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

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