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