Stebėti
Dr. Georgios Kostopoulos
Dr. Georgios Kostopoulos
Hellenic Open University, University of Patras-Department of Mathematics, ESDLab, Greece
Patvirtintas el. paštas sch.gr
Pavadinimas
Cituota
Cituota
Metai
Semi-supervised regression: A recent review
G Kostopoulos, S Karlos, S Kotsiantis, O Ragos
Journal of Intelligent & Fuzzy Systems 35 (2), 1483-1500, 2018
1332018
Transfer learning from deep neural networks for predicting student performance
M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos
Applied Sciences 10 (6), 2145, 2020
992020
Implementing AutoML in educational data mining for prediction tasks
M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos
Applied Sciences 10 (1), 90, 2019
982019
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
542015
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
522020
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
402015
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
362019
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
352017
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
332018
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
322018
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
282020
Iterative robust semi-supervised missing data imputation
N Fazakis, G Kostopoulos, S Kotsiantis, I Mporas
IEEE Access 8, 90555-90569, 2020
282020
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
272019
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
252021
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
242021
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
182017
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
172021
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
152018
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
122022
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
112017
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20