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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

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