• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
1994 …2020

Research activity per year

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  • 2018

    Multiple Function Approximation - A New Approach Using Complex Fuzzy Inference System

    Tu, C. H. & Li, C., 2018, Intelligent Information and Database Systems - 10th Asian Conference, ACIIDS 2018, Proceedings. Pham, H., Nguyen, N. T., Trawinski, B., Hoang, D. H. & Hong, T-P. (eds.). Springer Verlag, p. 243-254 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10751 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Scopus citations
  • 2017

    A novel entropy-based approach to feature selection

    Tu, C. H. & Li, C., 2017, Intelligent Information and Database Systems - 9th Asian Conference, ACIIDS 2017, Proceedings. Tojo, S., Nguyen, L. M., Nguyen, N. T. & Trawinski, B. (eds.). Springer Verlag, p. 445-454 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10191 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2012

    Knowledge discovery by an intelligent approach using complex fuzzy sets

    Li, C. & Chan, F. T., 2012, Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings. PART 1 ed. p. 320-329 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7196 LNAI, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    13 Scopus citations
  • 2011

    Complex-fuzzy adaptive image restoration - An artificial-bee-colony-based learning approach

    Li, C. & Chan, F., 2011, Intelligent Information and Database Systems - Third International Conference, ACIIDS 2011, Proceedings. PART 2 ed. p. 90-99 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6592 LNAI, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    19 Scopus citations
  • Complex fuzzy computing to time series prediction - A multi-swarm PSO learning approach

    Li, C. & Chiang, T. W., 2011, Intelligent Information and Database Systems - Third International Conference, ACIIDS 2011, Proceedings. PART 2 ed. p. 242-251 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6592 LNAI, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    25 Scopus citations
  • Intelligent forecasting of S&P 500 time series - A self-organizing fuzzy approach

    Li, C. & Cheng, H. H., 2011, Intelligent Information and Database Systems - Third International Conference, ACIIDS 2011, Proceedings. PART 2 ed. p. 411-420 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6592 LNAI, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Neural fuzzy forecasting of the China Yuan to US dollar exchange rate - A swarm intelligence approach

    Li, C., Lin, C. W. & Huang, H., 2011, Advances in Swarm Intelligence - Second International Conference, ICSI 2011, Proceedings. PART 1 ed. p. 616-625 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6728 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 2010

    Complex neuro-fuzzy intelligent approach to function approximation

    Li, C., Chiang, T. W., Hu, J. W. & Wu, T., 2010, 3rd International Workshop on Advanced Computational Intelligence, IWACI 2010. p. 151-156 6 p. 5585191. (3rd International Workshop on Advanced Computational Intelligence, IWACI 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • Complex neuro-fuzzy self-learning approach to function approximation

    Li, C. & Chiang, T. W., 2010, Intelligent Information and Database Systems - Second International Conference, ACIIDS, Proceedings. PART 2 ed. p. 289-299 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5991 LNAI, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    15 Scopus citations
  • Hybrid learning fuzzy approach to function approximation

    Li, C., Wu, T., Chiang, T. W. & Hu, J. W., 2010, 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010. 5716191. (2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2007

    Hardware neuro-fuzzy learning

    Li, C. & Tsai, Z. Y., 2007, Proceedings - Third International Conference on Natural Computation, ICNC 2007. p. 282-286 5 p. 4304725. (Proceedings - Third International Conference on Natural Computation, ICNC 2007; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2006

    Image restoration using RO learning approach

    Li, C., Yeh, C. H. & Lee, J., 2006, Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006. FTT-37. (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • 2005

    Hybrid learning neuro-fuzzy approach for complex modeling using asymmetric fuzzy sets

    Li, C., Cheng, K. H. & Lee, J. D., 2005, ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05. IEEE Computer Society, p. 5-9 5 p. 1562968. (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; vol. 2005).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    10 Scopus citations
  • 2004

    Soft computing approach to adaptive noise filtering

    Li, C., Cheng, K. H., Chen, C. M. & Chen, J. L., 2004, 2004 IEEE Conference on Cybernetics and Intelligent Systems. p. 1-5 5 p. (2004 IEEE Conference on Cybernetics and Intelligent Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • 2002

    Fuzzy depth control of an unmanned free-swimming submersible vehicle

    Li, C. & Chen, Y. C., 2002, IEEE 5th International Conference on Intelligent Transportation Systems, ITSC 2002 - Proceedings. Lee, D-H., Srinivasan, D. & Cheu, R. L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 194-199 6 p. 1041213. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; vol. 2002-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations