Georgios Douzas

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Using genetic programming to improve data collection for offline reinforcement learning.
Swarm Evol. Comput.
David Halder, Georgios Douzas, Fernando Bação
2022 J jnl
Geometric SMOTE for regression.
Expert Syst. Appl.
Luís Camacho, Georgios Douzas, Fernando Bação
2021 J jnl
G-SOMO: An oversampling approach based on self-organized maps and geometric SMOTE.
Expert Syst. Appl.
Georgios Douzas, Rene Rauch, Fernando Bação
2021 J jnl
Improving Imbalanced Land Cover Classification with K-Means SMOTE: Detecting and Oversampling Distinctive Minority Spectral Signatures.
Inf.
João Fonseca, Georgios Douzas, Fernando Bação
2021 J jnl
Increasing the Effectiveness of Active Learning: Introducing Artificial Data Generation in Active Learning for Land Use/Land Cover Classification.
Remote. Sens.
João Fonseca, Georgios Douzas, Fernando Bação
2019 J jnl
Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE.
Inf. Sci.
Georgios Douzas, Fernando Bação
2019 J jnl
Imbalanced Learning in Land Cover Classification: Improving Minority Classes' Prediction Accuracy Using the Geometric SMOTE Algorithm.
Remote. Sens.
Georgios Douzas, Fernando Bação, João Fonseca, Manvel Khudinyan
2018 J jnl
Effective data generation for imbalanced learning using conditional generative adversarial networks.
Expert Syst. Appl.
Georgios Douzas, Fernando Bação
2018 J jnl
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE.
Inf. Sci.
Georgios Douzas, Fernando Bação, Felix Last
2017 J jnl
Geometric SMOTE: Effective oversampling for imbalanced learning through a geometric extension of SMOTE.
CoRR
Georgios Douzas, Fernando Bação
2017 J jnl
Oversampling for Imbalanced Learning Based on K-Means and SMOTE.
CoRR
Felix Last, Georgios Douzas, Fernando Bação
2017 J jnl
Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning.
Expert Syst. Appl.
Georgios Douzas, Fernando Bação