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

doi:10.1016/j.ins.2019.11.049

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 journal › Comment/debate › peer-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 language	English
Pages (from-to)	277
Number of pages	1
Journal	Information Sciences
Volume	512
DOIs	https://doi.org/10.1016/j.ins.2019.11.049
Publication status	Published - 2020 Feb
Externally published	Yes

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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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). / Jang, Myeongjun; Seo, Seungwan; Kang, Pilsung.
In: Information Sciences, Vol. 512, 02.2020, p. 277.

Research output: Contribution to journal › Comment/debate › peer-review

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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.",

author = "Myeongjun Jang and Seungwan Seo and Pilsung Kang",

note = "Funding Information: Myeongjun Jang Seungwan Seo Pilsung Kang ⁎ pilsung_kang@korea.ac.kr 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: {\textcopyright} 2019 Elsevier Ltd",

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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)

Abstract

ASJC Scopus subject areas

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