Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data Jin, Yuan, Liu, Ming, Li, Yungfeng, Xu, Ruohua, Du, Lan, Gao, Longxiang and Xiang, Yong 2020, Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data, Data mining and knowledge discovery, pp. 1-28, doi: 10.1007/s10618-020-00723-7. Attached Files Name Description MIMEType Size Downloads Title Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data Author(s) Jin, Yuan Liu, Ming orcid.org/0000-0002-2160-6111 Li, Yungfeng Xu, Ruohua Du, Lan Gao, Longxiang orcid.org/0000-0002-3026-7537 Xiang, Yong orcid.org/0000-0003-3545-7863 Journal name Data mining and knowledge discovery Start page 1 End page 28 Total pages 28 Publisher Springer Place of publication New York, N.Y. Publication date 2020-12-10 ISSN 1384-5810 1573-756X Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science Non-negative tensor factorization Variational auto-encoders Neural networks Latent variable modelling Count data Notes Article in Press Language eng DOI 10.1007/s10618-020-00723-7 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 0804 Data Format 0806 Information Systems HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30146328 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 21 Dec 2020, 15:10:39 EST Tue, 22 Dec 2020, 04:00:40 EST Tue, 22 Dec 2020, 05:04:13 EST Sat, 09 Jan 2021, 01:30:25 EST Tue, 12 Jan 2021, 08:28:07 EST Tue, 19 Jan 2021, 05:06:58 EST Tue, 16 Feb 2021, 10:18:24 EST Tue, 16 Feb 2021, 10:21:35 EST Tue, 16 Feb 2021, 10:22:22 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 10 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 21 Dec 2020, 15:10:39 EST

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