| Implementing AutoML in Educational Data Mining for Prediction Tasks M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos Applied Sciences 10 (1), 90, 2020 | 81 | 2020 |
| Transfer Learning from Deep Neural Networks for Predicting Student Performance M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos Applied Sciences 10 (6), 2145, 2020 | 75 | 2020 |
| 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 | 27 | 2018 |
| 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 | 20 | 2021 |
| Deep Dense Neural Network for Early Prediction of Failure-Prone Students G Kostopoulos, M Tsiakmaki, S Kotsiantis, O Ragos Machine Learning Paradigms, 291-306, 2020 | 8 | 2020 |
| Fuzzy-based Active Learning for Predicting Student Academic Performance M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos Proceedings of the 6th International Conference on Engineering & MIS 2020, 1-6, 2020 | 5 | 2020 |
| A Case Study of Interpretable Counterfactual Explanations for the Task of Predicting Student Academic Performance M Tsiakmaki, O Ragos 2021 25th International Conference on Circuits, Systems, Communications and …, 2021 | 2 | 2021 |
| Implementing the CROP Reference Architecture: The CROP Learning Object Editor. M Tsiakmaki, C Hartonas BCI (Local), 72, 2013 | 2 | 2013 |
| Implementing the CROP reference architecture: the CROP learning service M Tsiakmaki, C Hartonas Proceedings of the 19th Panhellenic Conference on Informatics, 55-56, 2015 | 1 | 2015 |
Omiros RagosDepartment of Mathematics, University of Patras, GreeceVerified email at math.upatras.gr
