inria. 2020, pp.19. URL : hal-03013647

2016-2019

• ”Neurosmart ”: Co-creation within the Inria mnemosyne team of a software allowing to run demonstrative scenarios for the general public around the functioning of the brain. These scenarios bring into play cerebral functions at the origin of vital sensory-motor and cognitive behaviors: instinctive and motivated behavior, selection of the embodied action, emotional decision making or not, seat of self-awareness, etc…. Code and explanation available on gitlab in open source at the following link: URL Gitlab.inria.fr