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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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582
Keywords
Infinite-dimensional systems
Online learning
CPAP
Artificial Intelligence AI
Sparsity
Generative models
Speech motor control
Spatial resolution
Adaptation models
Output feedback
Remote sensing
Image reconstruction
COVID-19
Stochastic differential equations
Deep Learning
Stochastic approximation
Fairness
Dictionaries
Intelligence artificielle
Convolutional neural networks
Endmember variability
Representation learning
Remote sensing RS
Data models
Agricultural exposome
Multispectral
Deep learning
Classification
Pansharpening
Semantic segmentation
Attention mechanism
Digital public health
Data fusion
Artificial Intelligence
Continuous positive airway pressure
Big data
Artificial intelligence
Co-design
Ethics
Manifold learning
Biometrics
Nash equilibrium
AI Governance
Alternating direction method of multipliers ADMM
Tensors
Stabilization
Hyperspectral imaging
Variational inference
Feature extraction
Computer vision
Air pollution
Random matrix theory
Automatic speech recognition
Deep learning DL
Super-resolution
Scheduling
Image fusion
Training
Convex optimization
Convolution
Data mining
Affect stories
Speech synthesis
Asymptotic stability
Community detection
Chronic obstructive pulmonary disease
Digital health e-health
Agriculture
Europe
Prediction
Spectral clustering
Object detection
Hyperspectral
Éthique
AI
Backstepping
Task analysis
Machine learning
Alternating direction method of multipliers
Optimal control
Sleep apnea
Brain
Algorithmes
Asymptotic normality
Audio-visual speech enhancement
Kernel methods
Machine Learning
Obstructive sleep apnea
Detectors
Speech production
Data visualization
Anomaly detection
Optimization
Dimensionality reduction
Hyperspectral image
Evaluation
Privacy
Unsupervised learning
Neural networks
Adherence