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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
Pascal Petit, Elise Gondard, Gérald Gandon, Olivier Moreaud, Mathilde Sauvée, et al.. Agricultural activities and risk of Alzheimer’s disease: the TRACTOR project, a nationwide retrospective cohort study. European Journal of Epidemiology, 2024, 39 (3), pp.271-287. ⟨10.1007/s10654-023-01079-0⟩. ⟨hal-04390645⟩
Collaborations
Number of fulltexts
872
Number of references
582
Keywords
Output feedback
Endmember variability
Data mining
Task analysis
Air pollution
Deep learning DL
Community detection
Digital public health
Chronic obstructive pulmonary disease
Brain
Multispectral
Attention mechanism
Europe
Hyperspectral image
Biometrics
Data visualization
Alternating direction method of multipliers ADMM
Convolution
Speech production
Dictionaries
Deep Learning
Remote sensing RS
Audio-visual speech enhancement
Continuous positive airway pressure
Adherence
Super-resolution
Variational inference
Affect stories
Fairness
Manifold learning
Random matrix theory
Generative models
Image fusion
Object detection
Obstructive sleep apnea
Online learning
Convolutional neural networks
Remote sensing
Hyperspectral
Algorithmes
AI
Machine learning
Computer vision
Machine Learning
Alternating direction method of multipliers
Privacy
Tensors
Data fusion
Automatic speech recognition
Sparsity
Data models
Neural networks
Éthique
Anomaly detection
COVID-19
Classification
Sleep apnea
Spectral clustering
Feature extraction
Optimal control
Unsupervised learning
Evaluation
Asymptotic stability
Artificial Intelligence
Artificial Intelligence AI
Intelligence artificielle
Digital health e-health
Asymptotic normality
Semantic segmentation
Adaptation models
Agricultural exposome
Dimensionality reduction
Representation learning
Pansharpening
Training
Convex optimization
Optimization
Image reconstruction
Stochastic differential equations
Prediction
Nash equilibrium
Artificial intelligence
Deep learning
Infinite-dimensional systems
Co-design
Agriculture
Stochastic approximation
Ethics
Stabilization
AI Governance
Spatial resolution
Speech motor control
CPAP
Hyperspectral imaging
Kernel methods
Backstepping
Big data
Scheduling
Detectors
Speech synthesis