Fabien Teytaud

61 total papers · 652 total citations
5 papers, 71 citations indexed

Fabien Teytaud is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Fabien Teytaud has authored 5 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Fabien Teytaud’s work include Metaheuristic Optimization Algorithms Research (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Fabien Teytaud is often cited by papers focused on Metaheuristic Optimization Algorithms Research (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Fabien Teytaud collaborates with scholars based in France, Australia and Czechia. Fabien Teytaud's co-authors include Sebástien Vérel, Mei‐Hui Wang, Jean‐Baptiste Hoock, Olivier Teytaud, Arpad Rimmel, Chang-Shing Lee, Jérémy Rapin, Jialin Liu, Mike Preuß and A. Moreau and has published in prestigious journals such as Computers and Electronics in Agriculture, IEEE Computational Intelligence Magazine and ICGA Journal.