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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
Adeline Lacroix, Sylvain Harquel, Leonardo S Barbosa, Klara Kovarski, Marta I Garrido, et al.. Reduced spatial frequency differentiation and sex‐related specificities in fearful face detection in autism: Insights from EEG and the predictive brain model. Autism Research, In press, ⟨10.1002/aur.3209⟩. ⟨hal-04693490⟩
Collaborations
Number of fulltexts
925
Number of references
599
Keywords
Sleep apnea
Automatic speech recognition
Adherence
Optimization
Agricultural exposome
Output feedback
Tensors
Sex differences
Obstructive sleep apnea
Image reconstruction
Data models
Asymptotic stability
Super-resolution
Hyperspectral
Europe
Speech synthesis
Big data
Deep learning
Autism
Audio-visual speech enhancement
Optimal control
Co-design
Deep learning DL
Speech motor control
Algorithmes
Endmember variability
Chronic obstructive pulmonary disease
Object detection
Anomaly detection
Continuous positive airway pressure
Stabilization
Data mining
Machine Learning
AI Governance
Innovation
Deep Learning
Sparsity
COVID-19
Data fusion
Machine learning
Artificial Intelligence
Training
Telemonitoring
Spatial frequencies
Artificial intelligence
Convolutional neural networks
Remote sensing RS
Adaptation models
Online learning
Feature extraction
Predictive coding
Neural networks
Digital public health
Variational inference
Computer vision
Nash equilibrium
Semantic segmentation
Kernel methods
OSA
Scheduling
Data visualization
Random matrix theory
Fairness
Air pollution
Éthique
Manifold learning
Dimensionality reduction
Privacy
Convex optimization
Hyperspectral imaging
Evaluation
Affect stories
Infinite-dimensional systems
Classification
Dictionaries
Alternating direction method of multipliers ADMM
Digital health e-health
Multispectral
Self-supervised learning
Intelligence artificielle
Generative models
Hyperspectral image
Spectral clustering
Stochastic differential equations
Speech production
Stochastic approximation
Alternating direction method of multipliers
Detectors
AI
Remote sensing
Agriculture
Prediction
Spatial resolution
Ethics
Convolution
Task analysis
Image fusion
Unsupervised learning
Pansharpening
Representation learning