Dr. Daphne Lai Teck Ching

Lecturer
nb.ude.dbu@ial.enhpad

Portfolio

Educational Qualifications: BSc (Strathclyde), MSc (Kent), PhD (Nottingham)

Research Interests

  • Data mining: Cluster analysis, fuzzy clustering, biomedical or clinical informatics.
  • Artificial intelligence: Applying heuristics in data mining.

Teaching

  • SS-2205 Computer Networks
  • SS-3401 Discovering Computers
  • SS-4302 Artificial Intelligence

Research publications

  • Lai, D. T. C., Garibaldi, J. M. & Reps, J. Investigating distance metric learning in semi-supervised fuzzy c-means clustering. in 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 1817–1824 (IEEE, 2014). doi:10.1109/FUZZ-IEEE.2014.6891673

  • Lai, D. T. C. & Garibaldi, J. M. Identifying stable breast cancer subgroups using semi-supervised fuzzy c-means on a reduced panel of biomarkers. 2014 International Joint Conference on Neural Networks (IJCNN) 3613–3620 (IEEE, 2014). doi:10.1109/IJCNN.2014.6889437.

  • Lai, D. T. C., Garibaldi, J. M., Soria, D. & Roadknight, C. M. A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means. Cent. Eur. J. Oper. Res. 22, 475–499 (2013).

  • Lai, D. T. C. & Garibaldi, J. M. Improving semi-supervised fuzzy c-means classification of Breast Cancer data using feature selection. 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 1–8 (IEEE, 2013). doi:10.1109/FUZZ-IEEE.2013.6622544.

  • Lai, D. T. C. & Garibaldi, J. M. Investigating distance metrics in semi-supervised fuzzy c-means for breast cancer classification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7845, (Springer Berlin Heidelberg, 2013).