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Found 4 papers, 1 papers with code
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
To tackle the above challenges, we employ gradient boosting decision trees (GBDT) to handle data heterogeneity and introduce multi-task learning (MTL) to solve data insufficiency.
PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction
Accurate forecasting of traffic conditions is critical for improving safety, stability, and efficiency of a city transportation system.
Automatic Rail Component Detection Based on AttnConv-Net
The automatic detection of major rail components using railway images is beneficial to ensure the rail transport safety.
Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method
Most existing vision-based approaches focus on the detection of frontal intrusion objects with prior labels, such as categories and locations of the objects.
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