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

Chargement de la page

Number of references

Chargement de la page

Keywords

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