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Instance selection for regression by discretization.

, , , и . Expert Syst. Appl., (2016)

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Isabel María Díez San José

Francisco José Rubia

José Francisco Aramendi

José Francisco Heitzmann

Francisco José Leon Escapini

 

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Disturbing Neighbors Ensembles of Trees for Imbalanced Data., , , и . ICMLA (2), стр. 83-88. IEEE, (2012)978-1-4673-4651-1.License Plate Number Recognition - New Heuristics and a Comparative Study of Classifiers., , , и . ICINCO-RA (1), стр. 268-273. INSTICC Press, (2008)Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification., , , и . CoRR, (2018)GRASP Forest: A New Ensemble Method for Trees., , , и . MCS, том 6713 из Lecture Notes in Computer Science, стр. 66-75. Springer, (2011)Random Oracle Ensembles for Imbalanced Data., , и . MCS, том 7872 из Lecture Notes in Computer Science, стр. 247-258. Springer, (2013)Deep learning and support vector machines for transcription start site identification., , , и . PeerJ Comput. Sci., (2023)Seshat - a web-based educational resource for teaching the most common algorithms of lexical analysis., , , и . Comput. Appl. Eng. Educ., 26 (6): 2255-2265 (2018)Instance selection improves geometric mean accuracy: a study on imbalanced data classification., , , и . Prog. Artif. Intell., 8 (2): 215-228 (2019)Instance selection for regression: Adapting DROP., , , и . Neurocomputing, (2016)Imbalanced Learning Ensembles for Defect Detection in X-Ray Images., , , и . IEA/AIE, том 7906 из Lecture Notes in Computer Science, стр. 654-663. Springer, (2013)