Titlebook: Business Intelligence; 7th International Co Mohamed Fakir,Mohamed Baslam,Rachid El Ayachi Conference proceedings 2022 Springer Nature Switz

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Decision Boundary to Improve the Sensitivity of Deep Neural Networks Modelsf minor information perturbations. In particular, the presence of contradictory examples causes a big weakness and insufficiency of deep learning models in many areas, such as illness recognition. The aim of our paper is to improve the robustness of deep neural network models to small input perturba

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Facial Expression Recognition Using a Hybrid ViT-CNN Aggregatoration between same expression, computational complexity, and it requires a large amount of data. This paper presents a novel approach to the FER task. We are motivated by the success of Vision Transformer (ViT) and the Convolutional Neural Network (CNN) on image classification in general and facial

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