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Marcell Nagy
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Predicting dropout in higher education based on secondary school performance
M Nagy, R Molontay
2018 IEEE 22nd international conference on intelligent engineering systems …, 2018
992018
Interpretable deep learning for university dropout prediction
M Baranyi, M Nagy, R Molontay
Proceedings of the 21st annual conference on information technology …, 2020
642020
EASY‐APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis
B Kui, J Pintér, R Molontay, M Nagy, N Farkas, N Gede, Á Vincze, J Bajor, ...
Clinical and translational medicine 12 (6), e842, 2022
502022
Two Decades of Network Science as seen through the co-authorship network of network scientists
R Molontay, M Nagy
2019 IEEE/ACM International Conference on Advances in Social Networks …, 2019
472019
Twenty years of network science: A bibliographic and co-authorship network analysis
R Molontay, M Nagy
Big Data and Social Media Analytics, 1-24, 2021
382021
Predicting dropout using high school and first-semester academic achievement measures
B Kiss, M Nagy, R Molontay, B Csabay
2019 17th international conference on emerging eLearning technologies and …, 2019
292019
Early prediction of acute necrotizing pancreatitis by artificial intelligence: A prospective cohort-analysis of 2387 cases
S Kiss, J Pintér, R Molontay, M Nagy, N Farkas, Z Sipos, P Fehérvári, ...
Scientific Reports 12 (1), 7827, 2022
212022
Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention
M Nagy, R Molontay
International Journal of Artificial Intelligence in Education, 1-27, 2023
172023
Comprehensive analysis of the predictive validity of the university entrance score in Hungary
M Nagy, R Molontay
Assessment & Evaluation in Higher Education 46 (8), 1235-1253, 2021
162021
Comparative Analysis of Box-Covering Algorithms for Fractal Networks
PT Kovács, M Nagy, R Molontay
Applied Network Science 6 (1), 1-37, 2021
122021
A Web Application for Predicting Academic Performance and Identifying the Contributing Factors
M Nagy, R Molontay, M Szabó
SEFI 47th Annual Conference, 1794-1806, 2019
112019
Network classification-based structural analysis of real networks and their model-generated counterparts
M Nagy, R Molontay
Network Science, 1-24, 2022
92022
On the Structural Properties of Social Networks and their Measurement-calibrated Synthetic Counterparts
M Nagy, R Molontay
2019 IEEE/ACM International Conference on Advances in Social Networks …, 2019
62019
Investigating the origins of fractality based on two novel fractal network models
E Zakar-Polyák, M Nagy, R Molontay
Complex Networks XIII: Proceedings of the 13th Conference on Complex …, 2023
52023
How to improve the predictive validity of a composite admission score? A case study from Hungary
R Molontay, M Nagy
Assessment & Evaluation in Higher Education, 1-19, 2022
52022
Data-driven analysis of fractality and other characteristics of complex networks
M Nagy
Budapest University of Technology and Economics, 2018
52018
Towards a better understanding of the characteristics of fractal networks
E Zakar-Polyák, M Nagy, R Molontay
Applied Network Science 8 (1), 17, 2023
32023
Functional Tissue Units in the Human Reference Atlas
S Bidanta, K Börner, BW Herr, M Nagy, KS Gustilo, R Bajema, L Maier, ...
bioRxiv, 2023
2023
Using Machine Learning Methods To Develop Person-Centered Models Predicting STEM Major Choice
M Nagy, J Main, R Molontay, A Griffith
Technological University Dublin, 2023
2023
Classification problems in network science and higher education
M Nagy
Budapest University of Technology and Economics, 2023
2023
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