A Nodes Reduction Procedure for RBFNDDA through Histogram. - Pey Yun Goh; Shing Chiang Tan; Wooi Ping Cheah (ICONIP (1), 2014)

Anomaly Detection Using Correctness Matching Through a Neighborhood Rough Set. - Pey Yun Goh; Shing Chiang Tan; Wooi Ping Cheah (ICONIP (3), 2016)

Fuzzy ARTMAP with Binary Relevance for Multi-label Classification. - Lik Xun Yuan; Shing Chiang Tan; Pey Yun Goh; Chee Peng Lim; Junzo Watada (KES-IDT (2), 2017)

Reducing the complexity of an adaptive radial basis function network with a histogram algorithm. - Pey Yun Goh; Shing Chiang Tan; Wooi Ping Cheah; Chee Peng Lim (Neural Comput. Appl., 2017)

A Revisit of Reducing Hidden Nodes in a Radial Basis Function Neural Network with Histogram. - Pey Yun Goh; Shing Chiang Tan; Wooi Ping Cheah (ICONIP (2), 2018)

Adaptive rough radial basis function neural network with prototype outlier removal. - Pey Yun Goh; Shing Chiang Tan; Wooi Ping Cheah; Chee Peng Lim (Inf. Sci., 2019)

Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Kok Swee Sim; Chee Peng Lim; Pey Yun Goh (Appl. Soft Comput., 2022)

An Ensemble-Based Parallel Deep Learning Classifier With PSO-BP Optimization for Malware Detection. - Mohammed Nasser Al-Andoli; Kok Swee Sim; Shing Chiang Tan; Pey Yun Goh; Chee Peng Lim (IEEE Access, 2023)

An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Kok Swee Sim; Pey Yun Goh; Chee Peng Lim (J. Intell. Fuzzy Syst., 2023)

A Framework for Robust Deep Learning Models Against Adversarial Attacks Based on a Protection Layer Approach. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Kok Swee Sim; Pey Yun Goh; Chee Peng Lim (IEEE Access, 2024)

Cervical cancer classification using sparse stacked autoencoder and fuzzy ARTMAP. - Lawrence Chuin Ming Liaw; Shing Chiang Tan; Pey Yun Goh; Chee Peng Lim (Neural Comput. Appl., 2024)

A histogram SMOTE-based sampling algorithm with incremental learning for imbalanced data classification. - Lawrence Chuin Ming Liaw; Shing Chiang Tan; Pey Yun Goh; Chee Peng Lim (Inf. Sci., 2025)