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Murat, M. and Chang, S.W. and Abu, A. and Yap, H.J. and Yong, K.T. (2017) Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach. PeerJ, 5. e3792. ISSN 2167-8359, DOI https://doi.org/10.7717/peerj.3792.
Wong, S.Y. and Yap, K.S. and Yap, H.J. and Tan, S.C. and Chang, S.W. (2015) On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation. IEEE Transactions on Neural Networks and Learning Systems, 26 (7). pp. 1417-1430. ISSN 2162-237X, DOI https://doi.org/10.1109/TNNLS.2014.2341655.
Chang, S.W. and Kallarakkal, T.G. and Abraham, M.T. (2014) Changed expression of E-cadherin and Galectin-9 in oral squamous cell carcinomas but lack of potential as prognostic markers. Asian Pacific Journal of Cancer Prevention, 15 (5). pp. 2145-2152. ISSN 1513-7368, DOI https://doi.org/10.7314/APJCP.2014.15.5.2145.
Chang, S.W. and Kareem, S.A. and Merican, A.F.M.A. and Zain, R.B. (2014) A hybrid prognostic model for oral cancer based on clinicopathologic and genomic markers. Sains Malaysiana, 43 (4). ISSN 0126-6039,
Chang, S.W. and Abdul-Kareem, S. and Merican, A.F. and Zain, R.B. (2013) Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods. BMC Bioinformatics, 14. ISSN 1471-2105,
Chang, S.W. and Kareem, S.A. and Kallarakkal, A.F. and Merican, A.F. and Abraham, M.T. and Zain, R.B. (2011) Feature selection methods for optimizing clinicopathologic input variables in oral cancer prognosis. Asian Pacific Journal of Cancer Prevention, 12 (10). ISSN 1513-7368, DOI PMID: 22320970.
