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Dive into the research topics where Georgios Douzas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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imbalanced-learn-extra: A Python Package for Novel Oversampling Algorithms
Douzas, G. & Bação, F., 19 Jan 2026, In: Journal of Open Research Software. 14, 1, 10 p., 1.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
Using genetic programming to improve data collection for offline reinforcement learning
Halder, D., Douzas, G. & Bação, F., Dec 2025, In: Swarm and Evolutionary Computation. 99, 26 p., 102140.Research output: Contribution to journal › Article › peer-review
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Geometric SMOTE for regression
Camacho, L., Douzas, G. & Bacao, F., 3 May 2022, In: Expert Systems with Applications. 193, May, p. 1-8 8 p., 116387.Research output: Contribution to journal › Review article › peer-review
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Improving the quality of predictive models in small data GSDOT: A new algorithm for generating synthetic data
Douzas, G., Lechleitner, M. & Bacao, F., 7 Apr 2022, In: PLoS ONE. 17, 4, p. 1-15 15 p., e0265626.Research output: Contribution to journal › Article › peer-review
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G-SOMO: An oversampling approach based on self-organized maps and geometric SMOTE
Douzas, G., Rauch, R. & Bação, F., 30 Nov 2021, In: Expert Systems with Applications. 183, p. 1-11 11 p., 115230.Research output: Contribution to journal › Article › peer-review
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Datasets
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[Software] imbalanced-learn-extra: A Python package for novel oversampling algorithms
Douzas, G. (Creator) & Fonseca, J. (Contributor), GitHub, 31 May 2025
DOI: 10.5281/zenodo.15561407, https://github.com/georgedouzas/imbalanced-learn-extra
Dataset