Christos K. Aridas

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 15

Top Topics

Active Learning

Top Venues

Intell. Decis. Technol.

Publications

Stamatis Karlos, Christos K. Aridas, Vasileios G. Kanas, Sotiris Kotsiantis
Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes. Neural Comput. Appl. 35 (1) (2023)
Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, George A. Gravvanis, Michael N. Vrahatis
Rotation forest of random subspace models. Intell. Decis. Technol. 16 (2) (2022)
Christos K. Aridas, Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Sotiris B. Kotsiantis
Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets. IEEE Access 8 (2020)
Stamatis Karlos, Vasileios G. Kanas, Christos K. Aridas, Nikos Fazakis, Sotiris Kotsiantis
Combining Active Learning with Self-train algorithm for classification of multimodal problems. IISA (2019)
Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
Stacking Strong Ensembles of Classifiers. AIAI (2019)
Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
Hybrid local boosting utilizing unlabeled data in classification tasks. Evol. Syst. 10 (1) (2019)
Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
A Deep Dense Neural Network for Bankruptcy Prediction. EANN (2019)
Nikos Fazakis, Vasileios G. Kanas, Christos K. Aridas, Stamatis Karlos, Sotiris Kotsiantis
Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme. Entropy 21 (10) (2019)
Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Christos K. Aridas, Sotiris Kotsiantis
Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme. AIAI (2019)
Christos K. Aridas, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems. EANN (2017)
Guillaume Lemaitre, Fernando Nogueira, Christos K. Aridas
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning. J. Mach. Learn. Res. 18 (2017)
Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
Combining Prototype Selection with Local Boosting. AIAI (2016)
Guillaume Lemaitre, Fernando Nogueira, Christos K. Aridas
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning. CoRR (2016)
Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
Increasing Diversity in Random Forests Using Naive Bayes. AIAI (2016)
Christos K. Aridas, Sotiris B. Kotsiantis
Combining random forest and support vector machines for semi-supervised learning. Panhellenic Conference on Informatics (2015)