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