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Máté Baranyi
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Interpretable deep learning for university dropout prediction
M Baranyi, M Nagy, R Molontay
Proceedings of the 21st annual conference on information technology …, 2020
572020
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
122021
Graphical models, regression graphs, and recursive linear regression in a unified way
M Bolla, F Abdelkhalek, M Baranyi
Acta Scientiarum Mathematicarum 85 (12), 9-57, 2019
62019
Effect of mathematics remediation on academic achievement–a regression discontinuity approach
M Baranyi, R Molontay
2019 International symposium on educational technology (ISET), 29-33, 2019
42019
Iterated conditional expectation algorithm on DAGs and regression graphs
M Baranyi, M Bolla
Econometrics and Statistics 20, 131-152, 2021
22021
Modeling students’ academic performance using Bayesian networks
M Baranyi, K Gál, R Molontay, M Szabó
2019 17th international conference on emerging eLearning technologies and …, 2019
22019
Block circulant matrices and the spectra of multivariate stationary sequences
M Bolla, T Szabados, M Baranyi, F Abdelkhalek
Special Matrices 9 (1), 36-51, 2021
12021
Graphical models and some related algorithms
M Baranyi, M Bolla
Budapest University of Technology and Economics, 2018
12018
Causal Vector Autoregression Enhanced with Covariance and Order Selection
M Bolla, D Ye, H Wang, R Ma, V Frappier, W Thompson, C Donner, ...
Econometrics 11 (1), 7, 2023
2023
Some advances in multivariate statistical modeling
M Baranyi
2022
A novel dynamic Principal Component Analysis method, applied to ECG signals
M Baranyi, M Bolla, G Kocsisné Szilágyi
2021 55th Asilomar Conference on Signals, Systems, and Computers, 265-269, 2021
2021
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