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