Geometric SMOTE for regression

Pre-processing approaches for imbalanced distributions in regression

(2019) Paula Branco et al.   NEUROCOMPUTING

Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE

(2019) Georgios Douzas et al.   INFORMATION SCIENCES

Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE

(2018) Georgios Douzas et al.   INFORMATION SCIENCES

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

(2018) Alberto Fernandez et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Survey of Predictive Modeling on Imbalanced Domains

(2016) Paula Branco et al.   ACM COMPUTING SURVEYS

Resampling strategies for regression

(2014) Luís Torgo et al.   EXPERT SYSTEMS

DBSMOTE: Density-Based Synthetic Minority Over-sampling TEchnique

(2011) Chumphol Bunkhumpornpat et al.   APPLIED INTELLIGENCE

On the Importance of Data Balancing for Symbolic Regression

(2009) E. Vladislavleva et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Learning from Imbalanced Data

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

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE