Interpretable Deep Learning for University Dropout Prediction M Baranyi, M Nagy, R Molontay Proceedings of the 21st Annual Conference on Information Technology …, 2020 | 6 | 2020 |

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 |

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 | 4 | 2019 |

Iterated conditional expectation algorithm on DAGs and regression graphs M Baranyi, M Bolla Econometrics and Statistics 20, 131-152, 2021 | 3 | 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 | 2 | 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 | 1 | 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 | | 2021 |

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