A New Approach for Developing Segmentation Algorithms for Strongly Imbalanced Data

During the past two decades, the problem of how to develop efficient segmentation algorithms for dealing with strongly imbalanced data has been drawing much attention of researchers and practitioners in the field of data mining. A typical approach for this difficult problem is represented by a rando...

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Bibliographic Details
Main Authors: Kazuki Fujiwara, Maiko Shigeno, Ushio Sumita
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8737955/

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