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