Geometric SMOTE: Effective oversampling for imbalanced learning through a geometric extension of SMOTE. - Georgios Douzas; Fernando Bação (CoRR, 2017)

Oversampling for Imbalanced Learning Based on K-Means and SMOTE. - Felix Last; Georgios Douzas; Fernando Bação (CoRR, 2017)

Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning. - Georgios Douzas; Fernando Bação (Expert Syst. Appl., 2017)

Effective data generation for imbalanced learning using conditional generative adversarial networks. - Georgios Douzas; Fernando Bação (Expert Syst. Appl., 2018)

Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE. - Georgios Douzas; Fernando Bação; Felix Last (Inf. Sci., 2018)

Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE. - Georgios Douzas; Fernando Bação (Inf. Sci., 2019)

Imbalanced Learning in Land Cover Classification: Improving Minority Classes' Prediction Accuracy Using the Geometric SMOTE Algorithm. - Georgios Douzas; Fernando Bação; João Fonseca; Manvel Khudinyan (Remote. Sens., 2019)

G-SOMO: An oversampling approach based on self-organized maps and geometric SMOTE. - Georgios Douzas; Rene Rauch; Fernando Bação (Expert Syst. Appl., 2021)

Improving Imbalanced Land Cover Classification with K-Means SMOTE: Detecting and Oversampling Distinctive Minority Spectral Signatures. - João Fonseca; Georgios Douzas; Fernando Bação (Inf., 2021)

Increasing the Effectiveness of Active Learning: Introducing Artificial Data Generation in Active Learning for Land Use/Land Cover Classification. - João Fonseca; Georgios Douzas; Fernando Bação (Remote. Sens., 2021)

Geometric SMOTE for regression. - Luís Camacho; Georgios Douzas; Fernando Bação (Expert Syst. Appl., 2022)