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

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