\chapter{Publications}

Pendant le travail de cette thèse, plusieurs articles ont été produits en explicitant les contributions réalisées, en parallèle d'autres publications ont été produites dans le cadre de la recherche en informatique.\\

\section{Publications par rapport au sujet de thèse}

Daniel Soto Forero, Julien Henriet and Marie-Laure Betbeder. Ensemble Stacking Case-Based Reasoning and a Stochastic Recommender Algorithm with the Hawkes Process Applied to ITS AI-VT. (ITS - International Conference on Intelligent Tutoring Systems) 2025.\\

Daniel Soto Forero, Julien Henriet and Marie-Laure Betbeder. Modèle de Recommandation Stochastique et de Raisonnement à Partir de Cas Appliqué à AI-VT. (EIAH - Conférence sur les Environnements Informatiques pour l'Apprentissage Humain) 2025.\\

Daniel Soto Forero, Julien Henriet and Marie-Laure Betbeder. Integration of Stacking Case-Based Reasoning with a Multi-Agent System Applied to Regression Problems. (JCST - Journal of Computer Science and Technology) 2025.\\

Daniel Soto Forero, Simha Ackermann, Marie-Laure Betbeder and Julien Henriet. The Intelligent Tutoring System AI-VT with Case-Based Reasoning and Real Time Recommender Models. International Conference on Case Based Reasoning (ICCBR - International Conference on Case-Based Reasoning). 2024.\\

Daniel Soto Forero, Marie-Laure Betbeder and Julien Henriet. Ensemble Stacking Case-Based Reasoning for Regression. International Conference on Case Based Reasoning (ICCBR - International Conference on Case-Based Reasoning). 2024.\\

Daniel Soto Forero, Simha Ackermann, Marie-Laure Betbeder and Julien Henriet. Automatic Real-Time Adaptation of Training Session Difficulty Using Rules and Reinforcement Learning in the AI-VT ITS. International Journal of Modern Education and Computer Science (IJMECS - International Journal of Modern Education and Computer Science). 2024.\\

\section{Autres publications}

Daniel Soto Forero and Yony Ceballos. Metaheuristics Hybridation and Parametrization using Machine Learning. 2025.\\

Daniel Soto Forero and Wilson Soto Forero. Efficient Exploration in Unknown Environments: An Adaptative Multi-Agent Approach. 19th Iberian Conference on Information Systems and Technologies. 2024.\\

Daniel Soto Forero and Yony Ceballos. Stochastic agent-based models optimization applied to the problem of rebalancing bike-share systems. International Journal of Electrical and Computer Engineering. 2024.\\

Daniel Soto Forero and Wilson Soto Forero. A Multi-Agent Based Algorithm for Quadratic Assignment Problem. IEEE Latin American Conference on Computational Intelligence. 2023.\\