105 citations · 108 across the 5 of their papers we have counts for
5 papers
Regime-Switching Models for Disaggregated Data
Anlong Qin, Zhongjun Qu
We show analytically and via simulation that cross-sectional aggregation can substantially attenuate regime-switching signals in time-series data, making regime switches harder to…
Decentralised Traffic Incident Detection via Network Lasso
Qiyuan Zhu, A. K. Qin, Prabath Abeysekara +2
Traffic incident detection plays a key role in intelligent transportation systems, which has gained great attention in transport engineering. In the past, traditional machine learn…
Expert-Adaptive Medical Image Segmentation
Binyan Hu, A. K. Qin
Medical image segmentation (MIS) plays an instrumental role in medical image analysis, where considerable effort has been devoted to automating the process. Currently, mainstream M…
Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe
C. Jacobs, K. Glazebrook, A. K. Qin +1
Artificial neural networks are finding increasing use in astronomy, but understanding the limitations of these models can be difficult. We utilize a statistical method, a sensitivi…
Finding high-redshift strong lenses in DES using convolutional neural networks
C. Jacobs, T. Collett, K. Glazebrook +63
We search Dark Energy Survey (DES) Year 3 imaging data for galaxy-galaxy strong gravitational lenses using convolutional neural networks. We generate 250,000 simulated lenses at re…