@inproceedings{conf/ncaa/ChenSZMMW022,
added-at = {2024-07-25T00:00:00.000+0200},
author = {Chen, Jiaqi and Shao, Lujiao and Zhou, Haibin and Ma, Jianghong and Meng, Weizhi and Wang, Zenghui and Zhang, Haijun},
biburl = {https://www.bibsonomy.org/bibtex/23df4305ceb817ffba1d3ecac95918fa9/dblp},
booktitle = {NCAA (1)},
crossref = {conf/ncaa/2022-1},
editor = {Zhang, Haijun and Chen, Yuehui and Chu, Xianghua and Zhang, Zhao and Hao, Tianyong and Wu, Zhou and Yang, Yimin},
ee = {https://doi.org/10.1007/978-981-19-6142-7_29},
interhash = {b75c7d79e6cf464d2e80f2daf28d9f17},
intrahash = {3df4305ceb817ffba1d3ecac95918fa9},
isbn = {978-981-19-6142-7},
keywords = {dblp},
pages = {378-393},
publisher = {Springer},
series = {Communications in Computer and Information Science},
timestamp = {2024-07-29T07:25:21.000+0200},
title = {Extracting Key Information from Shopping Receipts by Using Bayesian Deep Learning via Multi-modal Features.},
url = {http://dblp.uni-trier.de/db/conf/ncaa/ncaa2022-1.html#ChenSZMMW022},
volume = 1637,
year = 2022
}