Publications

Máté Baranyi, Marianna Bolla (2021). Iterated Conditional Expectation Algorithm on DAGs and Regression Graphs. Econometrics and Statistics.

Máté Baranyi, Roland Molontay (2021). Comparing the effectiveness of two remedial mathematics courses using modern regression discontinuity techniques. Interactive Learning Environments.

Marianna Bolla, Tamás Szabados, Máté Baranyi, Fatma Abdelkhalek (2021). Block circulant matrices and the spectra of multivariate stationary sequences. Special Matrices.

Máté Baranyi, Marcell Nagy, Roland Molontay (2020). Interpretable Deep Learning for University Dropout Prediction. Proceedings of the 21st Annual Conference on Information Technology Education.

Máté Baranyi, Kristóf Gál, Roland Molontay, Mihály Szabó (2019). Modeling Students' Academic Performance Using Bayesian Networks. 2019 17th International Conference on Emerging eLearning Technologies and Applications (ICETA).

Máté Baranyi, Roland Molontay (2019). Effect of Mathematics Remediation on Academic Achievement – A Regression Discontinuity Approach. 2019 International Symposium on Educational Technology (ISET).

Marianna Bolla, Fatma Abdelkhalek, Máté Baranyi (2019). Graphical Models, Regression Graphs, and Recursive Linear Regression in a Unified Way. Acta Scientiarum Mathematicarum.

Máté Baranyi (2018). Graphical Models and Some Related Algorithms.

Máté Baranyi (2016). The separator of a subset of a semigroup.