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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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Adrien Clauzel, Renaud Persoons, Anne Maître, Franck Balducci, Pascal Petit. Review of environmental airborne pyrene/ benzo[a]pyrene levels from industrial emissions for the improvement of 1-hydroxypyrene biomonitoring interpretation. Journal of Toxicology and Environmental Health, Part B, 2024, pp.1-21. ⟨10.1080/10937404.2024.2362632⟩. ⟨hal-04604390⟩
Collaborations
Number of fulltexts
890
Number of references
590
Keywords
Spectral clustering
Variational inference
Agriculture
Digital public health
Task analysis
Asymptotic stability
Predictive coding
Image fusion
Attention mechanism
Evaluation
Éthique
Autism
Stabilization
Air pollution
Artificial intelligence
Speech synthesis
Convolutional neural networks
Deep Learning
Representation learning
Object detection
Automatic speech recognition
Prediction
Adherence
Privacy
Spatial resolution
Super-resolution
Pansharpening
Deep learning
Continuous positive airway pressure
Remote sensing
Stochastic approximation
Data visualization
Agricultural exposome
Training
AI Governance
Computer vision
Affect stories
Remote sensing RS
Speech motor control
Endmember variability
Convolution
Random matrix theory
Data models
Intelligence artificielle
Tensors
Convex optimization
Machine Learning
Co-design
Multispectral
Online learning
Feature extraction
Obstructive sleep apnea
Anomaly detection
Scheduling
Spatial frequencies
Machine learning
Ethics
Chronic obstructive pulmonary disease
Detectors
Algorithmes
Dictionaries
Image reconstruction
Big data
Digital health e-health
Backstepping
COVID-19
Optimal control
Sleep apnea
Artificial Intelligence
Fairness
Alternating direction method of multipliers
Audio-visual speech enhancement
Hyperspectral imaging
Unsupervised learning
Output feedback
Generative models
Asymptotic normality
Stochastic differential equations
Alternating direction method of multipliers ADMM
Artificial Intelligence AI
Hyperspectral image
Manifold learning
Neural networks
Kernel methods
OSA
Deep learning DL
Semantic segmentation
Nash equilibrium
Data mining
Hyperspectral
Europe
Classification
Speech production
AI
Infinite-dimensional systems
Optimization
Dimensionality reduction
Sparsity
Adaptation models
Data fusion