The NSF Public Access Repository (PAR) system and access will be unavailable from 11:00 PM ET on Friday, December 13 until 2:00 AM ET on Saturday, December 14 due to maintenance. We apologize for the inconvenience.
Explore Research Products in the PAR It may take a few hours for recently added research products to appear in PAR search results.
M.S., Vinay, Yuan, Shuhan, and Wu, Xintao. Fraud Detection via Contrastive Positive Unlabeled Learning. Retrieved from https://par.nsf.gov/biblio/10400386. 2022 IEEE International Conference on Big Data (Big Data) . Web. doi:10.1109/BigData55660.2022.10020693.
M.S., Vinay, Yuan, Shuhan, & Wu, Xintao. Fraud Detection via Contrastive Positive Unlabeled Learning. 2022 IEEE International Conference on Big Data (Big Data), (). Retrieved from https://par.nsf.gov/biblio/10400386. https://doi.org/10.1109/BigData55660.2022.10020693
@article{osti_10400386,
place = {Country unknown/Code not available},
title = {Fraud Detection via Contrastive Positive Unlabeled Learning},
url = {https://par.nsf.gov/biblio/10400386},
DOI = {10.1109/BigData55660.2022.10020693},
abstractNote = {},
journal = {2022 IEEE International Conference on Big Data (Big Data)},
author = {M.S., Vinay and Yuan, Shuhan and Wu, Xintao},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.