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