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
906
Number of references
596
Keywords
Output feedback
Intelligence artificielle
Hyperspectral
Multispectral
Agricultural exposome
Alternating direction method of multipliers
Alternating direction method of multipliers ADMM
Online learning
Deep learning DL
Convex optimization
Adherence
Computer vision
Stochastic differential equations
Artificial Intelligence
Europe
Infinite-dimensional systems
Spectral clustering
Pansharpening
Éthique
Artificial Intelligence AI
Speech synthesis
Remote sensing
Machine learning
Convolution
Obstructive sleep apnea
Autism
Anomaly detection
Audio-visual speech enhancement
AI Governance
Variational inference
Image reconstruction
Remote sensing RS
Stochastic approximation
Feature extraction
Tensors
Privacy
Data fusion
Image fusion
Optimization
COVID-19
Machine Learning
Fairness
Semantic segmentation
Asymptotic stability
Detectors
Object detection
Spatial resolution
Automatic speech recognition
Hyperspectral imaging
Self-supervised learning
Endmember variability
Random matrix theory
Attention mechanism
Scheduling
Spatial frequencies
Speech production
Adaptation models
Algorithmes
Dictionaries
Evaluation
Big data
Digital public health
Data visualization
Agriculture
Speech motor control
Super-resolution
Task analysis
Nash equilibrium
AI
Continuous positive airway pressure
Digital health e-health
Generative models
Optimal control
Stabilization
Data mining
Sparsity
Unsupervised learning
Deep learning
Data models
Affect stories
Predictive coding
Dimensionality reduction
Air pollution
Convolutional neural networks
Chronic obstructive pulmonary disease
Artificial intelligence
OSA
Manifold learning
Asymptotic normality
Training
Neural networks
Kernel methods
Hyperspectral image
Sleep apnea
Classification
Co-design
Representation learning
Prediction
Deep Learning
Ethics