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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
869
Number of references
Keywords
Data visualization
Convolution
Manifold learning
Representation learning
Spectral clustering
Variational inference
Dimensionality reduction
Random matrix theory
Big data
Online learning
Multispectral
Asymptotic normality
Prediction
Éthique
Deep learning
Spatial resolution
Image reconstruction
Speech synthesis
Speech motor control
Nash equilibrium
Continuous positive airway pressure
Super-resolution
Kernel methods
Machine Learning
Obstructive sleep apnea
Sparsity
Attention mechanism
Audio-visual speech enhancement
Deep learning DL
Data models
Asymptotic stability
Infinite-dimensional systems
Pansharpening
Hyperspectral image
Data mining
Affect stories
Stabilization
Fairness
Convex optimization
Generative models
Agriculture
Agricultural exposome
Adaptation models
Detectors
Object detection
Neural networks
Air pollution
Task analysis
Sleep apnea
Alternating direction method of multipliers ADMM
Scheduling
Hyperspectral imaging
CPAP
Biometrics
Automatic speech recognition
Stochastic differential equations
Backstepping
Stochastic approximation
Image fusion
Hyperspectral
Alternating direction method of multipliers
Artificial Intelligence
Classification
Dictionaries
Convolutional neural networks
Remote sensing RS
Algorithmes
Europe
COVID-19
Digital health e-health
Anomaly detection
Brain
Optimal control
Adherence
Evaluation
Artificial intelligence
AI
Output feedback
Remote sensing
Unsupervised learning
Ethics
Data fusion
Speech production
Artificial Intelligence AI
Machine learning
Computer vision
Privacy
Intelligence artificielle
Chronic obstructive pulmonary disease
Deep Learning
Optimization
Co-design
Tensors
Community detection
Feature extraction
Semantic segmentation
Digital public health
AI Governance
Endmember variability
Training