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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Number of fulltexts

1 009

Number of references

647

Keywords

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