| Predicting dropout in higher education based on secondary school performance M Nagy, R Molontay 2018 IEEE 22nd international conference on intelligent engineering systems …, 2018 | 105 | 2018 |
| Interpretable deep learning for university dropout prediction M Baranyi, M Nagy, R Molontay Proceedings of the 21st annual conference on information technology …, 2020 | 76 | 2020 |
| 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 | 62 | 2022 |
| 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 | 50 | 2019 |
| 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 | 43 | 2021 |
| Interpretable dropout prediction: towards XAI-based personalized intervention M Nagy, R Molontay International Journal of Artificial Intelligence in Education 34 (2), 274-300, 2024 | 42 | 2024 |
| 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 | 36 | 2019 |
| 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 | 23 | 2022 |
| 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 | 20 | 2021 |
| Comparative Analysis of Box-Covering Algorithms for Fractal Networks PT Kovács, M Nagy, R Molontay Applied Network Science 6 (1), 1-37, 2021 | 15 | 2021 |
| Network classification-based structural analysis of real networks and their model-generated counterparts M Nagy, R Molontay Network Science, 1-24, 2022 | 12 | 2022 |
| 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 | 12 | 2019 |
| 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 | 7 | 2019 |
| 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 | 6 | 2022 |
| Data-driven analysis of fractality and other characteristics of complex networks M Nagy Budapest University of Technology and Economics, 2018 | 6 | 2018 |
| 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 | 5 | 2023 |
| Towards a better understanding of the characteristics of fractal networks E Zakar-Polyák, M Nagy, R Molontay Applied Network Science 8 (1), 17, 2023 | 4 | 2023 |
| Functional Tissue Units in the Human Reference Atlas S Bidanta, K Börner, BW Herr, M Nagy, KS Gustilo, R Bajema, L Maier, ... bioRxiv, 2023 | 2 | 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 |
Roland MolontayBudapest University of Technology and EconomicsVerified email at math.bme.hu
