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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

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