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The use of decision trees for cost-sensitive classification: an empirical study in software quality prediction., and . WIREs Data Mining Knowl. Discov., 1 (5): 448-459 (2011)A Study of the Impact of Base Traditional Learners on Transfer Learning Algorithms., and . Int. J. Artif. Intell. Tools, 27 (6): 1850022:1-1850022:33 (2018)Deep Learning with Maxout Activations for Visual Recognition and Verification., , and . IRI, page 135-142. IEEE, (2019)Predicting Fault-Prone Modules in Embedded Systems Using Analogy-Based Classification Models., , and . International Journal of Software Engineering and Knowledge Engineering, 12 (2): 201-221 (2002)Using Twitter Content to Predict Psychopathy., , , and . ICMLA (2), page 394-401. IEEE, (2012)978-1-4673-4651-1.A Comparative Study on the Stability of Software Metric Selection Techniques., , , and . ICMLA (2), page 301-307. IEEE, (2012)978-1-4673-4651-1.Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets., , , and . ICMLA (1), page 418-423. IEEE, (2013)Comparing Transfer Learning and Traditional Learning Under Domain Class Imbalance., and . ICMLA, page 337-343. IEEE, (2017)Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research., , , and . ICMLA (1), page 154-160. IEEE, (2013)Simplifying the Utilization of Machine Learning Techniques for Bioinformatics., , , and . ICMLA (2), page 396-403. IEEE, (2013)978-0-7695-5144-9.