most citedAn investigation on the factors affecting machine learning classifications in -ray astronomy

36 citations · 46 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023

Strip-MLP: Efficient Token Interaction for Vision MLP

Guiping Cao, Shengda Luo, Wenjian Huang +4

Token interaction operation is one of the core modules in MLP-based models to exchange and aggregate information between different spatial locations. However, the power of token in…

astro-ph.HE2020★ 10 cited

Searches for Pulsar-like Candidates from Unidentified Objects in the Third Catalog of Hard Fermi-LAT (3FHL) sources with Machine Learning Techniques

C. Y. Hui, Jongsu Lee, K. L. Li +7

We report the results of searching pulsar-like candidates from the unidentified objects in the Catalog of Hard Fermi-LAT sources (3FHL). Using a machine-learning based…

astro-ph.IM2020★ 36 cited

An investigation on the factors affecting machine learning classifications in -ray astronomy

Shengda Luo, Alex P. Leung, C. Y. Hui +1

We have investigated a number of factors that can have significant impacts on the classification performance of -ray sources detected by Fermi Large Area Telescope (LAT) with ma…