Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: imbalanced time series data classification using oversampling technique .
Integrated Oversampling for Imbalanced Time Series Classification
Survey of resampling techniques for improving classification performance in unbalanced datasets
Distributional Random Oversampling for Imbalanced Text Classification
Handling imbalanced datasets: A review
of the Thesis Classification of Imbalanced Data Using Synthetic OverSampling Techniques by
Improved Sampling Techniques for Learning an Imbalanced Data Set
An insight into classification with imbalanced data : Empirical results and current trends on using data intrinsic characteristics
Efficient resampling methods for training support vector machines with imbalanced datasets
Roughly Balanced Bagging for Imbalanced Data
An overview of classification algorithms for imbalanced datasets
SCUT: Multi-class imbalanced data classification using SMOTE and cluster-based undersampling
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
Clustering-based undersampling in class-imbalanced data
Learning from Imbalanced Data
Cluster-based sampling of multiclass imbalanced data
Hybrid sampling for imbalanced data
Multiclass Imbalance Problems: Analysis and Potential Solutions
The class imbalance problem: A systematic study
Using Random Forest to Learn Imbalanced Data
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
An Integrative Review of Pediatric Early Warning System Scores
A hybrid approach for salt dome detection in 2D and 3D seismic data
One-Class SVMs for Document Classification
Efficient Safety Proofs for Industry-Scale Code Using Abstractions and Bounded Model Checking
The Future of Big Data Is ... JavaScript?