A model local interpretation routine for deep learning based radio galaxy classification-Reference-Cited by-同舟云学术

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A model local interpretation routine for deep learning based radio galaxy classification

Published:2023-08-19 Issue: Volume: Page:
ISSN:
Container-title:2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)
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Author:

Tang Hongming¹,Yue Shiyu¹,Wang Zijun¹,Lai Jizhe²,Wei Leyao¹,Luo Yan¹,Liang Chuni¹,Chu Jiani³,Xu Dandan³

Affiliation:

1. Sun Yat-sen University, 2 Daxue Road,School of Physics and Astronomy,Zhuhai,China,519082

2. Sun Yat-sen University, No. 135 Xingang Xi Road,School of Physics,Guangzhou,P.R. China,510275

3. Tsinghua University,Department of Astronomy,Beijing,China,100084

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10265282/10265283/10265388.pdf?arnumber=10265388

Reference10 articles.

1. Artificial intelligence for celestial object census: the latest technology meets the oldest science

2. The Evolutionary Map of the Universe pilot survey

3. Why Should I Trust You?”: Explaining the Predictions of Any Classifier;tulio ribeiro;ArXiv e-prints,2016

4. Efficient Graph-Based Image Segmentation;felzenszwalb;International Journal of Computer Vision,2004

5. The morphology of extragalactic radio sources of high and low luminosity;fanaroff;Monthly Notices of the Royal Astronomical Society,1974

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