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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

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