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