Dr Nayomi Dulanjala Sewwandi Mahawaga Arachchige
Research Data Coordinator
Frazer Institute
Journal Articles
Susanto, Alyssa, Kahler, Sam, Dulanjala Sewwandi, M. A. Nayomi, Mothershaw, Adam, Goldinger, Simone M., Mar, Victoria, Janda, Monika, Soyer, H.Peter and Primiero, Clare (2025). Three-dimensional total body photography enables automated obesity-related comorbidity screening in dermatology. Journal of Investigative Dermatology, 146 (3), 855-858. doi: 10.1016/j.jid.2025.09.001
Sewwandi, Mahawaga Arachchige Nayomi Dulanjala, Li, Yuefeng and Zhang, Jinglan (2024). Granule-specific feature selection for continuous data classification using neighborhood rough sets. Expert Systems with Applications, 238 (Part C) 121765, 121765. doi: 10.1016/j.eswa.2023.121765
Sewwandi, M. A. N. D., Li, Yuefeng and Zhang, Jinglan (2024). k-outlier removal based on contextual label information and cluster purity for continuous data classification. Expert Systems with Applications, 237 (Part C) 121347, 1-15. doi: 10.1016/j.eswa.2023.121347
Sewwandi, M. A.N.D., Li, Yuefeng and Zhang, Jinglan (2023). A class-specific feature selection and classification approach using neighborhood rough set and K-nearest neighbor theories. Applied Soft Computing, 143 110366, 1-13. doi: 10.1016/j.asoc.2023.110366
Sewwandi, M. A. N. D., Li, Yuefeng and Zhang, Jinglan (2021). Automated granule discovery in continuous data for feature selection. Information Sciences, 578, 323-343. doi: 10.1016/j.ins.2021.07.042
Thesis
Mahawaga Arachchige, Nayomi Dulanjala Sewwandi (2023). In-depth feature selection for continuous data classification with granule mining. PhD Thesis, School of Computer Science, Queensland University of Technology. doi: 10.5204/thesis.eprints.239503