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