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A Constrained Box Algorithm For Imbalanced Data In Remote Sensing Images, Wajira Abeysinghe

Master of Science in Computer Science Theses

Imbalanced data is a common problem in machine learning where the number of observations that belong to one class is significantly lower than other classes. Due to the skewed distribution among the classes, most classification algorithms fail to classify minority instances effectively. The class imbalance problem can be found in many domains such as credit card fraud detection and rare diseases diagnosis.

Imbalanced data is a prominent issue also in remote sensing images (RSI) which are used to obtain information of earth resources and the surrounding environment. RSI are collected by special cameras that capture information from a specific wavelength …