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)."

 

 

Derniers dépôts

Chargement de la page

 

Collaborations

 

 

Number of fulltexts

955

Number of references

619

Keywords

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