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Search: "[ author: Heung-Seon Oh ]" (2)
CNN-Based Novelty Detection with Effectively Incorporating Document-Level Information
Seongung Jo, Heung-Seon Oh, Sanghun Im, Seonho Kim KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 10, pp. 231-238,
Oct.
2020
https://doi.org/10.3745/KTCCS.2020.9.10.231
Keywords: Deep Learning, CNN, Novelty Detection
https://doi.org/10.3745/KTCCS.2020.9.10.231
Keywords: Deep Learning, CNN, Novelty Detection
CNN Architecture Predicting Movie Rating from Audience’s Reviews Written in Korean
Hyungchan Kim, Heung-Seon Oh, Duksu Kim KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 1, pp. 17-24,
Jan.
2020
10.3745/KTCCS.2020.9.1.17
Keywords: NLP, CNN, Movie Rating, Un-Normalized Text Data
10.3745/KTCCS.2020.9.1.17
Keywords: NLP, CNN, Movie Rating, Un-Normalized Text Data
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
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Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
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Vol. 10, 2021
- Vol. 10, No. 12 (Dec. 2021)
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Vol. 9, 2020
- Vol. 9, No. 12 (Dec. 2020)
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Vol. 8, 2019
- Vol. 8, No. 12 (Dec. 2019)
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Vol. 7, 2018
- Vol. 7, No. 12 (Dec. 2018)
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Vol. 6, 2017
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Vol. 5, 2016
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Vol. 4, 2015
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Vol. 3, 2014
- Vol. 3, No. 12 (Dec. 2014)
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Vol. 2, 2013
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Vol. 1, 2012
Old Journals
Indexing
All publications of KTCCS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
