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ORCIDSotiris B. Kotsiantis
- > Home > Persons > Sotiris B. Kotsiantis
Publications
- 2023
[j76]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): 3-20 (2023)- 2022
- [j72]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): 315-324 (2022) - 2020
- [j60]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: 2122-2133 (2020) - 2019
- [j50]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): 988 (2019) - [j49]Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis:
Hybrid local boosting utilizing unlabeled data in classification tasks. Evol. Syst. 10(1): 51-61 (2019) - [c71]Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis:
A Deep Dense Neural Network for Bankruptcy Prediction. EANN 2019: 435-444 - [c70]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: 37-49 - [c69]Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis:
Stacking Strong Ensembles of Classifiers. AIAI 2019: 545-556 - [c67]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: 1-8 - 2017
- [c50]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: 111-121 - 2016
- [c45]Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis:
Increasing Diversity in Random Forests Using Naive Bayes. AIAI 2016: 75-86 - [c44]Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis:
Combining Prototype Selection with Local Boosting. AIAI 2016: 94-105 - 2015
- [c33]Christos K. Aridas, Sotiris B. Kotsiantis:
Combining random forest and support vector machines for semi-supervised learning. Panhellenic Conference on Informatics 2015: 123-128
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