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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Keywords

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