Predictive coding Detectors Image fusion Stochastic approximation Ethique de l'intelligence artificielle Data analysis Training Convolution Unsupervised learning Generative models Optimal controller Semantic segmentation Image processing Speech motor control Spatial frequencies Santé numérique Artificial Intelligence Deep learning DL Nash equilibrium Image segmentation Spectral clustering Hyperspectral Ethics Deep Learning Optimal control Kernel methods Philosophie des techniques Convolutional neural networks Dimensionality reduction Feature extraction Intelligence artificielle Machine learning Scheduling Spatial resolution Variational inference Classification Brain Asymptotic stability Telemonitoring Task analysis Correlation Alternating direction method of multipliers ADMM Convex optimization Algorithmes Image reconstruction Pansharpening Stabilization Data fusion Adherence COVID-19 Audio-visual speech enhancement Backstepping Stochastic differential equations AI Digital health e-health Digital public health Self-supervised learning Multispectral Super-resolution Data mining Remote sensing RS Prediction Hyperspectral imaging Online learning Co-design Big data Tensors Computer vision Simulation Dictionaries Sex differences EHealth Autism Data models Random matrix theory Machine Learning Optimization Éthique Speech synthesis Representation learning Artificial intelligence Chronic obstructive pulmonary disease Deep learning Sleep apnea Speech production Continuous positive airway pressure Hyperspectral image Neural networks Endmember variability Evaluation Infinite-dimensional systems Remote sensing Manifold learning Automatic speech recognition OSA Output feedback Object detection Innovation Privacy Fairness