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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

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