Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data.

Yutao Chen Yu Zhang Fei Yang

Published in: ACML (2021)

Keyphrases

imbalanced data
linear regression
class distribution
decision trees
ensemble methods
learning from imbalanced data
imbalanced datasets
support vector machine
active learning
classification models
sampling methods
machine learning
least squares
random forest
class imbalance
learning process
feature selection