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