Sung-Bae Cho

Department of Computer Science

EmailSBCHO@YONSEI.AC.KR

Source: Scopus
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7027 Citations
40 h-Index
237 Conference contribution
174 Article
44 Paper
16 Conference article
More

A deep neural network ensemble of multimodal signals for classifying excavator operations
Kim, J. Y. & Cho, S. B., 2021, (Accepted/In press) In: Neurocomputing.
Research output: Contribution to journal › Article › peer-review
Adversarial signal augmentation for CNN-LSTM to classify impact noise in automobiles
Bu, S. J., Moon, H. J. & Cho, S. B., 2021 Jan, Proceedings - 2021 IEEE International Conference on Big Data and Smart Computing, BigComp 2021. Unger, H., Kim, J., Kang, U., So-In, C., Du, J., Saad, W., Ha, Y., Wagner, C., Bourgeois, J., Sathitwiriyawong, C., Kwon, H-Y. & Leung, C. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 60-64 5 p. 9373248. (Proceedings - 2021 IEEE International Conference on Big Data and Smart Computing, BigComp 2021).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Biogeography based optimization for mining rules to assess credit risk
Giri, P. K., De, S. S., Dehuri, S. & Cho, S. B., 2021 Jan 1, In: Intelligent Systems in Accounting, Finance and Management. 28, 1, p. 35-51 17 p.
Research output: Contribution to journal › Article › peer-review
Detecting intrusion via insider attack in database transactions by learning disentangled representation with deep metric neural network
Go, G. M., Bu, S. J. & Cho, S. B., 2021, 13th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2020. Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H. & Corchado, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 460-469 10 p. (Advances in Intelligent Systems and Computing; vol. 1267 AISC).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Extracting salient information from discarded features via attribute selection and pruning
Tallón-Ballesteros, A. J. & Cho, S. B., 2021 Mar, In: Applied Soft Computing. 101, 107041.
Research output: Contribution to journal › Article › peer-review

Prediction of Hourly Household Power Consumption
Sung-Bae Cho
20/12/19
1 item of Media coverage
Press/Media: Press / Media
Korean Intellectual Property Office Receives Univ Industry Foundation Yonsei Univ Wonju Campus's Patent Application for Device and Method for Measuring Focal Position of X-Ray Tube
Sung-Bae Cho
20/11/29
1 item of Media coverage
Press/Media: Press / Media
US Patent Issued to KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY on Nov. 17 for "Recombinant microorganism capable of producing methyl anthranilate and method of producing methyl anthranilate using the same" (South Korean Inventors)
Sung-Bae Cho
20/11/18
1 item of Media coverage
Press/Media: Press / Media
Technical Approach in Text Mining for Stock Market Prediction: A Systematic Review
Sung-Bae Cho
20/9/26
1 item of Media coverage
Press/Media: Press / Media
Univ Industry Foundation Yonsei Univ Wonju Campus Seeks Patent for Scatter-Correction System and Method for a Single Radiographic Projection
Sung-Bae Cho
20/9/23
1 item of Media coverage
Press/Media: Press / Media