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2020 – today
- 2022
[j3]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
- [j2]Stamatios-Aggelos N. Alexandropoulos, Panos M. Pardalos, Michael N. Vrahatis:
Dynamic search trajectory methods for global optimization. Ann. Math. Artif. Intell. 88(1-3): 3-37 (2020)
2010 – 2019
- 2019
- [j1]Stamatios-Aggelos N. Alexandropoulos
, Sotiris B. Kotsiantis, Michael N. Vrahatis:
Data preprocessing in predictive data mining. Knowl. Eng. Rev. 34: e1 (2019) - [c4]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 - [c3]Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis:
Stacking Strong Ensembles of Classifiers. AIAI 2019: 545-556 - [c2]Georgios S. Temponeras, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis:
Financial Fraudulent Statements Detection through a Deep Dense Artificial Neural Network. IISA 2019: 1-5 - 2017
- [c1]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
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