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