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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
Nash equilibrium
Variational inference
COVID-19
Data visualization
Kernel methods
Big data
Random matrix theory
Hyperspectral
Data mining
Digital public health
Unsupervised learning
Prediction
Deep learning
Object detection
Generative models
Artificial intelligence
Remote sensing
Super-resolution
Artificial Intelligence
Privacy
Backstepping
Continuous positive airway pressure
Alternating direction method of multipliers
Convex optimization
Automatic speech recognition
Manifold learning
Convolutional neural networks
Intelligence artificielle
Training
Éthique
Biometrics
Data models
Europe
Asymptotic stability
Prosody
Neural networks
Machine Learning
Community detection
Computer vision
Artificial Intelligence AI
Deep learning DL
Output feedback
Classification
Algorithmes
Convolution
Dimensionality reduction
Computational language documentation
Brain
Attention mechanism
Detectors
AI Governance
Obstructive sleep apnea
Image fusion
Stochastic differential equations
Audio-visual speech enhancement
Spatial resolution
Alternating direction method of multipliers ADMM
Agriculture
Machine learning
Speech production
Stochastic approximation
Remote sensing RS
Hyperspectral imaging
Agricultural exposome
Hyperspectral image
CPAP
Chronic obstructive pulmonary disease
Sparsity
Speech synthesis
Scheduling
Anomaly detection
Asymptotic normality
Speech motor control
Fairness
Task analysis
Deep Learning
Adaptation models
Endmember variability
Dictionaries
Feature extraction
Sleep apnea
Optimal control
Adherence
Image reconstruction
Infinite-dimensional systems
Affect stories
Online learning
Air pollution
Data fusion
Multispectral
Pansharpening
Tensors
AI
Stabilization
Digital health e-health
Co-design
Spectral clustering
Ethics
Optimization