Dr. Georgios Kostopoulos
Dr. Georgios Kostopoulos
University of Patras, Department of Mathematics, ESDLab, Greece
Verified email at sch.gr
Title
Cited by
Cited by
Year
Semi-supervised regression: A recent review
G Kostopoulos, S Karlos, S Kotsiantis, O Ragos
Journal of Intelligent & Fuzzy Systems 35 (2), 1483-1500, 2018
432018
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
292015
Predicting student performance in distance higher education using semi-supervised techniques
G Kostopoulos, S Kotsiantis, P Pintelas
Model and data engineering, 259-270, 2015
262015
Implementing AutoML in educational data mining for prediction tasks
M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos
Applied Sciences 10 (1), 90, 2020
192020
Predicting student performance in distance higher education using active learning
G Kostopoulos, AD Lipitakis, S Kotsiantis, G Gravvanis
International Conference on Engineering Applications of Neural Networks, 75-86, 2017
162017
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
152018
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
122019
Transfer learning from deep neural networks for predicting student performance
M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos
Applied Sciences 10 (6), 2145, 2020
112020
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
92018
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
92018
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
82019
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
52020
Using active learning methods for predicting fraudulent financial statements
S Karlos, G Kostopoulos, S Kotsiantis, V Tampakas
International Conference on Engineering Applications of Neural Networks, 351-362, 2017
52017
Self-trained extreme gradient boosting trees
N Fazakis, G Kostopoulos, S Karlos, S Kotsiantis, K Sgarbas
2019 10th international conference on information, Intelligence, Systems and …, 2019
42019
Evaluating active learning methods for bankruptcy prediction
G Kostopoulos, S Karlos, S Kotsiantis, V Tampakas
International Conference on Brain Function Assessment in Learning, 57-66, 2017
42017
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
32017
Enhancing high school students' performance based on semi-supervised methods
G Kostopoulos, IE Livieris, S Kotsiantis, V Tampakas
2017 8th International Conference on Information, Intelligence, Systems …, 2017
32017
Iterative robust semi-supervised missing data imputation
N Fazakis, G Kostopoulos, S Kotsiantis, I Mporas
IEEE Access 8, 90555-90569, 2020
22020
An active learning ensemble method for regression tasks
N Fazakis, G Kostopoulos, S Karlos, S Kotsiantis, K Sgarbas
Intelligent Data Analysis 24 (3), 607-623, 2020
22020
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
12020
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