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A journey through AI and cognitive science

I’m Ikram Chraibi Kaadoud, a researcher in eXplainable AI (XAI) and Cognitive Science working in the field of Human-Centered XAI. This blog presents my research work. Any questions about my topics? Contact me: "ikram.chraibi-kaadoud [at] imt-atlantique.fr"

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Author: Ikram chraibi kaadoud

I’m Ikram Chraibi Kaadoud, a postdoctoral researcher currently working on the subject of eXplainable Artificial Intelligence (XAI) on heterogenous times series. This blog presents my research work. Any questions about my topics? Contact me: "ikram.chraibi-kaadoud [at] imt-atlantique.fr"

How are life episodes stored in the brain?

Last update: 27/02/2023 Here is the adapted version of the answer I posted on Quora (French version) to the question … More

brain, Cognitive modeling, computationnal neurosciences, life episodes, scientific popularization

Digital Health and Digital mental health: an introduction

Short introduction: Artificial intelligence (AI) algorithms together with advances in data storage have made it possible to better characterize, predict, … More

Digital health

Explaining Aha! moment in artificial agents. Paper accepted at Neural Networks!

Last update: 25/10/2022 I am very happy to share with you my first paper in developmental robotics (to learn more … More

Artificial Intelligence, Explainable AI, Knowledge extraction, Machine Learning

Developmental robotics, the study of knowledge development in Artificial Intelligence (AI)

Last update: 18/10/2022 This article for the general public is also co-published in French on the “Blog Binaire”, a scientific … More

Artificial Intelligence, Children, developmental robotics, Education, Knowledge development, Popularization

Paper accepted at APIA@PFIA 2022

Last update: 20/07/2022 From Monday, June 27th to Friday, July 1st, PFIA 2022 is held!PFIA is the Artificial Intelligence Platform … More

DIG Team research seminar (Telecom Paris) about interpretability & Cognitive science

On March 21, 2022, I had the pleasure to visit the DIG team of LTCI at Télécom Paris. I gave a seminar about the … More

MRC 2022 @IJCAI-ECAI: I’m part of the Program Committee !!

Welcome to MRC 2022 @IJCAI-ECAI! I am really happy to announce that I recently joined the program committee of the … More

Ethics, Explainable AI, Knowledge extraction, Machine Learning, Scientific workshop

Hierarchical representations in deep neural networks

Explainability in AI and interpretability in Machine learning are very active areas. However, one of the key concepts in these domains, namely the hierarchical latent representations of deep neural networks and their characteristics, is far from being simple to understand. I propose here a brief definition, extracted from a scientific article

Artificial Intelligence, Interpretability, Knowledge extraction, Machine Learning, Neural networks

Interpretable Machine learning: some needed definitions

Last updated: 15.03.2022 Short introduction: Interpretability in Machine learning is a very active area. The number of publications is exploding, the … More

From Data to Knowledge

Last updated: 27.01.2022 Short introduction: Data is an indispensable element for the development of neural networks in Machine learning and … More

Data, Explainable AI, information, Knowledge, Knwoledge Data Discovery

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Any questions about my topics? Contact me: "ikram.chraibi-kaadoud [at] imt-atlantique.fr"

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