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Georgios Kostopoulos
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2020 – today
- 2021
- [j10]Georgios Kostopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Christos Pierrakeas, Achilles Kameas:
Interpretable Models for Early Prediction of Certification in MOOCs: A Case Study on a MOOC for Smart City Professionals. IEEE Access 9: 165881-165891 (2021) - [j9]Maria Tsiakmaki, Georgios Kostopoulos, Sotiris Kotsiantis, Omiros Ragos:
Fuzzy-based active learning for predicting student academic performance using autoML: a step-wise approach. J. Comput. High. Educ. 33(3): 635-667 (2021) - 2020
- [b1]Georgios Kostopoulos:
Ανάπτυξη πρωτότυπων αλγορίθμων μηχανικής μάθησης για χρήση σε εκπαιδευτικά δεδομένα και σε συστήματα διαχείρισης εκπαιδευτικού περιεχομένου. University of Patras, Greece, 2020 - [j8]Nikos Fazakis, Georgios Kostopoulos, Sotiris Kotsiantis, Iosif Mporas:
Iterative Robust Semi-Supervised Missing Data Imputation. IEEE Access 8: 90555-90569 (2020) - [j7]Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis:
A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems. Algorithms 13(1): 26 (2020) - [j6]Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
An active learning ensemble method for regression tasks. Intell. Data Anal. 24(3): 607-623 (2020)
2010 – 2019
- 2019
- [j5]Georgios Kostopoulos, Sotiris Kotsiantis, Nikos Fazakis, Giannis Koutsonikos, Christos Pierrakeas:
A Semi-Supervised Regression Algorithm for Grade Prediction of Students in Distance Learning Courses. Int. J. Artif. Intell. Tools 28(4): 1940001:1-1940001:19 (2019) - [j4]Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis:
Multiview Learning for Early Prognosis of Academic Performance: A Case Study. IEEE Trans. Learn. Technol. 12(2): 212-224 (2019) - [c11]Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Self-trained eXtreme Gradient Boosting Trees. IISA 2019: 1-6 - [c10]Georgios Kostopoulos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Multi-objective Optimization of C4.5 Decision Tree for Predicting Student Academic Performance. IISA 2019: 1-4 - 2018
- [j3]George Kostopoulos, Sotiris Kotsiantis, Christos Pierrakeas, Giannis Koutsonikos, George A. Gravvanis:
Forecasting students' success in an open university. Int. J. Learn. Technol. 13(1): 26-43 (2018) - [j2]Georgios Kostopoulos, Ioannis E. Livieris, Sotiris B. Kotsiantis, Vassilis Tampakas:
CST-Voting: A semi-supervised ensemble method for classification problems. J. Intell. Fuzzy Syst. 35(1): 99-109 (2018) - [j1]Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Omiros Ragos:
Semi-supervised regression: A recent review. J. Intell. Fuzzy Syst. 35(2): 1483-1500 (2018) - [c9]Maria Tsiakmaki, Georgios Kostopoulos, Giannis Koutsonikos, Christos Pierrakeas, Sotiris Kotsiantis, Omiros Ragos:
Predicting University Students' Grades Based on Previous Academic Achievements. IISA 2018: 1-6 - 2017
- [c8]Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas:
Evaluating Active Learning Methods for Bankruptcy Prediction. BFAL 2017: 57-66 - [c7]Georgios Kostopoulos, Sotiris Kotsiantis, Vassilios S. Verykios:
A Prognosis of Junior High School Students' Performance Based on Active Learning Methods. BFAL 2017: 67-76 - [c6]Georgios Kostopoulos, Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis, George A. Gravvanis:
Predicting Student Performance in Distance Higher Education Using Active Learning. EANN 2017: 75-86 - [c5]Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas:
Using Active Learning Methods for Predicting Fraudulent Financial Statements. EANN 2017: 351-362 - [c4]Georgios Kostopoulos, Sotiris Kotsiantis, Omiros Ragos, Theodoula N. Grapsa:
Early dropout prediction in distance higher education using active learning. IISA 2017: 1-6 - [c3]Georgios Kostopoulos, Ioannis E. Livieris, Sotiris Kotsiantis, Vassilis Tampakas:
Enhancing high school students' performance based on semi-supervised methods. IISA 2017: 1-6 - 2015
- [c2]Georgios Kostopoulos, Sotiris B. Kotsiantis, Panagiotis E. Pintelas:
Predicting Student Performance in Distance Higher Education Using Semi-supervised Techniques. MEDI 2015: 259-270 - [c1]Georgios Kostopoulos, Sotiris B. Kotsiantis, Panagiotis E. Pintelas:
Estimating student dropout in distance higher education using semi-supervised techniques. Panhellenic Conference on Informatics 2015: 38-43
Coauthor Index
aka: Sotiris Kotsiantis
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