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