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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
878
Number of references
583
Keywords
Stochastic differential equations
Data fusion
Audio-visual speech enhancement
Fairness
Speech production
Convex optimization
Obstructive sleep apnea
Co-design
Stochastic approximation
Machine learning
Stabilization
Classification
Super-resolution
Digital health e-health
Convolution
Speech motor control
Deep learning DL
Optimization
Object detection
AI
Agriculture
Pansharpening
Speech synthesis
Detectors
Spatial resolution
COVID-19
Asymptotic stability
Privacy
Spectral clustering
Output feedback
Nash equilibrium
Alternating direction method of multipliers
Deep learning
Online learning
Neural networks
Variational inference
Hyperspectral image
Random matrix theory
Computer vision
Scheduling
Alternating direction method of multipliers ADMM
Optimal control
Hyperspectral imaging
Ethics
Semantic segmentation
Autism
Remote sensing RS
Task analysis
Machine Learning
Deep Learning
Evaluation
Feature extraction
Intelligence artificielle
Multispectral
Unsupervised learning
Predictive coding
Backstepping
Adaptation models
Manifold learning
Asymptotic normality
Prediction
Kernel methods
Artificial Intelligence AI
Data visualization
Biometrics
Data mining
Infinite-dimensional systems
Anomaly detection
Continuous positive airway pressure
Data models
Generative models
AI Governance
Representation learning
Digital public health
Agricultural exposome
Remote sensing
Air pollution
Algorithmes
Attention mechanism
Chronic obstructive pulmonary disease
Éthique
Image fusion
Spatial frequencies
Endmember variability
Dimensionality reduction
Training
Adherence
Convolutional neural networks
Automatic speech recognition
Sparsity
Big data
Artificial Intelligence
Europe
Artificial intelligence
Image reconstruction
Dictionaries
Hyperspectral
Sleep apnea
Tensors
Affect stories