Georgios Kostopoulos

According to our database, Georgios Kostopoulos authored at least 24 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Agentic AI in Education: State of the Art and Future Directions.

Georgios Kostopoulos, Vasileios Gkamas, Maria Rigou, Sotiris Kotsiantis

IEEE Access, 2025

2024

Optimizing Service Efficiency: Incoming Call Forecasting Utilizing Smart City Open Data - A Case Study.

Gregory Davrazos, George Raftopoulos, Georgios Kostopoulos, Sotiris Kotsiantis

Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024

2021

Fuzzy-based active learning for predicting student academic performance using autoML: a step-wise approach.

Maria Tsiakmaki, Georgios Kostopoulos, Sotiris Kotsiantis, Omiros Ragos

J. Comput. High. Educ., 2021

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

Georgios Kostopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Christos Pierrakeas, Achilles Kameas

IEEE Access, 2021

2020

Ανάπτυξη πρωτότυπων αλγορίθμων μηχανικής μάθησης για χρήση σε εκπαιδευτικά δεδομένα και σε συστήματα διαχείρισης εκπαιδευτικού περιεχομένου

Georgios Kostopoulos

PhD thesis, 2020

An active learning ensemble method for regression tasks.

Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Intell. Data Anal., 2020

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

Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis

Algorithms, 2020

Iterative Robust Semi-Supervised Missing Data Imputation.

Nikos Fazakis, Georgios Kostopoulos, Sotiris Kotsiantis, Iosif Mporas

IEEE Access, 2020

2019

Multiview Learning for Early Prognosis of Academic Performance: A Case Study.

Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis

IEEE Trans. Learn. Technol., 2019

A Semi-Supervised Regression Algorithm for Grade Prediction of Students in Distance Learning Courses.

Georgios Kostopoulos, Sotiris Kotsiantis, Nikos Fazakis, Giannis Koutsonikos, Christos Pierrakeas

Int. J. Artif. Intell. Tools, 2019

Multi-objective Optimization of C4.5 Decision Tree for Predicting Student Academic Performance.

Georgios Kostopoulos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the 10th International Conference on Information, 2019

Self-trained eXtreme Gradient Boosting Trees.

Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas

Proceedings of the 10th International Conference on Information, 2019

2018

CST-Voting: A semi-supervised ensemble method for classification problems.

Georgios Kostopoulos, Ioannis E. Livieris, Sotiris B. Kotsiantis, Vassilis Tampakas

J. Intell. Fuzzy Syst., 2018

Semi-supervised regression: A recent review.

Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Omiros Ragos

J. Intell. Fuzzy Syst., 2018

Forecasting students' success in an open university.

George Kostopoulos, Sotiris Kotsiantis, Christos Pierrakeas, Giannis Koutsonikos, George A. Gravvanis

Int. J. Learn. Technol., 2018

Predicting University Students' Grades Based on Previous Academic Achievements.

Maria Tsiakmaki, Georgios Kostopoulos, Giannis Koutsonikos, Christos Pierrakeas, Sotiris Kotsiantis, Omiros Ragos

Proceedings of the 9th International Conference on Information, 2018

2017

Enhancing high school students' performance based on semi-supervised methods.

Georgios Kostopoulos, Ioannis E. Livieris, Sotiris Kotsiantis, Vassilis Tampakas

Proceedings of the 8th International Conference on Information, 2017

Early dropout prediction in distance higher education using active learning.

Georgios Kostopoulos, Sotiris Kotsiantis, Omiros Ragos, Theodoula N. Grapsa

Proceedings of the 8th International Conference on Information, 2017

Predicting Student Performance in Distance Higher Education Using Active Learning.

Georgios Kostopoulos, Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis, George A. Gravvanis

Proceedings of the Engineering Applications of Neural Networks, 2017

Using Active Learning Methods for Predicting Fraudulent Financial Statements.

Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas

Proceedings of the Engineering Applications of Neural Networks, 2017

A Prognosis of Junior High School Students' Performance Based on Active Learning Methods.

Georgios Kostopoulos, Sotiris Kotsiantis, Vassilios S. Verykios

Proceedings of the Brain Function Assessment in Learning - First International Conference, 2017

Evaluating Active Learning Methods for Bankruptcy Prediction.

Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas

Proceedings of the Brain Function Assessment in Learning - First International Conference, 2017

2015

Estimating student dropout in distance higher education using semi-supervised techniques.

Georgios Kostopoulos, Sotiris B. Kotsiantis, Panagiotis E. Pintelas

Proceedings of the 19th Panhellenic Conference on Informatics, 2015

Predicting Student Performance in Distance Higher Education Using Semi-supervised Techniques.

Georgios Kostopoulos, Sotiris B. Kotsiantis, Panagiotis E. Pintelas

Proceedings of the Model and Data Engineering - 5th International Conference, 2015