A Bayesian Approach to Classify Conference Papers. - Kok-Chin Khor; Choo-Yee Ting (MICAI, 2006)

A Probabilistic Approach for Network Intrusion Detection. - Kok-Chin Khor; Choo-Yee Ting; Somnuk Phon-Amnuaisuk (Asia International Conference on Modelling and Simulation, 2008)

Evidence Conflict Analysis Approach to Obtain an Optimal Feature Set for Bayesian Tutoring Systems. - Choo-Yee Ting; Kok-Chin Khor; Yok-Cheng Sam (ICICA (LNCS), 2012)

A cascaded classifier approach for improving detection rates on rare attack categories in network intrusion detection. - Kok-Chin Khor; Choo-Yee Ting; Somnuk Phon-Amnuaisuk (Appl. Intell., 2012)

The Effectiveness of Sampling Methods for the Imbalanced Network Intrusion Detection Data Set. - Kok-Chin Khor; Choo-Yee Ting; Somnuk Phon-Amnuaisuk (SCDM, 2014)

StockProF: a stock profiling framework using data mining approaches. - Keng Hoong Ng; Kok-Chin Khor (Inf. Syst. E Bus. Manag., 2017)

A Multiple Classifiers System for Anomaly Detection in Credit Card Data With Unbalanced and Overlapped Classes. - Suraya Nurain Kalid; Keng Hoong Ng; Gee-Kok Tong; Kok-Chin Khor (IEEE Access, 2020)

Transfer Learning on Inception ResNet V2 for Expiry Reminder: A Mobile Application Development. - Wi-Yi Ong; Chian Wen Too; Kok-Chin Khor (MobiWIS, 2021)

Construction of Optimal Stock Market Portfolios Using Outlier Detection Algorithm. - Gee-Kok Tong; Keng Hoong Ng; Wun-She Yap; Kok-Chin Khor (SCDS, 2021)

Identifying the Important Demographic and Financial Factors Related to the Mortality Rate of COVID-19 with Data Mining Techniques. - Nur Sara Zainudin; Keng Hoong Ng; Kok-Chin Khor (SCDS, 2021)

Evaluation of Recommendation Models for Matchmaking. - Way-Siang Goh; Chian Wen Too; Meei-Hao Hoo; Kok-Chin Khor (ICO, 2022)

A Comparison of Machine Learning Models for Currency Pair Forecasting. - Jia-Sheng Lee; Yoke Leng Yong; Meei-Hao Hoo; Kok-Chin Khor (ICO, 2022)

Mitigating unbalanced and overlapped classes in credit card fraud data with enhanced stacking classifiers system. - Nur Amirah Ishak; Keng Hoong Ng; Gee-Kok Tong; Suraya Nurain Kalid; Kok-Chin Khor (F1000Research, 2022)

Medical equipment recognition using deep transfer learning. - Shi-Ting Wong; Chian Wen Too; Wun-She Yap; Kok-Chin Khor (J. Intell. Fuzzy Syst., 2022)

Fairness-Aware Unmanned Aerial Vehicle-Mounted Base Station Placement with Quality of Service Provisioning. - Yen Khai Lim; Shengqi Jiang; Kok-Chin Khor; Ying Loong Lee; Feng Ke (IC3INA, 2023)

Multi-Task YOLO for Vehicle Colour Recognition and Automatic License Plate Recognition. - Yin-Loon Khor; Yi Jie Wong; Mau-Luen Tham; Yoong Choon Chang; Ban-Hoe Kwan; Kok-Chin Khor (EAIS, 2024)

Detecting Frauds and Payment Defaults on Credit Card Data Inherited With Imbalanced Class Distribution and Overlapping Class Problems: A Systematic Review. - Suraya Nurain Kalid; Kok-Chin Khor; Keng Hoong Ng; Gee-Kok Tong (IEEE Access, 2024)

PointADAM: Unsupervised Adversarial Domain Adaptation on Point Clouds With Metric Learning via Compact Feature Representation. - Jiajia Lu; Wun-She Yap; Kok-Chin Khor (IEEE Access, 2024)

Profiling and Identifying Smurfs or Boosters on Dota 2 Using K-Means and IQR. - Ying-Jih Ding; Wun-She Yap; Kok-Chin Khor (IEEE Trans. Games, 2024)

Harnessing Machine Learning for Predictive Insights in Mobile Banking: A Malaysian Perspective. - Hui Shan Lee; Kee Seng Kuang; Bik Kai Sia; Kok-Chin Khor (ICAIIC, 2025)