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

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