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Computational Complexity Reduction and Interpretability Improvement of Distance-Based Decision Trees., and . HAIS (1), volume 7208 of Lecture Notes in Computer Science, page 288-297. Springer, (2012)Prototype-Based Threshold Rules., and . ICONIP (3), volume 4234 of Lecture Notes in Computer Science, page 1028-1037. Springer, (2006)Instance Selection with Neural Networks for Regression Problems., and . ICANN (2), volume 7553 of Lecture Notes in Computer Science, page 263-270. Springer, (2012)Infosel++: Information Based Feature Selection C++ Library., , , and . ICAISC (1), volume 6113 of Lecture Notes in Computer Science, page 388-396. Springer, (2010)Prototype Rules from SVM., and . Rule Extraction from Support Vector Machines, volume 80 of Studies in Computational Intelligence, Springer, (2008)Data Compression Measures for Meta-Learning Systems., , and . FedCSIS, volume 15 of Annals of Computer Science and Information Systems, page 25-28. (2018)Ensembles of Instance Selection Methods based on Feature Subset.. KES, volume 35 of Procedia Computer Science, page 388-396. Elsevier, (2014)Combining the Advantages of Neural Networks and Decision Trees for Regression Problems in a Steel Temperature Prediction System., , , , , and . HAIS (2), volume 7209 of Lecture Notes in Computer Science, page 36-45. Springer, (2012)Instance Selection in Logical Rule Extraction for Regression Problems., , and . ICAISC (2), volume 7895 of Lecture Notes in Computer Science, page 167-175. Springer, (2013)Do We Need Whatever More Than k-NN?, , and . ICAISC (1), volume 6113 of Lecture Notes in Computer Science, page 414-421. Springer, (2010)