Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/171693
Title: Synthetic Tabular Data Generation with Oblivious Variational Autoencoders : Alleviating the Paucity of Personal Tabular Data for Open Research
Authors: STANLEY KOK 
LAKKAMANENI VIVEK HARSHA VARDHAN 
Issue Date: 17-Jul-2020
Citation: STANLEY KOK, LAKKAMANENI VIVEK HARSHA VARDHAN (2020-07-17). Synthetic Tabular Data Generation with Oblivious Variational Autoencoders : Alleviating the Paucity of Personal Tabular Data for Open Research. ICML Workshop on Healthcare Systems, Population Health, and the Role of Health-Tech. ScholarBank@NUS Repository.
Source Title: ICML Workshop on Healthcare Systems, Population Health, and the Role of Health-Tech
URI: https://scholarbank.nus.edu.sg/handle/10635/171693
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
ICMLHSYScameraredypaper.pdf629.04 kBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.