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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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Keywords

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