Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

DisCorrGAN: A Disentangled and Correlation-Aware Generative Adversarial Networks for Multivariate Financial Time Series Generation

Full metadata record
DC Field Value Language
dc.contributor.author송재욱-
dc.date.accessioned2026-07-23T10:04:43Z-
dc.date.available2026-07-23T10:04:43Z-
dc.date.issued2025-10-31-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/219471-
dc.titleDisCorrGAN: A Disentangled and Correlation-Aware Generative Adversarial Networks for Multivariate Financial Time Series Generation-
dc.typeConference-
dc.citation.conferenceName한국금융공학회 추계학술대회-
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 공과대학 > 서울 산업공학과 > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Song, Jae Wook photo

Song, Jae Wook
COLLEGE OF ENGINEERING (DEPARTMENT OF INDUSTRIAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE