Improving Performance Prediction on Education Data with Noise and Class Imbalance

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

(2015) José A. Sáez et al.   INFORMATION SCIENCES

Mojo Hand, a TALEN design tool for genome editing applications

(2013) Kevin L Neff et al.   BMC BIOINFORMATICS

Ensemble-based noise detection: noise ranking and visual performance evaluation

(2013) Borut Sluban et al.   DATA MINING AND KNOWLEDGE DISCOVERY

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

(2013) Victoria López et al.   INFORMATION SCIENCES

Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data

(2012) Carlos Márquez-Vera et al.   APPLIED INTELLIGENCE

Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them)

(2011) D. Berrar et al.   BRIEFINGS IN BIOINFORMATICS

An empirical study of the classification performance of learners on imbalanced and noisy software quality data

(2011) Chris Seiffert et al.   INFORMATION SCIENCES

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

(2009) Chris Seiffert et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

Mining With Noise Knowledge: Error-Aware Data Mining

(2008) Xindong Wu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS