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Found 4 papers, 1 papers with code
Impact of Light and Shadow on Robustness of Deep Neural Networks
Deep neural networks (DNNs) have made remarkable strides in various computer vision tasks, including image classification, segmentation, and object detection.
WeiPS: a symmetric fusion model framework for large-scale online learning
The recommendation system is an important commercial application of machine learning, where billions of feed views in the information flow every day.
iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans
Groups of enterprises can serve as guarantees for one another and form complex networks when obtaining loans from commercial banks.
$E^3$: Visual Exploration of Spatiotemporal Energy Demand
Understanding demand-side energy behaviour is critical for making efficiency responses for energy demand management.
Human-Computer Interaction Computers and Society
