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A Simple Evaluation Model for Feature Subset Selection Algorithms., , , , and . Inteligencia Artif., 10 (32): 9-17 (2006)An Experimental Design to Evaluate Class Imbalance Treatment Methods., , and . ICMLA (2), page 95-101. IEEE, (2012)978-1-4673-4651-1.Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules., , and . HIS, page 537-542. IEEE Computer Society, (2008)Improving kNN classification under Unbalanced Data. A New Geometric Oversampling Approach., and . IJCNN, page 1-6. IEEE, (2018)Setting Parameters for Support Vector Machines using Transfer Learning., and . Journal of Intelligent and Robotic Systems, 80 (Supplement-1): 295-311 (2015)PolyWaTT: A polynomial water travel time estimator based on Derivative Dynamic Time Warping and Perceptually Important Points., , , and . Comput. Geosci., (2018)New approaches in machine learning for rule generation, class imbalance and rankings.. University of São Paulo, Brazil, (2006)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-01092006-155445).The Comprehension of Figurative Language: What Is the Influence of Irony and Sarcasm on NLP Techniques?, , and . Sentiment Analysis and Ontology Engineering, volume 639 of Studies in Computational Intelligence, Springer, (2016)Mining DEOPS Records: Big Data's Insights into Dictatorship., and . eScience Workshops, page 67-70. IEEE, (2014)978-1-4799-4288-6.A Comparison of Methods for Rule Subset Selection Applied to Associative Classification., , , and . Inteligencia Artif., 10 (32): 29-35 (2006)