Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Data Imbalance Problem solving for SMOTE Based Oversampling: Study on Fault Detection Prediction Model in Semiconductor Manufacturing Process
SMOTE: Synthetic Minority Over-sampling Technique
Literature Survey on Outlier Detection Techniques For Imperfect Data Labels
Exploratory Under-Sampling for Class-Imbalance Learning
CGMOS: Certainty Guided Minority OverSampling
Transfer learning for class imbalance problems with inadequate data
Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems
Learning from Imbalanced Data
Combating the Small Sample Class Imbalance Problem Using Feature Selection
Feature Selection in Imbalance data sets
Using SVM based method for equipment fault detection in a thermal power plant
DATA MINING FOR IMBALANCED DATASETS: AN OVERVIEW
Empowering Imbalanced Data in Supervised Learning: A Semi-supervised Learning Approach
Applying support vector machines to imbalanced datasets
Industrial Big Data for Fault Diagnosis: Taxonomy, Review, and Applications
Boosting support vector machines for imbalanced data sets
MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning
Revisiting unsupervised learning for defect prediction
A systematic and comprehensive investigation of methods to build and evaluate fault prediction models
A Multi-Source TrAdaBoost Approach for Cross- Company Defect Prediction
Efficient resampling methods for training support vector machines with imbalanced datasets
Using Anchors to Estimate Clinical State without Labeled Data.
Context adaptation in interactive recommender systems
kello depa depa warmth and competence as universal dimensions of social perception : the stereotype content model and the bias map .
A Comparison of Two Learning Algorithms for Text Categorization
Motion Estimation Based on EMG and EEG Signals to Control Wearable Robots