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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
873
Number of references
582
Keywords
Ethics
Stochastic differential equations
Spatial resolution
Spectral clustering
Artificial intelligence
Task analysis
Alternating direction method of multipliers ADMM
COVID-19
Digital public health
Detectors
Classification
Optimal control
Variational inference
Manifold learning
Pansharpening
Prediction
AI
Remote sensing
Hyperspectral image
Co-design
Random matrix theory
Feature extraction
Semantic segmentation
CPAP
Super-resolution
Representation learning
Deep learning DL
Output feedback
Intelligence artificielle
Artificial Intelligence AI
Speech synthesis
Éthique
Air pollution
Obstructive sleep apnea
Remote sensing RS
Digital health e-health
Europe
Artificial Intelligence
Agricultural exposome
Agriculture
Scheduling
Machine Learning
Neural networks
Stabilization
Training
Image fusion
Automatic speech recognition
Data mining
Object detection
Adaptation models
Privacy
Big data
Multispectral
Optimization
Machine learning
Algorithmes
Sleep apnea
Speech production
Hyperspectral
Unsupervised learning
Affect stories
Deep Learning
Chronic obstructive pulmonary disease
AI Governance
Asymptotic normality
Stochastic approximation
Kernel methods
Generative models
Infinite-dimensional systems
Brain
Alternating direction method of multipliers
Data models
Online learning
Convolution
Biometrics
Data fusion
Convex optimization
Speech motor control
Convolutional neural networks
Dimensionality reduction
Endmember variability
Image reconstruction
Continuous positive airway pressure
Computer vision
Fairness
Audio-visual speech enhancement
Asymptotic stability
Community detection
Attention mechanism
Hyperspectral imaging
Evaluation
Dictionaries
Backstepping
Sparsity
Nash equilibrium
Adherence
Tensors
Data visualization
Deep learning
Anomaly detection