Minority Class Oversampling for Tabular Data with Deep Generative Models

Reference : Minority Class Oversampling for Tabular Data with Deep Generative Models


	Document type :	E-prints/Working papers : Already available on another site
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/43194

Title :	Minority Class Oversampling for Tabular Data with Deep Generative Models
Language :	English
Author, co-author :	Camino, Ramiro Daniel [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Hammerschmidt, Christian [Delft University of Technology]
	State, Radu [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	7-May-2020
Peer reviewed :	No
Permalink :	http://hdl.handle.net/10993/43194
source URL :	https://arxiv.org/abs/2005.03773

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