A comparison of distance-based semi-supervised fuzzy c-means clustering algorithms. - Daphne Teck Ching Lai; Jonathan M. Garibaldi (FUZZ-IEEE, 2011)

Investigating Distance Metrics in Semi-supervised Fuzzy c-Means for Breast Cancer Classification. - Daphne Teck Ching Lai; Jonathan M. Garibaldi (CIBB, 2012)

Improving semi-supervised fuzzy c-means classification of Breast Cancer data using feature selection. - Daphne Teck Ching Lai; Jonathan M. Garibaldi (FUZZ-IEEE, 2013)

Investigating distance metric learning in semi-supervised fuzzy c-means clustering. - Daphne Teck Ching Lai; Jonathan M. Garibaldi; Jenna Reps (FUZZ-IEEE, 2014)

Identifying stable breast cancer subgroups using semi-supervised fuzzy c-means on a reduced panel of biomarkers. - Daphne Teck Ching Lai; Jonathan M. Garibaldi (IJCNN, 2014)

A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means. - Daphne Teck Ching Lai; Jonathan M. Garibaldi; Daniele Soria; Christopher M. Roadknight (Central Eur. J. Oper. Res., 2014)

An exploration of improvements to semi-supervised fuzzy c-means clustering for real-world biomedical data. - Daphne Teck Ching Lai (2014)

An Integrated Pattern Recognition System for Knee Flexion Analysis. - Joko Triloka; S. M. N. Arosha Senanayake; Daphne Lai 001 (ACIIDS (2), 2016)

An EMG Knowledge-Based System for Leg Strength Classification and Vertical Jump Height Estimation of Female Netball Players. - Umar Yahya; S. M. N. Arosha Senanayake; Daphne Lai 001 (ACIIDS (2), 2016)

A Comparison of Distance Metrics in Semi-supervised Hierarchical Clustering Methods. - Abeer Aljohani; Daphne Teck Ching Lai; Paul C. Bell; Eran A. Edirisinghe (ICIC (3), 2017)

Multivariate Time Series Clustering Analysis for Human Balance Data. - Owais Ahmed Malik; Daphne Teck Ching Lai (MIWAI, 2017)

Neural computing for walking gait pattern identification based on multi-sensor data fusion of lower limb muscles. - Joko Triloka; S. M. N. Arosha Senanayake; Daphne Lai 001 (Neural Comput. Appl., 2017)

An Effective and Efficient Constrained Ward's Hierarchical Agglomerative Clustering Method. - Abeer A. Aljohani; Eran A. Edirisinghe; Daphne Teck Ching Lai (IntelliSys (1), 2019)

Semi-supervised data clustering using particle swarm optimisation. - Daphne Teck Ching Lai; Minami Miyakawa; Yuji Sato (Soft Comput., 2020)

Hybrid Multiobjective Evolutionary Algorithms for Unsupervised QPSO, BBPSO and Fuzzy clustering. - Daphne Teck Ching Lai; Yuji Sato (CEC, 2021)

Investigating Automated Hyper-Parameter Optimization for a Generalized Path Loss Model. - Usman Sammani Sani; Daphne Teck Ching Lai; Owais Ahmed Malik (CECNet, 2021)

An Empirical Study of Cluster-Based MOEA/D Bare Bones PSO for Data Clustering †. - Daphne Teck Ching Lai; Yuji Sato (Algorithms, 2021)

Identification and Classification of Driving Behaviour at Signalized Intersections Using Support Vector Machine. - Soni Lanka Karri; Liyanage Chandratilake De Silva; Daphne Teck Ching Lai; Shiaw Yin Yong (Int. J. Autom. Comput., 2021)

Mining Approximate Frequent Itemsets Using Pattern Growth Approach. - Shariq Bashir; Daphne Teck Ching Lai (Inf. Technol. Control., 2021)

Classification and Prediction of Driving Behaviour at a Traffic Intersection Using SVM and KNN. - Soni Lanka Karri; Liyanage C. De Silva; Daphne Teck Ching Lai; Shiaw Yin Yong (SN Comput. Sci., 2021)

Improved data clustering using multi-trial vector-based differential evolution with gaussian crossover. - Parham Hadikhani; Daphne Teck Ching Lai; Wee-Hong Ong; Mohammad H. Nadimi-Shahraki (GECCO Companion, 2022)

Proxy-Terms Based Query Obfuscation Technique for Private Web Search. - Shariq Bashir; Daphne Teck Ching Lai; Owais Ahmed Malik (IEEE Access, 2022)

A Systematic Review on Language Identification of Code-Mixed Text: Techniques, Data Availability, Challenges, and Framework Development. - Ahmad Fathan Hidayatullah; Atika Qazi; Daphne Teck Ching Lai; Rosyzie Anna Apong (IEEE Access, 2022)

