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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

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