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MIAI Grenoble Alpes (Multidisciplinary Institute in Artificial Intelligence) aims to conduct research in artificial intelligence at the highest level, to offer attractive courses for students and professionals of all levels, to support innovation in large companies, SMEs and startups and to inform and interact with citizens on all aspects of AI.

The activities of MIAI Grenoble Alpes are structured around two main themes : future AI systems and AI for human beings the environment.

Instructions to authors: If your research work has been supported by the MIAI Grenoble Alpes, please mention in your article:  "This work has been partially supported by MIAI@Grenoble Alpes, (ANR-19-P3IA-0003)."



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Image fusion Agriculture Endmember variability Classification Machine learning Convolutional neural networks Co-design Alternating direction method of multipliers ADMM Alternating direction method of multipliers Optimization Detectors Attention mechanism Stabilization Sparsity Optimal control Artificial Intelligence AI AI Dimensionality reduction Spectral clustering Stochastic approximation Adherence Prediction Intelligence artificielle Deep learning DL Generative models Neural networks Scheduling Stochastic differential equations Task analysis Data fusion Speech motor control Europe Training Adaptation models Audio-visual speech enhancement Digital public health Super-resolution Random matrix theory Fairness Hyperspectral imaging Evaluation Image reconstruction Éthique Data visualization Asymptotic stability Data models Dictionaries Obstructive sleep apnea Object detection Chronic obstructive pulmonary disease Air pollution Digital health e-health Asymptotic normality Hyperspectral image Unsupervised learning Predictive coding Privacy Tensors Agricultural exposome Multispectral Artificial intelligence Kernel methods Biometrics Manifold learning Semantic segmentation Remote sensing Big data Data mining Backstepping Speech production Affect stories Pansharpening COVID-19 AI Governance Deep learning Deep Learning Representation learning Spatial frequencies Continuous positive airway pressure Sleep apnea Hyperspectral Automatic speech recognition Anomaly detection Convex optimization Remote sensing RS Algorithmes Variational inference Machine Learning Output feedback Nash equilibrium Spatial resolution Infinite-dimensional systems Artificial Intelligence Computer vision Ethics Convolution Speech synthesis Autism Online learning Feature extraction