Deep Over-sampling Framework for Classifying Imbalanced Data

• Published in: Machine Learning and Knowledge Discovery in Databases Vol. 10534; pp. 770 - 785
• Main Authors: Ando, Shin, Huang, Chun Yuan
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2017; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Class imbalance; Convolutional neural network; Deep learning; Representation learning; Synthetic over-sampling

Class imbalance is a challenging issue in practical classification problems for deep learning models as well as traditional models. Traditionally successful countermeasures such as synthetic over-sampling have had limited success with complex, structured data handled by deep learning models. In this...