index - Multidisciplinary Institute in Artificial intelligence - Grenoble Alpes Access content directly

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)."

 

 

Derniers dépôts

Chargement de la page

 

Collaborations

 

 

Number of fulltexts

890

Number of references

592

Keywords

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