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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
873
Number of references
582
Keywords
Automatic speech recognition
Output feedback
Data fusion
Air pollution
Manifold learning
Unsupervised learning
Random matrix theory
Sparsity
Optimization
Stochastic differential equations
Anomaly detection
Sleep apnea
Infinite-dimensional systems
Agriculture
Image fusion
Kernel methods
Multispectral
Europe
Task analysis
Super-resolution
Asymptotic stability
Co-design
Semantic segmentation
Artificial Intelligence
Asymptotic normality
Online learning
Scheduling
Remote sensing
Biometrics
Deep Learning
Obstructive sleep apnea
Hyperspectral imaging
Affect stories
Speech synthesis
Brain
AI Governance
Data mining
Éthique
Spatial resolution
Community detection
Stochastic approximation
Alternating direction method of multipliers
Object detection
Digital health e-health
Optimal control
Convolutional neural networks
Nash equilibrium
Remote sensing RS
Machine learning
Backstepping
Convex optimization
Detectors
Audio-visual speech enhancement
COVID-19
Algorithmes
Deep learning DL
Computer vision
Dictionaries
Adherence
Stabilization
Endmember variability
Spectral clustering
Data visualization
Intelligence artificielle
Hyperspectral image
Artificial Intelligence AI
Attention mechanism
Hyperspectral
CPAP
Ethics
Digital public health
Adaptation models
Training
Image reconstruction
Generative models
Convolution
Feature extraction
Machine Learning
Prediction
Pansharpening
Speech production
Privacy
Fairness
Chronic obstructive pulmonary disease
Classification
Dimensionality reduction
Variational inference
Continuous positive airway pressure
Big data
AI
Evaluation
Artificial intelligence
Agricultural exposome
Speech motor control
Tensors
Alternating direction method of multipliers ADMM
Deep learning
Representation learning
Data models
Neural networks