Zerrendatu honen arabera: non argitaratua "Conference of the Spanish Association for Artificial Intelligence (CAEPIA)"

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Generalized SMOTE: A universal generation oversampling technique for all data types in imbalanced learning

Cernuda, Carlos; Reguera-Bakhache, Daniel; Aguirre, Aitor; Iturbe Urretxa, Mikel; Garitano, Iñaki; Zurutuza, Urko (CAEPIA, 2021)

A common problem that arises when facing classification tasks is the class imbalance problem, which happens when one or more classes are heavily underrepresented compared to the rest, being usually those minority classes ...