Christos K. Aridas

According to our database, Christos K. Aridas authored at least 14 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes.

Stamatis Karlos, Christos K. Aridas, Vasileios G. Kanas, Sotiris Kotsiantis

Neural Comput. Appl., 2023

2022

Rotation forest of random subspace models.

Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, George A. Gravvanis, Michael N. Vrahatis

Intell. Decis. Technol., 2022

2020

Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets.

Christos K. Aridas, Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Sotiris B. Kotsiantis

IEEE Access, 2020

2019

Hybrid local boosting utilizing unlabeled data in classification tasks.

Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis

Evol. Syst., 2019

Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme.

Nikos Fazakis, Vasileios G. Kanas, Christos K. Aridas, Stamatis Karlos, Sotiris Kotsiantis

Entropy, 2019

Combining Active Learning with Self-train algorithm for classification of multimodal problems.

Stamatis Karlos, Vasileios G. Kanas, Christos K. Aridas, Nikos Fazakis, Sotiris Kotsiantis

Proceedings of the 10th International Conference on Information, 2019

Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme.

Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Christos K. Aridas, Sotiris Kotsiantis

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

Stacking Strong Ensembles of Classifiers.

Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

A Deep Dense Neural Network for Bankruptcy Prediction.

Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis

Proceedings of the Engineering Applications of Neural Networks, 2019

2017

Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning.

Guillaume Lemaitre, Fernando Nogueira, Christos K. Aridas

J. Mach. Learn. Res., 2017

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

Christos K. Aridas, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis

Proceedings of the Engineering Applications of Neural Networks, 2017

2016

Combining Prototype Selection with Local Boosting.

Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis

Proceedings of the Artificial Intelligence Applications and Innovations, 2016

Increasing Diversity in Random Forests Using Naive Bayes.

Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis

Proceedings of the Artificial Intelligence Applications and Innovations, 2016

2015

Combining random forest and support vector machines for semi-supervised learning.

Christos K. Aridas, Sotiris B. Kotsiantis

Proceedings of the 19th Panhellenic Conference on Informatics, 2015