Dr. Georgios Kostopoulos
Dr. Georgios Kostopoulos
University of Patras, Department of Mathematics, ESDLab, Greece
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα sch.gr
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
242015
Semi-supervised regression: A recent review
G Kostopoulos, S Karlos, S Kotsiantis, O Ragos
Journal of Intelligent & Fuzzy Systems 35 (2), 1483-1500, 2018
232018
Predicting student performance in distance higher education using semi-supervised techniques
G Kostopoulos, S Kotsiantis, P Pintelas
Model and data engineering, 259-270, 2015
232015
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
112017
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
92018
Implementing AutoML in educational data mining for prediction tasks
M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos
Applied Sciences 10 (1), 90, 2020
82020
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
82019
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
82018
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
62018
Transfer Learning from Deep Neural Networks for Predicting Student Performance
M Tsiakmaki, G Kostopoulos, S Kotsiantis, O Ragos
Applied Sciences 10 (6), 2145, 2020
32020
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
32019
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
32017
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
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
32017
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
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
22020
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
22019
Iterative Robust Semi-Supervised Missing Data Imputation
N Fazakis, G Kostopoulos, S Kotsiantis, I Mporas
IEEE Access 8, 90555-90569, 2020
12020
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
2020
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