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- Conference Paper
- C1
- open access
Model-aware deep learning for the clustering of hyperspectral images with context preservation
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Novel view synthesis for sparse RGB-D camera networks
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Gradient variance loss for structure-enhanced image super-resolution
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Spatiotemporal air quality inference of low-cost sensor data : evidence from multiple sensor testbeds
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Explaining graph neural networks with topology-aware node selection : application in air quality inference
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- Journal Article
- A1
- open access
Fine-grained urban air quality mapping from sparse mobile air pollution measurements and dense traffic density
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Street-level air quality inference based on geographically context-aware random forest using opportunistic mobile sensor network
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Spatiotemporal air quality inference of low-cost sensor data : application on a cycling monitoring network
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Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas
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Graph-deep-learning-based inference of fine-grained air quality from mobile IoT sensors