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A Comparative Study of Model-Agnostic and Importance-Based Feature Selection Approaches.

, , , and . CogMI, page 75-82. IEEE, (2023)

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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)Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data., , and . SEKE, page 74-79. Knowledge Systems Institute Graduate School, (2012)Software Defect Prediction for High-Dimensional and Class-Imbalanced Data., and . SEKE, page 89-94. Knowledge Systems Institute Graduate School, (2011)Learning from Software Quality Data with Class Imbalance and Noise., , , and . SEKE, page 487-. Knowledge Systems Institute Graduate School, (2007)A Novel Hybrid Search Algorithm for Feature Selection., , and . SEKE, page 81-86. Knowledge Systems Institute Graduate School, (2009)Maxout Neural Network for Big Data Medical Fraud Detection., , and . BigDataService, page 357-362. IEEE, (2019)Modelling software quality with GP., , , and . GECCO, page 1232. Morgan Kaufmann, (1999)Detecting Outliers Using Rule-Based Modeling for Improving CBR-Based Software Quality Classification Models., , and . ICCBR, volume 2689 of Lecture Notes in Computer Science, page 216-230. Springer, (2003)Deep Learning with Maxout Activations for Visual Recognition and Verification., , and . IRI, page 135-142. IEEE, (2019)Survey of review spam detection using machine learning techniques., , , , and . J. Big Data, (2015)