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