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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
Jean-Louis Pépin, Sébastien Bailly, Joelle B Texereau, Emmanuel Sonnet, Sylvie Picard, et al.. Prevalence of sleep apnea in patients with type 1 diabetes and its association with comorbidities and diabetic complications: A French nationwide prospective study. American Thoracic Society International Conference, May 2023, WASHINGTON DC, United States. ⟨hal-04759551⟩
Collaborations
Number of fulltexts
970
Number of references
631
Keywords
Dictionaries
Classification
Correlation
Speech synthesis
Backstepping
Unsupervised learning
Manifold learning
Predictive coding
Sleep apnea
Self-supervised learning
Hyperspectral image
Task analysis
Super-resolution
Alternating direction method of multipliers ADMM
Scheduling
Éthique
Tensors
Online learning
Spatial resolution
Simulation
Deep learning
Endmember variability
Remote sensing RS
Remote sensing
Deep Learning
Continuous positive airway pressure
Data fusion
Semantic segmentation
Santé numérique
Data mining
Prediction
Brain
Ethics
Telemonitoring
Automatic speech recognition
Stochastic approximation
Feature extraction
Convolution
Infinite-dimensional systems
Image fusion
Training
Innovation
Ethique de l'intelligence artificielle
Evaluation
Asymptotic stability
Optimal controller
Stochastic differential equations
Hyperspectral imaging
Image processing
Spectral clustering
Digital health e-health
Representation learning
Audio-visual speech enhancement
Chronic obstructive pulmonary disease
Generative models
Algorithmes
Digital public health
Speech motor control
EHealth
Intelligence artificielle
Privacy
Multispectral
Autism
Artificial Intelligence
Convolutional neural networks
Adherence
Co-design
Computer vision
Output feedback
Optimal control
Kernel methods
Deep learning DL
Big data
Pansharpening
Artificial intelligence
Data analysis
Object detection
Random matrix theory
Optimization
Spatial frequencies
Machine Learning
Convex optimization
AI
Hyperspectral
Image reconstruction
Nash equilibrium
COVID-19
Philosophie des techniques
OSA
Image segmentation
Machine learning
Speech production
Data models
Neural networks
Stabilization
Sex differences
Fairness
Detectors
Variational inference
Dimensionality reduction