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