Thierry Denoeux

About

Thierry Denoeux is a Professeur at Université de Technologie de Compiègne in France. His research areas focus on uncertainty quantification, evidence theory, and machine learning, as reflected in his recent publications, including topics such as evidential K-NN classification and uncertainty measures in regression neural networks. He is actively engaged in advancing methodologies for multimodal medical image segmentation and predictive modeling within various uncertainty frameworks.