Michael J. Siers

Novel algorithms for cost-sensitive classification and knowledge discovery in class imbalanced datasets with an application to NASA software defects

Md Zahidul Islam, Michael J. Siers, M. Islam, 2018, Inf. Sci..

Standoff-Balancing: A Novel Class Imbalance Treatment Method Inspired by Military Strategy

Md Zahidul Islam, Michael J. Siers, M. Islam, 2015, Australasian Conference on Artificial Intelligence.

Addressing Class Imbalance and Cost Sensitivity in Software Defect Prediction by Combining Domain Costs and Balancing Costs

Md Zahidul Islam, Michael J. Siers, 2016, ADMA.

Cost Sensitive Decision Forest and Voting for Software Defect Prediction

Md Zahidul Islam, Michael J. Siers, 2014, PRICAI.

Data science for class imbalanced and cost-sensitive data and its application to software defect prediction

Michael J. Siers, 2019 .

WaterDM: A knowledge discovery and decision support tool for efficient dam management

Zahidul Islam, Michael J. Siers, Michael Furner, 2016 .

Software defect prediction using a cost sensitive decision forest and voting, and a potential solution to the class imbalance problem

Md Zahidul Islam, Michael J. Siers, M. Islam, 2015, Inf. Syst..

RBClust: High quality class-specific clustering using rule-based classification

Md Zahidul Islam, Michael J. Siers, M. Islam, 2016, ESANN.

Class Imbalance and Cost-Sensitive Decision Trees

Michael J. Siers, J SiersMichael, IslamMd Zahidul, 2020, ACM Trans. Knowl. Discov. Data.