| Predicting Dropout in Higher Education Based on Secondary School Performance M Nagy, R Molontay 2018 IEEE 22nd International Conference on Intelligent Engineering Systems …, 2018 | 100 | 2018 |
| Interpretable Deep Learning for University Dropout Prediction M Baranyi, M Nagy, R Molontay Proceedings of the 21st Annual Conference on Information Technology …, 2020 | 66 | 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 | 52 | 2022 |
| Can professors buy better evaluation with lenient grading? The effect of grade inflation on student evaluation of teaching Z Berezvai, GD Lukáts, R Molontay Assessment & Evaluation in Higher Education 46 (5), 793-808, 2021 | 52 | 2021 |
| Two decades of network science: as seen through the co-authorship network of network scientists R Molontay, M Nagy Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 47 | 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 | 41 | 2021 |
| Dank or not? Analyzing and predicting the popularity of memes on Reddit K Barnes, T Riesenmy, MD Trinh, E Lleshi, N Balogh, R Molontay Applied Network Science 6 (1), 21, 2021 | 39 | 2021 |
| 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 | 32 | 2019 |
| Characterizing curriculum prerequisite networks by a student flow approach R Molontay, N Horváth, J Bergmann, D Szekrényes, M Szabó IEEE Transactions on Learning Technologies 13 (3), 491-501, 2020 | 30 | 2020 |
| 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 | 21 | 2022 |
| Student Dataset from Tecnologico de Monterrey in Mexico to Predict Dropout in Higher Education J Alvarado-Uribe, P Mejía-Almada, AL Masetto Herrera, R Molontay, ... Data 7 (9), 119, 2022 | 20 | 2022 |
| Interpretable dropout prediction: towards XAI-based personalized intervention M Nagy, R Molontay International Journal of Artificial Intelligence in Education 34 (2), 274-300, 2024 | 18 | 2024 |
| 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 | 17 | 2021 |
| Copula-based anomaly scoring and localization for large-scale, high-dimensional continuous data G Horváth, E Kovács, R Molontay, S Nováczki ACM Transactions on Intelligent Systems and Technology (TIST) 11 (3), 1-26, 2020 | 17 | 2020 |
| Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance B Séllei, N Stumphauser, R Molontay Applied Sciences 11 (4), 1744, 2021 | 16 | 2021 |
| Cross-correlation based clustering and dimension reduction of multivariate time series A Egri, I Horváth, F Kovács, R Molontay, K Varga 2017 IEEE 21st International Conference on Intelligent Engineering Systems …, 2017 | 15 | 2017 |
| Comparative Analysis of Box-Covering Algorithms for Fractal Networks PT Kovács, M Nagy, R Molontay Applied Network Science 6 (1), 1-37, 2021 | 14 | 2021 |
| Visualizing student flows to track retention and graduation rates DM Horváth, R Molontay, M Szabó 2018 22nd International Conference Information Visualisation (IV), 338-343, 2018 | 14 | 2018 |
| Comparing the effectiveness of two remedial mathematics courses using modern regression discontinuity techniques M Baranyi, R Molontay Interactive Learning Environments 29 (2), 247-269, 2021 | 12 | 2021 |
| Impact of the discovery of fluorous biphasic systems on chemistry: A statistical and network analysis B Barabás, O Fülöp, R Molontay, G Pályi ACS Sustainable Chemistry & Engineering 5 (9), 8108-8118, 2017 | 12 | 2017 |
Marcell NagyResearcher @ Budapest University of Technology and EconomicsVerified email at math.bme.hu
