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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
926
Number of references
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Keywords
AI
Optimal control
Representation learning
Kernel methods
Unsupervised learning
Endmember variability
Air pollution
Deep learning
Automatic speech recognition
Audio-visual speech enhancement
Evaluation
Obstructive sleep apnea
Speech production
Hyperspectral
Telemonitoring
Nash equilibrium
Semantic segmentation
Deep learning DL
Agriculture
Machine Learning
Online learning
Big data
Object detection
Autism
Dimensionality reduction
Data visualization
Stabilization
Digital public health
Adaptation models
Alternating direction method of multipliers ADMM
Alternating direction method of multipliers
Co-design
Multispectral
Generative models
Innovation
Fairness
Convolution
Training
Stochastic differential equations
Image fusion
Ethics
Data fusion
Spectral clustering
Predictive coding
Data mining
Dictionaries
Agricultural exposome
Speech motor control
Pansharpening
Self-supervised learning
Convolutional neural networks
Artificial Intelligence
Hyperspectral imaging
Intelligence artificielle
Task analysis
Spatial frequencies
Neural networks
Asymptotic stability
Sex differences
Prediction
Algorithmes
Adherence
Hyperspectral image
Variational inference
OSA
Éthique
Stochastic approximation
Anomaly detection
Super-resolution
Random matrix theory
Affect stories
Data models
Privacy
Detectors
Digital health e-health
Manifold learning
Output feedback
Remote sensing RS
Chronic obstructive pulmonary disease
Artificial intelligence
Machine learning
AI Governance
COVID-19
Feature extraction
Infinite-dimensional systems
Continuous positive airway pressure
Remote sensing
Classification
Europe
Speech synthesis
Convex optimization
Optimization
Deep Learning
Tensors
Spatial resolution
Computer vision
Sleep apnea
Sparsity
Scheduling
Image reconstruction