Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: borderline - smote : a new over - sampling method in imbalanced data sets learning .
A multiple resampling method for learning from imbalanced data sets
The class imbalance problem: A systematic study
Automatic Determination of Neighborhood Size in SMOTE
Applying support vector machines to imbalanced datasets
Imbalanced Data learning Approaches
SMOTEBoost: Improving Prediction of the Minority Class in Boosting
Empowering Imbalanced Data in Supervised Learning: A Semi-supervised Learning Approach
Distributional Random Oversampling for Imbalanced Text Classification
Class-Boundary Alignment for Imbalanced Dataset Learning
Online Active Learning with Imbalanced Classes
A Two-step Information Accumulation Strategy for Learning from Highly Imbalanced Data
Data mining with imbalanced class distributions: concepts and methods.
Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems
Cost-Sensitive Learning and the Class Imbalance Problem
Handling imbalanced datasets: A review
The class imbalance problem in pattern classification and learning
DATA MINING FOR IMBALANCED DATASETS: AN OVERVIEW
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy
Clustering-based undersampling in class-imbalanced data
SVMs Modeling for Highly Imbalanced Classification
Preventing the Complications Associated with the Use of Dermal Fillers in Facial Aesthetic Procedures: An Expert Group Consensus Report
Traffic sign recognition application based on image processing techniques
‘ Follow ’ My Constructed Instagram Lifestyle ! The impression management practices of lifestyle influencers on Instagram
Text categorization with support vector machines: Learning with many relevant features
Quantum Computing and Shor’s Algorithm