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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
624
Keywords
Asymptotic stability
Deep Learning
Co-design
Autism
Audio-visual speech enhancement
Image reconstruction
Simulation
Remote sensing
Tensors
Multispectral
Machine Learning
Online learning
Convolution
Convolutional neural networks
Sex differences
Variational inference
Santé numérique
Backstepping
Detectors
Algorithmes
Convex optimization
Spatial frequencies
Stochastic differential equations
Data analysis
Unsupervised learning
Continuous positive airway pressure
Data mining
AI Governance
Speech synthesis
EHealth
Sleep apnea
Speech motor control
Hyperspectral
Adherence
Nash equilibrium
Digital health e-health
Hyperspectral image
COVID-19
Ethics
Remote sensing RS
Fairness
Data visualization
Classification
Deep learning DL
Ethique de l'intelligence artificielle
Task analysis
Big data
Self-supervised learning
Optimal control
Éthique
Scheduling
Alternating direction method of multipliers ADMM
Dictionaries
Telemonitoring
Manifold learning
Innovation
Feature extraction
Endmember variability
Neural networks
Artificial Intelligence
Evaluation
Generative models
Prediction
Obstructive sleep apnea
Infinite-dimensional systems
Semantic segmentation
Automatic speech recognition
Digital public health
AI
Representation learning
Deep learning
Object detection
Hyperspectral imaging
Computer vision
Pansharpening
Spatial resolution
Image segmentation
Privacy
Optimization
Spectral clustering
Predictive coding
Intelligence artificielle
Stabilization
Data fusion
Data models
Speech production
Training
Optimal controller
Artificial intelligence
Kernel methods
Image processing
Output feedback
Dimensionality reduction
OSA
Stochastic approximation
Chronic obstructive pulmonary disease
Super-resolution
Image fusion
Machine learning
Random matrix theory