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