Georgios Douzas
Georgios Douzas
Machine Learning Researcher
Dirección de correo verificada de novaims.unl.pt
Título
Citado por
Citado por
Año
Effective data generation for imbalanced learning using conditional generative adversarial networks
G Douzas, F Bacao
Expert Systems with applications 91, 464-471, 2018
2052018
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
2002018
Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning
G Douzas, F Bacao
Expert systems with Applications 82, 40-52, 2017
592017
Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE
G Douzas, F Bacao
Information sciences 501, 118-135, 2019
342019
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
162009
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
142019
Geometric SMOTE: Effective oversampling for imbalanced learning through a geometric extension of SMOTE
G Douzas, F Bacao
arXiv preprint arXiv:1709.07377, 2017
72017
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
32008
G-SOMO: An oversampling approach based on self-organized maps and geometric SMOTE
G Douzas, R Rauch, F Bacao
Expert Systems with Applications, 115230, 2021
2021
cluster-over-sampling
G Douzas, F Bacao
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–10