Corrigendum to “Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning” [Information Sciences 490 (2019) 59-73](S0020025519302786)(10.1016/j.ins.2019.03.066)

Myeongjun Jang, Seungwan Seo, Pilsung Kang

Research output: Contribution to journalComment/debatepeer-review

Abstract

The authors regret making a mistake in the Acknowledgment section. The following funding source should have been mentioned. This work was also supported by the Agency for Defense Development of Korea. The authors would like to apologise for any inconvenience caused.

Original languageEnglish
Pages (from-to)277
Number of pages1
JournalInformation Sciences
Volume512
DOIs
Publication statusPublished - 2020 Feb
Externally publishedYes

Bibliographical note

Funding Information:
Myeongjun Jang Seungwan Seo Pilsung Kang ⁎ [email protected] School of Industrial Management Engineering, 145, Anam-Ro, Seongbuk-Gu, Seoul 136-713, Republic of Korea School of Industrial Management Engineering 145, Anam-Ro Seongbuk-Gu Seoul 136-713 Republic of Korea School of Industrial Management Engineering, 145, Anam-Ro, Seongbuk-Gu, Seoul 136-713, Republic of Korea ⁎ Corresponding author at: School of Industrial Management Engineering, Korea University, Republic of Korea. The authors regret making a mistake in the Acknowledgment section. The following funding source should have been mentioned. This work was also supported by the Agency for Defense Development of Korea. The authors would like to apologise for any inconvenience caused.

Publisher Copyright:
© 2019 Elsevier Ltd

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

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