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Alberto Fernandez Hilario's Projects

c4.5-binarization-smote icon c4.5-binarization-smote

Implementation of C4.5 + Binarization (OVO / OVA) with/without SMOTE preprocessing. This way, multi-class imbalanced problems can be addressed

chi-frbcs icon chi-frbcs

Java implementation of the well-known Chi et al algorithm, following KEEL Software Suite programming style.

chi-frbcs-rs icon chi-frbcs-rs

Evolutionary Fuzzy System for Rule Selection. Baseline algorithm Chi-FRBCS. CHC approach

chifrbcspy icon chifrbcspy

Chi FRBCS implementation in Python. Scikit-learn compatible

efis-moea icon efis-moea

EFIS-MOEA algorithm from: A. Fernandez et al: A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets (IJNS - 2017)

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