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