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