TY  - GEN 
AU  - Sáez Muñoz, José Antonio
AU  - Krawczyk, Bartosz
AU  - Wozniak, Michal
PY  - 2016
UR  - https://hdl.handle.net/10481/100234
AB  - Canonical machine learning algorithms assume that the number of objects in the considered classes are roughly similar. However, in many real-life situations the distribution of examples is skewed since the examples of some of the classes appear much...
LA  - eng
PB  - Elsevier
KW  - machine learning
KW  - imbalanced classification
KW  - multi-class imbalance
KW  - oversampling
KW  - minority class types
TI  - Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets
DO  - 10.1016/j.patcog.2016.03.012
ER  -