Titlebook: Artificial Intelligence: Theories and Applications; First International Mohammed Salem,Juan Julián Merelo,Fatima Debbat Conference proceed

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Genetic Programming for Screen Content Image Quality Assessmentording the k-fold-cross-validation strategy. The performance of the proposed approach is evaluated, and several experiments are carried using four performance indices (SRCC, PCC, KROCC and RMSE). The results achieve superior performance to state-of-the-art methods in predicting the perceptual quality of SCIs.

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Expanding Convolutional Neural Network Kernel for?Facial Expression Recognitionse a Facial Expression Recognition (FER) method, based on kernel enhanced Convolutional Neural Network (CNN) model. Our method improves the performance of a CNN without increasing its depth nor its width. It consists of expanding the linear kernel function, used at different levels of a CNN. The exp

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Convolution Neural Network Based Approach for Glaucoma Disease Detectionmptoms during the early stages makes it hard to detect. This paper is dedicated to design a convolutional neural network (CNN) based approach to detect and diagnose glaucoma based on the processed funds images. It is divided into two phases: Learning and Classification. Results are promising to dete

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