Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Class Imbalances versus Class Overlapping: an Analysis of a Learning System Behavior
The Effect of Class Distribution on Classifier Learning: An Empirical Study
Hierarchical classification for dealing with the Class imbalance problem
Class-Boundary Alignment for Imbalanced Dataset Learning
Progressive Boosting for Class Imbalance
A systematic study of the class imbalance problem in convolutional neural networks
CLASSIFICATION OF IMBALANCED DATA: A REVIEW
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
Classification with class imbalance problem: a review
A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
Ensemble Strategy for Hard Classifying Samples in Class-Imbalanced Data Set
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
Class imbalance problem in the Network Intrusion Detection Systems
A critical assessment of imbalanced class distribution problem: The case of predicting freshmen student attrition
Discriminative learning for differing training and test distributions
DATA MINING FOR IMBALANCED DATASETS: AN OVERVIEW
Imbalanced Data learning Approaches
Adapted ensemble classification algorithm based on multiple classifier system and feature selection for classifying multi-class imbalanced data
Weighted extreme learning machine for imbalance learning
Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance
chapter 1 ensemble methods : a review .
Autonomous Flight in GPS-Denied Environments Using Monocular Vision and Inertial Sensors
An Efficient VLSI Architecture for Discrete Hadamard Transform
Modeling of split-phase machines in Park's coordinates. Part II: Equivalent circuit representation
Measuring the accuracy of diagnostic systems