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