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
1 067
Number of references
656
Keywords
Backstepping
Super-resolution
Ethique de l'intelligence artificielle
Self-supervised learning
Training
Agricultural exposome
Innovation
Kernel methods
Brain
Task analysis
Convolutional neural networks
Image processing
Clustering
Feature extraction
Online learning
Spectral clustering
Dictionaries
COVID-19
Alternating direction method of multipliers ADMM
Speech motor control
Generative AI
Nonsmooth optimization
Machine learning
Nash equilibrium
Remote sensing RS
Agriculture
Digital public health
Algorithmes
Autism
Data fusion
Classification
Audio-visual speech enhancement
Image fusion
Spatial resolution
Endmember variability
Object detection
Continual learning
Intelligence artificielle
Fairness
Convex optimization
OSA
Convolution
Chronic obstructive pulmonary disease
Hyperspectral image
Multispectral
Continuous positive airway pressure
Deep learning DL
Co-design
Neural networks
EHealth
Evaluation
Deep learning
Infinite-dimensional systems
Remote sensing
Output feedback
Spatial frequencies
Correlation
Hyperspectral
Big data
Detectors
Semantic segmentation
Artificial Intelligence
Pansharpening
Energy
Telemonitoring
Éthique
Data analysis
Sex differences
Representation learning
Unsupervised learning
Machine Learning
Artificial intelligence
Data models
Automatic speech recognition
Speech production
Random matrix theory
Philosophie des techniques
Simulation
Stochastic differential equations
Dimensionality reduction
Optimization
Deep Learning
Computer vision
Image reconstruction
Data mining
Prediction
Cognition
Generative models
Hyperspectral imaging
Ethics
Digital health e-health
Asymptotic stability
Optimal control
Manifold learning
Speech synthesis
Stochastic approximation
Adherence
Image segmentation
Privacy
Administrative health database