A practical approach to sample-path simulation optimization. - Michael C. Ferris; Todd S. Munson; Krung Sinapiromsaran (WSC, 2000)

Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem. - Chumphol Bunkhumpornpat; Krung Sinapiromsaran; Chidchanok Lursinsap (PAKDD, 2009)

Attributes Scaling for K-means Algorithm Controlled by Misclassification of All Clusters. - Wacharasak Siriseriwan; Krung Sinapiromsaran (WKDD, 2010)

MUTE: Majority under-sampling technique. - Chumphol Bunkhumpornpat; Krung Sinapiromsaran; Chidchanok Lursinsap (ICICS, 2011)

Minority split and gain ratio for a class imbalance. - Kesinee Boonchuay; Krung Sinapiromsaran; Chidchanok Lursinsap (FSKD, 2011)

Network intrusion detection using multi-attributed frame decision tree. - Krung Sinapiromsaran; Narudom Techaval (DICTAP, 2012)

DBSMOTE: Density-Based Synthetic Minority Over-sampling TEchnique. - Chumphol Bunkhumpornpat; Krung Sinapiromsaran; Chidchanok Lursinsap (Appl. Intell., 2012)

Artificial-free simplex algorithm based on the non-acute constraint relaxation. - Aua-aree Boonperm; Krung Sinapiromsaran (Appl. Math. Comput., 2014)

Proceedings in Adaptation, Learning and Optimization. - Suebkul Kanchanasuk; Krung Sinapiromsaran (IES, 2015)

Proceedings in Adaptation, Learning and Optimization. - Panote Songwattanasiri; Krung Sinapiromsaran (IES, 2015)

CORE: core-based synthetic minority over-sampling and borderline majority under-sampling technique. - Chumphol Bunkhumpornpat; Krung Sinapiromsaran (Int. J. Data Min. Bioinform., 2015)

Multiple ARIMA subsequences aggregate time series model to forecast cash in ATM. - Paisit Khanarsa; Krung Sinapiromsaran (KST, 2017)

DBMUTE: density-based majority under-sampling technique. - Chumphol Bunkhumpornpat; Krung Sinapiromsaran (Knowl. Inf. Syst., 2017)

Decision tree induction based on minority entropy for the class imbalance problem. - Kesinee Boonchuay; Krung Sinapiromsaran; Chidchanok Lursinsap (Pattern Anal. Appl., 2017)

Mass Ratio Variance Majority Undersampling and Minority Oversampling Technique for Class Imbalance. - Piboon Polvimoltham; Krung Sinapiromsaran (FSDM, 2021)

Mass-ratio-variance based Outlier Factor. - Phichapop Changsakul; Somjai Boonsiri; Krung Sinapiromsaran (JCSSE, 2021)

Random forest algorithm using quartile-pattern bootstrapping for a class imbalanced problem. - Worawit Jitpakdeebodin; Krung Sinapiromsaran (IVSP, 2023)

Static Class-Level Approach For Test Impact Analysis. - Alon Basin; Arthorn Luangsodsai; Krung Sinapiromsaran (JCSSE, 2023)

Mass-Ratio-Average-Absolute-Deviation Based Outlier Factor for Anomaly Scoring. - Zehong Fan; Arthorn Luangsodsai; Krung Sinapiromsaran (JCSSE, 2024)