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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

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