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