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Disambiguation of "Aridas, Christos K."

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Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems.

, , , and . EANN, volume 744 of Communications in Computer and Information Science, page 111-121. Springer, (2017)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Georgios Sarantis-Aridas

Christos Kapnukajas

Christos Vlachos

Christos Xenakis

Christos Melemenidis

 

Other publications of authors with the same name

Combining Active Learning with Self-train algorithm for classification of multimodal problems., , , , and . IISA, page 1-8. IEEE, (2019)Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme., , , , and . Entropy, 21 (10): 988 (2019)Combining random forest and support vector machines for semi-supervised learning., and . Panhellenic Conference on Informatics, page 123-128. ACM, (2015)Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems., , , and . EANN, volume 744 of Communications in Computer and Information Science, page 111-121. Springer, (2017)A Deep Dense Neural Network for Bankruptcy Prediction., , , and . EANN, volume 1000 of Communications in Computer and Information Science, page 435-444. Springer, (2019)Rotation forest of random subspace models., , , , and . Intell. Decis. Technol., 16 (2): 315-324 (2022)Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme., , , , and . AIAI, volume 559 of IFIP Advances in Information and Communication Technology, page 37-49. Springer, (2019)Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning., , and . J. Mach. Learn. Res., (2017)Stacking Strong Ensembles of Classifiers., , , and . AIAI, volume 559 of IFIP Advances in Information and Communication Technology, page 545-556. Springer, (2019)Increasing Diversity in Random Forests Using Naive Bayes., , and . AIAI, volume 475 of IFIP Advances in Information and Communication Technology, page 75-86. Springer, (2016)