index - Multidisciplinary Institute in Artificial intelligence - Grenoble Alpes

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

Privacy Speech motor control Stochastic approximation Image reconstruction Multispectral Alternating direction method of multipliers ADMM Innovation Digital public health Spatial resolution Random matrix theory Speech synthesis Backstepping Classification Infinite-dimensional systems Nash equilibrium Evaluation Dimensionality reduction Philosophie des techniques Manifold learning Deep Learning Éthique Telemonitoring Unsupervised learning Ethique de l'intelligence artificielle Brain Deep learning Representation learning Dictionaries Ethics Semantic segmentation Hyperspectral imaging Image fusion Convex optimization Tensors Stochastic differential equations Deep learning DL Autism Simulation Data analysis Generative models Optimal controller Fairness Data fusion Adherence Artificial intelligence Spatial frequencies Optimization Convolution Speech production Spectral clustering Self-supervised learning Hyperspectral image Training Output feedback Machine Learning Image processing Object detection Sleep apnea OSA Chronic obstructive pulmonary disease Correlation Scheduling Intelligence artificielle Continuous positive airway pressure Task analysis Digital health e-health Remote sensing Remote sensing RS Algorithmes Image segmentation Detectors Computer vision Hyperspectral Artificial Intelligence Kernel methods Big data Data mining Feature extraction Endmember variability Predictive coding Convolutional neural networks Stabilization Super-resolution Audio-visual speech enhancement Machine learning Asymptotic stability EHealth Sex differences Neural networks Prediction Online learning Santé numérique Variational inference Co-design COVID-19 Automatic speech recognition EEG Pansharpening Optimal control Data models