Roland Molontay
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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
Interpretable Deep Learning for University Dropout Prediction
M Baranyi, M Nagy, R Molontay
Proceedings of the 21st Annual Conference on Information Technology …, 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
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
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
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
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
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
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
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
Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention
M Nagy, R Molontay
International Journal of Artificial Intelligence in Education, 1-27, 2023
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
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
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
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
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
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
Comparative Analysis of Box-Covering Algorithms for Fractal Networks
PT Kovács, M Nagy, R Molontay
Applied Network Science 6 (1), 1-37, 2021
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
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
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