| Semi-supervised regression: A recent review G Kostopoulos, S Karlos, S Kotsiantis, O Ragos Journal of Intelligent & Fuzzy Systems 35 (2), 1483-1500, 2018 | 136 | 2018 |
| Transfer learning from deep neural networks for predicting student performance M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos Applied Sciences 10 (6), 2145, 2020 | 106 | 2020 |
| Implementing AutoML in educational data mining for prediction tasks M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos Applied Sciences 10 (1), 90, 2019 | 103 | 2019 |
| Estimating student dropout in distance higher education using semi-supervised techniques G Kostopoulos, S Kotsiantis, P Pintelas Proceedings of the 19th Panhellenic conference on informatics, 38-43, 2015 | 56 | 2015 |
| A soft-voting ensemble based co-training scheme using static selection for binary classification problems S Karlos, G Kostopoulos, S Kotsiantis Algorithms 13 (1), 26, 2020 | 53 | 2020 |
| Predicting student performance in distance higher education using semi-supervised techniques G Kostopoulos, S Kotsiantis, P Pintelas Model and Data Engineering: 5th International Conference, MEDI 2015, Rhodes …, 2015 | 40 | 2015 |
| Multiview learning for early prognosis of academic performance: a case study G Kostopoulos, S Karlos, S Kotsiantis IEEE Transactions on Learning Technologies 12 (2), 212-224, 2019 | 37 | 2019 |
| Predicting student performance in distance higher education using active learning G Kostopoulos, AD Lipitakis, S Kotsiantis, G Gravvanis Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 35 | 2017 |
| Predicting university students' grades based on previous academic achievements M Tsiakmaki, G Kostopoulos, G Koutsonikos, C Pierrakeas, S Kotsiantis, ... 2018 9th international conference on information, Intelligence, Systems and …, 2018 | 32 | 2018 |
| Forecasting students' success in an open university G Kostopoulos, S Kotsiantis, C Pierrakeas, G Koutsonikos, GA Gravvanis International Journal of Learning Technology 13 (1), 26-43, 2018 | 32 | 2018 |
| Iterative robust semi-supervised missing data imputation N Fazakis, G Kostopoulos, S Kotsiantis, I Mporas IEEE Access 8, 90555-90569, 2020 | 30 | 2020 |
| Early dropout prediction in MOOCs through supervised learning and hyperparameter optimization T Panagiotakopoulos, S Kotsiantis, G Kostopoulos, O Iatrellis, A Kameas Electronics 10 (14), 1701, 2021 | 29 | 2021 |
| Predicting and interpreting students’ grades in distance higher education through a semi-regression method S Karlos, G Kostopoulos, S Kotsiantis Applied Sciences 10 (23), 8413, 2020 | 29 | 2020 |
| A semi-supervised regression algorithm for grade prediction of students in distance learning courses G Kostopoulos, S Kotsiantis, N Fazakis, G Koutsonikos, C Pierrakeas International Journal on Artificial Intelligence Tools 28 (04), 1940001, 2019 | 27 | 2019 |
| Fuzzy-based active learning for predicting student academic performance using autoML: a step-wise approach M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos Journal of Computing in Higher Education 33 (3), 635-667, 2021 | 25 | 2021 |
| Early dropout prediction in distance higher education using active learning G Kostopoulos, S Kotsiantis, O Ragos, TN Grapsa 2017 8th International Conference on Information, Intelligence, Systems …, 2017 | 20 | 2017 |
| Interpretable models for early prediction of certification in MOOCs: A case study on a MOOC for smart city professionals G Kostopoulos, T Panagiotakopoulos, S Kotsiantis, C Pierrakeas, ... IEEE Access 9, 165881-165891, 2021 | 17 | 2021 |
| CST-Voting: A semi-supervised ensemble method for classification problems G Kostopoulos, IE Livieris, S Kotsiantis, V Tampakas Journal of Intelligent & Fuzzy Systems 35 (1), 99-109, 2018 | 15 | 2018 |
| Exploiting semi-supervised learning in the education field: A critical survey G Kostopoulos, S Kotsiantis Advances in Machine Learning/Deep Learning-based Technologies: Selected …, 2022 | 12 | 2022 |
| Using active learning methods for predicting fraudulent financial statements S Karlos, G Kostopoulos, S Kotsiantis, V Tampakas Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 11 | 2017 |
Sotiris KotsiantisAssociate Professor, Department of Mathematics, University of Patras, GreeceVerified email at math.upatras.gr
