A Comparison of Re-sampling Techniques for Pattern Classification in Imbalanced Data-Sets.

Marcia Amstelvina Saul Shahin Rostami

Published in: UKCI (2018)

Keyphrases

pattern classification
imbalanced data sets
feature extraction
imbalanced data
pattern recognition
decision boundary
concept learning
random sampling
minority class
machine learning
computer vision
training set
high dimensional
active learning
monte carlo
class distribution
sampling methods
data sets