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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
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Number of fulltexts
921
Number of references
596
Keywords
Artificial intelligence
Kernel methods
Image fusion
Stabilization
Computer vision
Pansharpening
Data visualization
Adherence
Convolutional neural networks
AI Governance
Obstructive sleep apnea
Speech production
Spectral clustering
Deep learning
Prediction
Detectors
Endmember variability
Random matrix theory
Neural networks
Speech motor control
OSA
Air pollution
Nash equilibrium
Spatial frequencies
Scheduling
Deep Learning
Autism
Evaluation
Task analysis
Spatial resolution
COVID-19
Manifold learning
Alternating direction method of multipliers
Alternating direction method of multipliers ADMM
Automatic speech recognition
Remote sensing
Asymptotic stability
Infinite-dimensional systems
Image reconstruction
Stochastic approximation
Continuous positive airway pressure
Multispectral
Optimal control
Machine learning
Artificial Intelligence AI
Representation learning
Unsupervised learning
Convex optimization
Data mining
Convolution
Audio-visual speech enhancement
Intelligence artificielle
Tensors
Agriculture
Hyperspectral image
Feature extraction
Stochastic differential equations
Asymptotic normality
Predictive coding
Digital health e-health
Agricultural exposome
Generative models
Classification
Machine Learning
Hyperspectral imaging
Hyperspectral
Attention mechanism
Ethics
Big data
Semantic segmentation
Variational inference
Speech synthesis
Object detection
Adaptation models
Optimization
Self-supervised learning
Data fusion
Artificial Intelligence
Co-design
Fairness
Data models
Remote sensing RS
Algorithmes
Affect stories
Output feedback
Sleep apnea
AI
Digital public health
Online learning
Training
Dimensionality reduction
Éthique
Dictionaries
Anomaly detection
Chronic obstructive pulmonary disease
Europe
Super-resolution
Privacy
Sparsity
Deep learning DL