Interpretable deep learning for university dropout prediction M Baranyi, M Nagy, R Molontay Proceedings of the 21st annual conference on information technology …, 2020 | 61 | 2020 |

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 |

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 | 7 | 2019 |

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 | 4 | 2019 |

Iterated conditional expectation algorithm on DAGs and regression graphs M Baranyi, M Bolla Econometrics and Statistics 20, 131-152, 2021 | 3 | 2021 |

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 | 3 | 2019 |

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 | 1 | 2021 |

Graphical models and some related algorithms M Baranyi, M Bolla Budapest University of Technology and Economics, 2018 | 1 | 2018 |

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 |

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 |

Some Advances in Multivariate Statistical Modeling M Baranyi, M Bolla | | |