Loading...
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
1 028
Number of references
644
Keywords
Neural networks
Image segmentation
Optimal control
Spatial resolution
Image processing
Alternating direction method of multipliers ADMM
Generative models
Stochastic approximation
Intelligence artificielle
Convolutional neural networks
Remote sensing
Brain
Computer vision
Image reconstruction
Optimization
OSA
Convex optimization
Task analysis
Classification
Machine learning
Hyperspectral imaging
Innovation
Variational inference
Asymptotic stability
Unsupervised learning
EHealth
Hyperspectral image
COVID-19
Prediction
Dictionaries
Stabilization
Super-resolution
Speech production
Stochastic differential equations
Infinite-dimensional systems
Privacy
Deep Learning
Automatic speech recognition
Sleep apnea
Data analysis
Spatial frequencies
Feature extraction
Artificial Intelligence
Training
Image fusion
Artificial intelligence
Big data
Ethics
Correlation
Optimal controller
Sex differences
Deep learning DL
Co-design
Evaluation
Dimensionality reduction
Speech synthesis
Self-supervised learning
Endmember variability
Telemonitoring
Data models
Scheduling
Adherence
Digital health e-health
Algorithmes
Pansharpening
Fairness
Simulation
Semantic segmentation
Deep learning
Multispectral
Nash equilibrium
Continuous positive airway pressure
Remote sensing RS
Backstepping
Representation learning
Philosophie des techniques
Spectral clustering
Hyperspectral
Output feedback
Convolution
Manifold learning
Chronic obstructive pulmonary disease
Predictive coding
Online learning
Machine Learning
Autism
Speech motor control
Tensors
Kernel methods
Audio-visual speech enhancement
Digital public health
Data fusion
Santé numérique
Data mining
Object detection
EEG
Éthique
Random matrix theory
Ethique de l'intelligence artificielle
Detectors