Deep learning based pipelines for semantic segmentation often ignore structural information
available on annotated images used for training. We propose a novel post-processing …

Analyzing the basal ganglia following an early brain lesion is crucial due to their noteworthy
role in sensory–motor functions. However, the segmentation of these subcortical structures …

In this paper, we advocate that combining several frameworks in artificial intelligence,
adopting a hybrid point of view for both knowledge data representation and reasoning, offers …

In this paper, we propose a basis for discussing the role of fuzzy sets theory in the context of
explainable artificial intelligence. We advocate that combining several frameworks in …

We propose to directly compute classification estimates by learning features encoded with
their class scores using PCA. Our resulting model has a encoder-decoder structure suitable …

While symbolic methods and statistical machine learning methods for artificial intelligence
(AI) have been developing rather independently for decades, with alternated predominance …

L'apprentissage profond, notamment en analyse d'images, a connu un essor considérable
ces dernières décennies sans pour autant exploiter la totalité de l'information mise à …