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      Exploring data augmentation and active learning benefits in imbalanced datasets 

      Moles, Luis; Andrés Fernández, Alain; Echegaray López, Goretti; Boto Sánchez, Fernando (MDPI, 2024-06-19)
      Despite the increasing availability of vast amounts of data, the challenge of acquiring labeled data persists. This issue is particularly serious in supervised learning scenarios, where labeled data are essential for model ...