• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
1990 …2021

Research activity per year

If you made any changes in Pure these will be visible here soon.
Filter
Chapter

Search results

  • 2012

    Intrusion Detection for Computer Security

    Cho, S. B. & Han, S. J., 2012 Jun 8, Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing. Wiley-IEEE Press, p. 245-272 28 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    2 Citations (Scopus)
  • 2010

    A theoretical and empirical study of functional link neural networks (FLNNs) for classification

    Dehuri, S. & Cho, S. B., 2010, Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications. IGI Global, p. 545-573 29 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)
  • 2009

    A discrete particle swarm for multi-objective problems in polynomial neural networks used for classification: A data mining perspective

    Dehuri, S., Coello Coello, C. A., Cho, S. B. & Ghosh, A., 2009, Swarm Intelligence for Multi-objective Problems in Data Mining. Coello Coello, C. A., Dehuri, S. & Ghosh, S. (eds.). p. 115-155 41 p. (Studies in Computational Intelligence; vol. 242).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)
  • 2007

    Classifying Gene Expression Profiles with Evolutionary Computation

    Hong, J. H. & Cho, S. B., 2007 May 14, Computational Intelligence in Bioinformatics. John Wiley and Sons, p. 21-40 20 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Evolutionary algorithms for board game players with domain knowledge

    Kim, K. J. & Cho, S. B., 2007, Advanced Intelligent Paradigms in Computer Games. Baba, N., Jain, L. & Handa, H. (eds.). p. 71-89 19 p. (Studies in Computational Intelligence; vol. 71).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    2 Citations (Scopus)
  • 2006

    Uncertainty reasoning and chance discovery

    Kim, K. J. & Cho, S. B., 2006, Chance Discoveries in Real World Decision Making: Data-based Interaction of Human Intelligence and Artificial Intelligence. Ohsawa, Y. & Tsumoto, S. (eds.). p. 83-100 18 p. (Studies in Computational Intelligence; vol. 30).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2004

    Lymphoma Cancer Classification Using Genetic Programming with SNR Features

    Hong, J. H. & Cho, S. B., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Keijzer, M., Lucas, S. M., Costa, E., Soule, T. & O’Reilly, U-M. (eds.). Springer Verlag, p. 78-88 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3003).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    24 Citations (Scopus)
  • Partially evaluated genetic algorithm based on fuzzy c-Means algorithm

    Yoo, S. H. & Cho, S. B., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Yao, X., Bullinaria, J. A., Rowe, J., Tino, P., Kaban, A., Burke, E., Lozano, J. A., Smith, J., Merelo-Guervos, J. J. & Schwefel, H-P. (eds.). Springer Verlag, p. 440-449 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3242).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    10 Citations (Scopus)
  • User adaptive answers generation for conversational agent using genetic programming

    Kim, K. M., Lim, S. S. & Cho, S. B., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Yang, Z. R., Everson, R. & Yin, H. (eds.). Springer Verlag, p. 813-819 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3177).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    5 Citations (Scopus)
  • Viterbi algorithm for intrusion type identification in anomaly detection system

    Koo, J. M. & Cho, S. B., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Chae, K. & Yung, M. (eds.). Springer Verlag, p. 97-110 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2908).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)
  • 2003

    Neural network ensemble with negatively correlated features for cancer classification

    Won, H. H. & Cho, S. B., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Kaynak, O., Alpaydin, E., Oja, E. & Xu, L. (eds.). Springer Verlag, p. 1143-1150 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2714).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    5 Citations (Scopus)
  • Two sophisticated techniques to improve HMM-based intrusion detection systems

    Cho, S. B. & Han, S. J., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vigna, G., Kruegel, C., Jonsson, E. & Kruegel, C. (eds.). Springer Verlag, p. 207-219 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2820).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    11 Citations (Scopus)