A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
Pattern Recognition Letters, 2013 - Elsevier
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 …
machine learning. Several studies have shown that these data complexities may affect the …
A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
R Alejo, RM Valdovinos, V García… - Pattern …, 2013 - ui.adsabs.harvard.edu
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 …
machine learning. Several studies have shown that these data complexities may affect the …
A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
R Alejo, RM Valdovinos, V García… - Pattern Recognition …, 2013 - infona.pl
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 …
machine learning. Several studies have shown that these data complexities may affect the …
A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
R Alejo, RM Valdovinos, V GarcíA… - Pattern Recognition …, 2013 - dl.acm.org
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 …
machine learning. Several studies have shown that these data complexities may affect the …
[PDF][PDF] A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
R Alejo, RM Valdovinos, V García… - Pattern Recognition …, 2013 - academia.edu
abstract 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 …
and machine learning. Several studies have shown that these data complexities may affect …
[PDF][PDF] A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
R Alejo, RM Valdovinos, V García… - Pattern Recognition …, 2013 - researchgate.net
abstract 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 …
and machine learning. Several studies have shown that these data complexities may affect …