Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study.
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%0 Journal Article
%1 journals/ni/YanCYXXSC22
%A Yan, Jianzhuo
%A Chen, Lihong
%A Yu, Yongchuan
%A Xu, Hongxia
%A Xu, Zhe
%A Sheng, Ying
%A Chen, Jianhui
%D 2022
%J Neuroinformatics
%K dblp
%N 3
%P 701-726
%T Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study.
%U http://dblp.uni-trier.de/db/journals/ni/ni20.html#YanCYXXSC22
%V 20
@article{journals/ni/YanCYXXSC22,
added-at = {2023-08-28T00:00:00.000+0200},
author = {Yan, Jianzhuo and Chen, Lihong and Yu, Yongchuan and Xu, Hongxia and Xu, Zhe and Sheng, Ying and Chen, Jianhui},
biburl = {https://www.bibsonomy.org/bibtex/2e7d993933158ee39844a7e37363d38c7/dblp},
ee = {https://www.wikidata.org/entity/Q114262623},
interhash = {734f90692f685efc45fbd5bb4e2c6278},
intrahash = {e7d993933158ee39844a7e37363d38c7},
journal = {Neuroinformatics},
keywords = {dblp},
number = 3,
pages = {701-726},
timestamp = {2024-04-08T12:11:30.000+0200},
title = {Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study.},
url = {http://dblp.uni-trier.de/db/journals/ni/ni20.html#YanCYXXSC22},
volume = 20,
year = 2022
}
