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