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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
955
Number of references
619
Keywords
Predictive coding
Endmember variability
Dictionaries
Backstepping
Spatial frequencies
Representation learning
Infinite-dimensional systems
Data fusion
Neural networks
Self-supervised learning
OSA
Ethique de l'intelligence artificielle
Santé numérique
Semantic segmentation
Innovation
Image segmentation
Generative models
Simulation
Sleep apnea
Automatic speech recognition
Alternating direction method of multipliers ADMM
Intelligence artificielle
Hyperspectral image
Algorithmes
Data analysis
Digital health e-health
Image reconstruction
AI
EHealth
Online learning
Deep learning
Unsupervised learning
Remote sensing
Classification
Feature extraction
Manifold learning
Privacy
Adherence
Output feedback
Scheduling
Sex differences
Pansharpening
Data visualization
Stabilization
Optimal control
Artificial intelligence
Artificial Intelligence
Super-resolution
Image fusion
Big data
Speech production
Evaluation
Hyperspectral imaging
Chronic obstructive pulmonary disease
Audio-visual speech enhancement
Variational inference
Asymptotic stability
Digital public health
COVID-19
Obstructive sleep apnea
Fairness
Hyperspectral
Spectral clustering
Éthique
Machine Learning
Stochastic approximation
Training
Kernel methods
Nash equilibrium
Remote sensing RS
Dimensionality reduction
AI Governance
Autism
Prediction
Ethics
Image processing
Tensors
Deep Learning
Telemonitoring
Data models
Convolutional neural networks
Optimal controller
Speech motor control
Random matrix theory
Task analysis
Convolution
Computer vision
Continuous positive airway pressure
Speech synthesis
Co-design
Machine learning
Deep learning DL
Optimization
Detectors
Convex optimization
Spatial resolution
Data mining
Stochastic differential equations
Object detection
Multispectral