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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

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