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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
870
Number of references
585
Keywords
Image reconstruction
Classification
Privacy
Speech synthesis
Detectors
Optimization
Optimal control
Asymptotic stability
Audio-visual speech enhancement
Machine learning
Manifold learning
Dimensionality reduction
Representation learning
AI
Data mining
Image fusion
Brain
Task analysis
Fairness
Speech motor control
Hyperspectral image
Ethics
Alternating direction method of multipliers
Biometrics
Adaptation models
Hyperspectral imaging
Anomaly detection
Artificial intelligence
Feature extraction
Alternating direction method of multipliers ADMM
Online learning
Stochastic differential equations
Data fusion
Infinite-dimensional systems
Prediction
Training
Deep learning
Data visualization
Co-design
Super-resolution
Multispectral
Stochastic approximation
Éthique
Adherence
Sparsity
Evaluation
Attention mechanism
Automatic speech recognition
Semantic segmentation
Artificial Intelligence AI
Spectral clustering
Tensors
Backstepping
Continuous positive airway pressure
Neural networks
Hyperspectral
Random matrix theory
Machine Learning
Stabilization
Convolution
Algorithmes
Unsupervised learning
Convex optimization
Pansharpening
Kernel methods
Deep learning DL
Agriculture
Data models
Artificial Intelligence
Europe
AI Governance
Digital health e-health
Affect stories
Output feedback
Remote sensing RS
Chronic obstructive pulmonary disease
Agricultural exposome
Endmember variability
Object detection
Convolutional neural networks
Community detection
Intelligence artificielle
Sleep apnea
Generative models
Obstructive sleep apnea
Dictionaries
Spatial resolution
Remote sensing
Deep Learning
Speech production
Asymptotic normality
Variational inference
Digital public health
Computer vision
Air pollution
Big data
Scheduling
Nash equilibrium
CPAP
COVID-19