Christos K. Aridas

15 papers C 2Misc 4Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes.
Neural Comput. Appl.
Stamatis Karlos, Christos K. Aridas, Vasileios G. Kanas, Sotiris Kotsiantis
2022 J jnl
Rotation forest of random subspace models.
Intell. Decis. Technol.
Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, George A. Gravvanis, Michael N. Vrahatis
2020 J jnl
Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets.
IEEE Access
Christos K. Aridas, Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Sotiris B. Kotsiantis
2019 C conf
A Deep Dense Neural Network for Bankruptcy Prediction.
EANN
Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
2019 J jnl
Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme.
Entropy
Nikos Fazakis, Vasileios G. Kanas, Christos K. Aridas, Stamatis Karlos, Sotiris Kotsiantis
2019 — conf
Combining Active Learning with Self-train algorithm for classification of multimodal problems.
IISA
Stamatis Karlos, Vasileios G. Kanas, Christos K. Aridas, Nikos Fazakis, Sotiris Kotsiantis
2019 J jnl
Hybrid local boosting utilizing unlabeled data in classification tasks.
Evol. Syst.
Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
2019 Misc conf
Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme.
AIAI
Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Christos K. Aridas, Sotiris Kotsiantis
2019 Misc conf
Stacking Strong Ensembles of Classifiers.
AIAI
Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
2017 J jnl
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning.
J. Mach. Learn. Res.
Guillaume Lemaitre, Fernando Nogueira, Christos K. Aridas
2017 C conf
Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems.
EANN
Christos K. Aridas, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
2016 Misc conf
Combining Prototype Selection with Local Boosting.
AIAI
Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
2016 J jnl
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning.
CoRR
Guillaume Lemaitre, Fernando Nogueira, Christos K. Aridas
2016 Misc conf
Increasing Diversity in Random Forests Using Naive Bayes.
AIAI
Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
2015 — conf
Combining random forest and support vector machines for semi-supervised learning.
Panhellenic Conference on Informatics
Christos K. Aridas, Sotiris B. Kotsiantis