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

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