Georgios Kostopoulos

Orcid: 0000-0002-7374-0099

According to our database1, Georgios Kostopoulos authored at least 22 papers between 2015 and 2021.

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Bibliography

2021
Fuzzy-based active learning for predicting student academic performance using autoML: a step-wise approach.
J. Comput. High. Educ., 2021

Interpretable Models for Early Prediction of Certification in MOOCs: A Case Study on a MOOC for Smart City Professionals.
IEEE Access, 2021

2020
Ανάπτυξη πρωτότυπων αλγορίθμων μηχανικής μάθησης για χρήση σε εκπαιδευτικά δεδομένα και σε συστήματα διαχείρισης εκπαιδευτικού περιεχομένου
PhD thesis, 2020

An active learning ensemble method for regression tasks.
Intell. Data Anal., 2020

A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems.
Algorithms, 2020

Iterative Robust Semi-Supervised Missing Data Imputation.
IEEE Access, 2020

2019
Multiview Learning for Early Prognosis of Academic Performance: A Case Study.
IEEE Trans. Learn. Technol., 2019

A Semi-Supervised Regression Algorithm for Grade Prediction of Students in Distance Learning Courses.
Int. J. Artif. Intell. Tools, 2019

Multi-objective Optimization of C4.5 Decision Tree for Predicting Student Academic Performance.
Proceedings of the 10th International Conference on Information, 2019

Self-trained eXtreme Gradient Boosting Trees.
Proceedings of the 10th International Conference on Information, 2019

2018
CST-Voting: A semi-supervised ensemble method for classification problems.
J. Intell. Fuzzy Syst., 2018

Semi-supervised regression: A recent review.
J. Intell. Fuzzy Syst., 2018

Forecasting students' success in an open university.
Int. J. Learn. Technol., 2018

Predicting University Students' Grades Based on Previous Academic Achievements.
Proceedings of the 9th International Conference on Information, 2018

2017
Enhancing high school students' performance based on semi-supervised methods.
Proceedings of the 8th International Conference on Information, 2017

Early dropout prediction in distance higher education using active learning.
Proceedings of the 8th International Conference on Information, 2017

Predicting Student Performance in Distance Higher Education Using Active Learning.
Proceedings of the Engineering Applications of Neural Networks, 2017

Using Active Learning Methods for Predicting Fraudulent Financial Statements.
Proceedings of the Engineering Applications of Neural Networks, 2017

A Prognosis of Junior High School Students' Performance Based on Active Learning Methods.
Proceedings of the Brain Function Assessment in Learning - First International Conference, 2017

Evaluating Active Learning Methods for Bankruptcy Prediction.
Proceedings of the Brain Function Assessment in Learning - First International Conference, 2017

2015
Estimating student dropout in distance higher education using semi-supervised techniques.
Proceedings of the 19th Panhellenic Conference on Informatics, 2015

Predicting Student Performance in Distance Higher Education Using Semi-supervised Techniques.
Proceedings of the Model and Data Engineering - 5th International Conference, 2015


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