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