Wooi Ping Cheah

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Wooi Ping Cheah

Teaching Fellow

Calculated based on number of publications stored in Pure and citations from Scopus
20072024

Research activity per year

  • 16 Article
  • 14 Conference contribution
  • 1 Review article
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Conference contribution

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  • 2024

    Cardinality and Bounding Constrained Portfolio Optimization Using Safe Reinforcement Learning

    Li, Y., Du, N., Song, X., Yang, X., Cui, T., Xue, N., Farjudian, A., Ren, J. & Cheah, W. P., 2024, 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • 2022

    How Do Undergraduates Perceive Online Learning During Pandemic?

    Susaie, C., Tan, C. K. & Cheah, W. P., 2022, Proceedings of the 8th International Conference on Computational Science and Technology - ICCST 2021. Alfred, R. & Lim, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 207-216 10 p. (Lecture Notes in Electrical Engineering; vol. 835).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • 2020

    Assessment of Security Risk Impact on Mobile Payment Services

    Ganesan, T., Ong, T. S., Cheah, W. P. & Connie, T., 26 Sept 2020, IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020. Institute of Electrical and Electronics Engineers Inc., 9257829. (IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)
  • 2019

    Integrating Deep Learning and Bayesian Reasoning

    Tan, S. Y., Cheah, W. P. & Tan, S. C., 2019, Dependability in Sensor, Cloud, and Big Data Systems and Applications - 5th International Conference, DependSys 2019, Proceedings. Wang, G., Bhuiyan, M. Z. A., De Capitani di Vimercati, S. & Ren, Y. (eds.). Springer, p. 119-130 12 p. (Communications in Computer and Information Science; vol. 1123 CCIS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • 2018

    A revisit of reducing hidden nodes in a radial basis function neural network with histogram

    Goh, P. Y., Tan, S. C. & Cheah, W. P., 2018, Neural Information Processing - 25th International Conference, ICONIP 2018, Proceedings. Leung, A. C. S., Ozawa, S. & Cheng, L. (eds.). Springer Verlag, p. 722-731 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11302 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • 2017

    Facial expression recognition using a hybrid CNN-SIFT aggregator

    Connie, T., Al-Shabi, M., Cheah, W. P. & Goh, M., 2017, Multi-disciplinary Trends in Artificial Intelligence - 11th International Workshop, MIWAI 2017, Proceedings. Phon-Amnuaisuk, S., Ang, S.-P. & Lee, S.-Y. (eds.). Springer Verlag, p. 139-149 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10607 LNAI).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    98 Citations (Scopus)
  • 2016

    Anomaly detection using correctness matching through a neighborhood rough set

    Goh, P. Y., Tan, S. C. & Cheah, W. P., 2016, Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Hirose, A., Lee, M., Liu, D., Doya, K., Ikeda, K. & Ozawa, S. (eds.). Springer Verlag, p. 434-441 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9949 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • Classifying human activities with temporal extension of random forest

    Ooi, S. Y., Tan, S. C. & Cheah, W. P., 2016, Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings. Ikeda, K., Lee, M., Hirose, A., Ozawa, S., Doya, K. & Liu, D. (eds.). Springer Verlag, p. 3-10 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9950 LNCS).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)
  • 2015

    A True Bayesian Estimate concept in LTE downlink scheduling algorithm

    Bin Kamarul Hatta, K. A., Wee, K., Cheah, W. P. & Wee, Y., 28 Dec 2015, 25th International Telecommunication Networks and Applications Conference, ITNAC 2015. Institute of Electrical and Electronics Engineers Inc., p. 71-76 6 p. 7366791. (25th International Telecommunication Networks and Applications Conference, ITNAC 2015).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    2 Citations (Scopus)
  • 2014

    Anomaly based intrusion detection through temporal classification

    Ooi, S. Y., Tan, S. C. & Cheah, W. P., 2014, Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Loo, C. K., Yap, K. S., Wong, K. W., Teoh, A. & Huang, K. (eds.). Springer Verlag, p. 612-619 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8836).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    3 Citations (Scopus)
  • 2009

    Causal design knowledge acquisition by constructing BBN through FCM

    Kim, Y. S., Kim, K. Y. J., Cheah, W. P. & Yang, H. J., 2009, 2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008. PART A ed. ASME, p. 43-51 9 p. (2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008; vol. 1, no. PART A).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • 2008

    Adaptive Fuzzy Clustering for improving classification performance in yeast data set

    Kim, M. S., Yang, H. J. & Cheah, W. P., 2008, 2008 4th International IEEE Conference Intelligent Systems, IS 2008. p. 182-187 6 p. 4670457. (2008 4th International IEEE Conference Intelligent Systems, IS 2008; vol. 2).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • Causal design knowledge acquisition by constructing BBN through FCM

    Kim, Y. S., Kim, K. Y. J., Cheah, W. P. & Yang, H. J., 2008, 34th Design Automation Conference. PARTS A AND B ed. American Society of Mechanical Engineers (ASME), p. 43-51 9 p. (Proceedings of the ASME Design Engineering Technical Conference; vol. 1, no. PARTS A AND B).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    3 Citations (Scopus)
  • 2007

    A manufacturing-environmental model using bayesian belief networks for assembly design decision support

    Cheah, W. P., Kim, K. Y., Yang, H. J., Choi, S. Y. & Lee, H. J., 2007, New Trends in Applied Artificial Intelligence - 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, lEA/AlE 2007, Proceedings. Springer Verlag, p. 374-383 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4570 LNAI).

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    8 Citations (Scopus)