Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory
borderline - smote : a new over - sampling method in imbalanced data sets learning .
Cluster-based sampling of multiclass imbalanced data
A Hybrid Feature Selection Algorithm For Classification Unbalanced Data Processsing
Survey of resampling techniques for improving classification performance in unbalanced datasets
Experimental perspectives on learning from imbalanced data
c4 . 5 and imbalanced data sets : investigating the eect of sampling method , probabilistic estimate , and decision tree structure .
Learning from imbalanced data: open challenges and future directions
Progressive Boosting for Class Imbalance
Multiclass Imbalance Problems: Analysis and Potential Solutions
SVMs Modeling for Highly Imbalanced Classification
Feature Selection based on Rough Sets and Particle Swarm Optimization
Rudiments of rough sets
The class imbalance problem: A systematic study
Rough set methods in feature selection and recognition
MMR: An algorithm for clustering categorical data using Rough Set Theory
Evolutionary undersampling for imbalanced big data classification
BRACID: a comprehensive approach to learning rules from imbalanced data
DATA MINING FOR IMBALANCED DATASETS: AN OVERVIEW
Addressing the Class Imbalance Problem in Medical Datasets
Rough set based feature selection : A review
Fully Distributed Scrum: The Secret Sauce for Hyperproductive Offshored Development Teams
Fast on-line index construction by geometric partitioning
The Coexistence of Arachnoid Cyst with First Episode Psychosis: Four Cases
A survey on search results diversification techniques
gSpan: graph-based substructure pattern mining