| 2019 | EANN | A Deep Dense Neural Network for Bankruptcy Prediction. | Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis |
| 2017 | EANN | 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 |
| 2015 | EANN | Self-Train LogitBoost for Semi-supervised Learning. | Stamatis Karlos, Nikos Fazakis, Sotiris B. Kotsiantis, Kyriakos N. Sgarbas |
| 2015 | MEDI | Predicting Student Performance in Distance Higher Education Using Semi-supervised Techniques. | Georgios Kostopoulos, Sotiris B. Kotsiantis, Panagiotis E. Pintelas |
| 2007 | ETFA | Towards an ontology-based system for intelligent prediction of firms with fraudulent financial statements. | Dimitris Kanellopoulos, Sotiris B. Kotsiantis, Vasilis Tampakas |
| 2007 | KES | Combining Bagging, Boosting and Dagging for Classification Problems. | Sotiris B. Kotsiantis, Dimitris Kanellopoulos |
| 2006 | ICANN | Financial Application of Neural Networks: Two Case Studies in Greece. | Sotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas |
| 2005 | ICALT | Predicting Students' Marks in Hellenic Open University. | Sotiris B. Kotsiantis, Panayiotis E. Pintelas |
| 2004 | AIMSA | Bagged Voting Ensembles. | Sotiris B. Kotsiantis, Panayiotis E. Pintelas |
| 2004 | AIMSA | Increasing the Classification Accuracy of Simple Bayesian Classifier. | Sotiris B. Kotsiantis, Panayiotis E. Pintelas |
| 2003 | KES | Preventing Student Dropout in Distance Learning Using Machine Learning Techniques. | Sotiris B. Kotsiantis, Christos Pierrakeas, Panayiotis E. Pintelas |