Department of Psychiatry

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  • Korea, Republic of

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  • 2019

    Brain network decomposition by Auto Encoder (AE) and graph auto encoder (GAE)

    Choi, M., Lee, P., Kim, D., Lee, S., Youn, H. C., Jeong, H. G. & Han, C. E., 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Springer, p. 568-579 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11953 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Deep learning based decomposition of brain networks

    Lee, P., Choi, M., Kim, D., Lee, S., Jeong, H. G. & Han, C. E., 2019 Mar 18, 1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019. Institute of Electrical and Electronics Engineers Inc., p. 349-354 6 p. 8669055. (1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)
  • 2007

    An approach for classifying internet worms based on temporal behaviors and packet flows

    Lee, M-S., Shon, T., Cho, K., Chung, M., Seo, J. & Moon, J., 2007 Dec 1, Advanced Intelligent Computing Theories and Applications: With Aspects of Theoretical and Methodological Issues - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. Vol. 4681 LNCS. p. 646-655 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4681 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)