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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
968
Number of references
631
Keywords
Machine Learning
Optimal controller
Stochastic differential equations
Convolutional neural networks
Continuous positive airway pressure
Co-design
Ethique de l'intelligence artificielle
Hyperspectral image
Fairness
Alternating direction method of multipliers ADMM
Deep learning
Prediction
Dictionaries
Asymptotic stability
Convex optimization
Digital public health
Data models
Brain
Image segmentation
Spatial resolution
Optimization
Backstepping
Philosophie des techniques
Audio-visual speech enhancement
Random matrix theory
Hyperspectral imaging
Unsupervised learning
Dimensionality reduction
Ethics
Simulation
Éthique
Sleep apnea
Telemonitoring
Digital health e-health
Correlation
Self-supervised learning
Object detection
Pansharpening
Innovation
Big data
Task analysis
AI
Speech motor control
Variational inference
EHealth
Computer vision
Spectral clustering
Feature extraction
Output feedback
Intelligence artificielle
Super-resolution
OSA
Infinite-dimensional systems
Remote sensing
Representation learning
Training
Semantic segmentation
Predictive coding
Spatial frequencies
Privacy
Speech production
Kernel methods
Deep learning DL
Artificial Intelligence
Nash equilibrium
Artificial intelligence
Detectors
Machine learning
Algorithmes
Optimal control
Speech synthesis
Evaluation
Automatic speech recognition
Chronic obstructive pulmonary disease
Image fusion
Generative models
Stochastic approximation
Sex differences
Adherence
Neural networks
Manifold learning
Tensors
Autism
Hyperspectral
Data fusion
Multispectral
Endmember variability
Image processing
Scheduling
Remote sensing RS
Data mining
Santé numérique
Data analysis
Image reconstruction
Deep Learning
Classification
Online learning
Stabilization
Convolution
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