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Georgios Douzas
Georgios Douzas
Machine Learning Researcher
Verified email at novaims.unl.pt
Title
Cited by
Cited by
Year
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
G Douzas, F Bacao, F Last
Information sciences 465, 1-20, 2018
11772018
Effective data generation for imbalanced learning using conditional generative adversarial networks
G Douzas, F Bacao
Expert Systems with applications 91, 464-471, 2018
6142018
Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE
G Douzas, F Bacao
Information sciences 501, 118-135, 2019
2422019
Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning
G Douzas, F Bacao
Expert systems with Applications 82, 40-52, 2017
1892017
Imbalanced learning in land cover classification: Improving minority classes’ prediction accuracy using the geometric SMOTE algorithm
G Douzas, F Bacao, J Fonseca, M Khudinyan
Remote Sensing 11 (24), 3040, 2019
862019
Geometric SMOTE for regression
L Camacho, G Douzas, F Bacao
Expert Systems with Applications 193, 116387, 2022
622022
Improving imbalanced land cover classification with K-Means SMOTE: detecting and oversampling distinctive minority spectral signatures
J Fonseca, G Douzas, F Bacao
Information 12 (7), 266, 2021
372021
Geometric SMOTE: Effective oversampling for imbalanced learning through a geometric extension of SMOTE
G Douzas, F Bacao
arXiv preprint arXiv:1709.07377, 2017
222017
G-SOMO: An oversampling approach based on self-organized maps and geometric SMOTE
G Douzas, R Rauch, F Bacao
Expert Systems with Applications 183, 115230, 2021
202021
Increasing the effectiveness of active learning: introducing artificial data generation in active learning for land use/land cover classification
J Fonseca, G Douzas, F Bacao
Remote Sensing 13 (13), 2619, 2021
192021
Coset space dimensional reduction and Wilson flux breaking of ten-dimensional N=1, E8 gauge theory
G Douzas, T Grammatikopoulos, G Zoupanos
European Physical Journal C 59, 917-935, 2009
172009
Improving the quality of predictive models in small data GSDOT: A new algorithm for generating synthetic data
G Douzas, M Lechleitner, F Bacao
Plos one 17 (4), e0265626, 2022
162022
Coset space dimensional reduction and classification of semi‐realistic particle physics models
G Douzas, T Grammatikopoulos, J Madore, G Zoupanos
Progress of Physics 56 (4-5), 422-429, 2008
42008
Using Genetic Programming to Improve Data Collection for Offline Reinforcement Learning
DR Halder, F Bacao, G Douzas
Available at SSRN 4980054, 2024
2024
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