Physics-Informed Neural Network (PINN) Evolution and Beyond: A Systematic Literature Review and Bibliometric Analysis. - Zaharaddeen Karami Lawal; Hayati Yassin; Daphne Teck Ching Lai; Azam Che-Idris (Big Data Cogn. Comput., 2022)

A Novel Skeleton-Based Human Activity Discovery Technique Using Particle Swarm Optimization with Gaussian Mutation. - Parham Hadikhani; Daphne Teck Ching Lai; Wee-Hong Ong (CoRR, 2022)

Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques: A Case Study from Brunei Darussalam. - Usman Khalil; Owais Ahmed Malik; Daphne Teck Ching Lai; Ong Sok King (CoRR, 2022)

Dynamic Regressor/Ensemble Selection for a Multi-Frequency and Multi-Environment Path Loss Prediction. - Usman Sammani Sani; Owais Ahmed Malik; Daphne Teck Ching Lai (Inf., 2022)

Segmentation for Multi-Rock Types on Digital Outcrop Photographs Using Deep Learning Techniques. - Owais Ahmed Malik; Idrus Puasa; Daphne Teck Ching Lai (Sensors, 2022)

Digital Detection of Acacia Mangium Trees via Remote Sensing for Controlling the Invasive Population of Biodiversity Threats: Case Study in Brunei. - Moad Idrissi; Ahmad Najiy Wahab; Dalia El-Banna; Daphne Lai 001; Ferry Slik; A. Taufiq Asyhari (IEEA, 2023)

Hybrid Fuzzy-Crisp Clustering Algorithm: Theory and Experiments. - Akira R. Kinjo; Daphne Teck Ching Lai (CoRR, 2023)

Corpus creation and language identification for code-mixed Indonesian-Javanese-English Tweets. - Ahmad Fathan Hidayatullah; Rosyzie Anna Apong; Daphne Teck Ching Lai; Atika Qazi (PeerJ Comput. Sci., 2023)

A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization With Gaussian Mutation. - Parham Hadikhani; Daphne Teck Ching Lai; Wee-Hong Ong (IEEE Trans. Hum. Mach. Syst., 2023)

FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net. - Kassim Kalinaki; Owais Ahmed Malik; Daphne Teck Ching Lai (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Automatic Deep Sparse Multi-Trial Vector-based Differential Evolution clustering with manifold learning and incremental technique. - Parham Hadikhani; Daphne Teck Ching Lai; Wee-Hong Ong; Mohammad H. Nadimi-Shahraki (Image Vis. Comput., 2023)

Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images. - Kassim Kalinaki; Owais Ahmed Malik; Daphne Teck Ching Lai; Rahayu Sukmaria Sukri; Rodzay bin Haji Abdul Wahab (Ecol. Informatics, 2023)

Word Level Language Identification in Indonesian-Javanese-English Code-Mixed Text. - Ahmad Fathan Hidayatullah; Rosyzie Anna Apong; Daphne Teck Ching Lai; Atika Qazi (ACLING, 2024)

Forest Canopy Cover Mapping in High-Resolution Multisource Satellite Imagery Using Attention Recurrent Residual U-Net. - Kassim Kalinaki; Owais Ahmed Malik; Daphne Teck Ching Lai (TENCON, 2024)

Flexible multi-objective particle swarm optimization clustering with game theory to address human activity discovery fully unsupervised. - Parham Hadikhani; Daphne Teck Ching Lai; Wee-Hong Ong (Image Vis. Comput., 2024)

Automatic deep sparse clustering with a dynamic population-based evolutionary algorithm using reinforcement learning and transfer learning. - Parham Hadikhani; Daphne Teck Ching Lai; Wee-Hong Ong; Mohammad H. Nadimi-Shahraki (Image Vis. Comput., 2024)

Human Activity Discovery With Automatic Multi-Objective Particle Swarm Optimization Clustering With Gaussian Mutation and Game Theory. - Parham Hadikhani; Daphne Teck Ching Lai; Wee-Hong Ong (IEEE Trans. Multim., 2024)

Understanding the Dynamics of Ocean Wave-Current Interactions Through Multivariate Multi-Step Time Series Forecasting. - Zaharaddeen Karami Lawal; Hayati Yassin; Daphne Teck Ching Lai; Azam Che-Idris (Appl. Artif. Intell., 2024)

Survey on retinal vessel segmentation. - Aruna Kranthi Godishala; Veena Raj; Daphne Teck Ching Lai; Hayati Yassin (Multim. Tools Appl., 2025)

Pre-trained language model for code-mixed text in Indonesian, Javanese, and English using transformer. - Ahmad Fathan Hidayatullah; Rosyzie Anna Apong; Daphne Teck Ching Lai; Atika Qazi (Soc. Netw. Anal. Min., 2025)