Correction to: Deep user identification model with multiple biometric data
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CORRECTION
Open Access
Correction to: Deep user identification model with multiple biometric data Hyoung-Kyu Song1, Ebrahim AlAlkeem2,3, Jaewoong Yun4, Tae-Ho Kim5, Hyerin Yoo4, Dasom Heo4, Myungsu Chae4 and Chan Yeob Yeun2,3* From The 13th International Workshop on Data and Text Mining in Biomedical Informatics Beijing, China. 3-7 November 2019
The original article can be found online at https://doi.org/10.1186/ s12859-020-03613-3. * Correspondence: chan.yeun@ku. ac.ae 2 Electrical Engineering and Computer Science Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates 3 Center for Cyber-Physical Systems, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates Full list of author information is available at the end of the article
Correction to: BMC Bioinformatics 21, 315 (2020) https://doi.org/10.1186/s12859-020-03613-3 Following publication of the original article [1], it was reported that the article entitled “Deep user identification model with multiple biometric data” was published in the regular issue of this journal instead of in the supplement issue. The details of the supplement in which this article ought to have been published are given below: About this supplement This article has been published as part of BMC Bioinformatics, Volume 21 Supplement 5, 2020: Proceedings of the 13th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 2019). The full contents of the supplement are available at https://bmcbioinformatics.biomedcentral.com/articles/supplements/volume-21-supplement-5. The publisher apologises for any inconvenience caused. Author details 1 Korea Advanced Institute of Science and Technology, Daejeon, South Korea. 2Electrical Engineering and Computer Science Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates. 3Center for Cyber-Physical Systems, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates. 4Research Institute, NOTA Incorporated, Gangnam-gu, Seoul, South Korea. 5Institute for Artificial Intelligence, Korea Advanced Institute of Science and Technology, Daejeon, South Korea. Received: 30 January 2020 Accepted: 6 February 2020 Published: 26 October 2020 Reference 1. Song H, AlAlkeem E, Yun J, et al. Deep user identification model with multiple biometric data. BMC Bioinformatics. 2020;21:315 https://doi.org/10.1186/s12859-020-03613-3.
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