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