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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)."
Derniers dépôts
Collaborations
Number of fulltexts
921
Number of references
596
Keywords
Image reconstruction
Audio-visual speech enhancement
Hyperspectral
Random matrix theory
Output feedback
Adaptation models
Agriculture
Machine Learning
Object detection
Éthique
Continuous positive airway pressure
Obstructive sleep apnea
Co-design
Spectral clustering
Data models
Sparsity
Speech motor control
Nash equilibrium
Convex optimization
Training
Endmember variability
Self-supervised learning
Detectors
Intelligence artificielle
OSA
Automatic speech recognition
Super-resolution
Convolution
Artificial Intelligence AI
Variational inference
Speech production
Pansharpening
Privacy
Algorithmes
Unsupervised learning
Affect stories
Asymptotic stability
Semantic segmentation
Deep learning
AI Governance
Predictive coding
Representation learning
Remote sensing
Machine learning
COVID-19
Speech synthesis
Stochastic approximation
Spatial frequencies
Stochastic differential equations
Adherence
Dimensionality reduction
Asymptotic normality
Data visualization
Image fusion
Multispectral
Alternating direction method of multipliers
Evaluation
Europe
Manifold learning
Big data
Dictionaries
Deep Learning
Computer vision
Kernel methods
Data fusion
Fairness
Autism
AI
Online learning
Convolutional neural networks
Digital public health
Spatial resolution
Alternating direction method of multipliers ADMM
Prediction
Classification
Remote sensing RS
Optimization
Data mining
Feature extraction
Stabilization
Air pollution
Optimal control
Sleep apnea
Artificial intelligence
Scheduling
Ethics
Infinite-dimensional systems
Attention mechanism
Task analysis
Digital health e-health
Deep learning DL
Hyperspectral imaging
Generative models
Anomaly detection
Chronic obstructive pulmonary disease
Agricultural exposome
Artificial Intelligence
Hyperspectral image
Tensors
Neural networks