Listar LSI_Articles por autoría "6c527aef-5fe4-4e25-add6-5fa50d622863"
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A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
Alejo Eleuterio, Roberto; Valdovinos Rosas, Rosa María; García, Vicente; Pacheco Sánchez, J. H. Elsevier (2013)Class imbalance and class overlap are two of the major problems in data mining and machine learning. Several studies have shown that these data complexities may affect the performance or behavior of artificial neural ... -
Back propagation with balanced MSE cost Function and nearest neighbor editing for handling class overlap and class imbalance
Alejo Eleuterio, Roberto; Martínez Sotoca, José; García, Vicente; Valdovinos Rosas, Rosa María Springer (2011)The class imbalance problem has been considered a critical factor for designing and constructing the supervised classifiers. In the case of artificial neural networks, this complexity negatively affects the generalization ... -
Resampling methods versus cost functions for training an MLP in the class imbalance context
Alejo Eleuterio, Roberto; Martínez Sotoca, José; Valdovinos Rosas, Rosa María; Gasca, Eduardo; Toribio Luna, Primitivo Springer-Verlag (2011)The class imbalance problem has been studied from different approaches, some of the most popular are based on resizing the data set or internally basing the discrimination-based process. Both methods try to compensate the ... -
Use of ensemble based on GA for imbalance problem
Cleofás Sánchez, Laura; Valdovinos Rosas, Rosa María; García, Vicente; Alejo Eleuterio, Roberto Springer Verlag (Germany) (2009)In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifier performance, in particular with patterns ...