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