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Michael J. Siers

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2020 – today

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2021
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Michael J. Siers, Md Zahidul Islam:
Class Imbalance and Cost-Sensitive Decision Trees: A Unified Survey Based on a Core Similarity. ACM Trans. Knowl. Discov. Data 15(1): 4:1-4:31 (2021)

2010 – 2019

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2018
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Michael J. Siers, Md Zahidul Islam:
Novel algorithms for cost-sensitive classification and knowledge discovery in class imbalanced datasets with an application to NASA software defects. Inf. Sci. 459: 53-70 (2018)
2016
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Michael J. Siers, Md Zahidul Islam:
Addressing Class Imbalance and Cost Sensitivity in Software Defect Prediction by Combining Domain Costs and Balancing Costs. ADMA 2016: 156-171
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Michael J. Siers, Md Zahidul Islam:
RBClust: High quality class-specific clustering using rule-based classification. ESANN 2016
2015
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Michael J. Siers, Md Zahidul Islam:
Software defect prediction using a cost sensitive decision forest and voting, and a potential solution to the class imbalance problem. Inf. Syst. 51: 62-71 (2015)
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Michael J. Siers, Md Zahidul Islam:
Standoff-Balancing: A Novel Class Imbalance Treatment Method Inspired by Military Strategy. Australasian Conference on Artificial Intelligence 2015: 517-525
2014
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Michael J. Siers, Md Zahidul Islam:
Cost Sensitive Decision Forest and Voting for Software Defect Prediction. PRICAI 2014: 929-936

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