Cite us
=======

These are articles that you can use to cite us or make a reference to us:


@misc{BAMT,
  author={BAMT},
  title = {Repository experiments and data},
  year = {2021},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/ITMO-NSS-team/BAMT.git}},
  url = {https://github.com/ITMO-NSS-team/BAMT.git}
}

@article{deeva2023advanced,
  title={Advanced Approach for Distributions Parameters Learning in Bayesian Networks with Gaussian Mixture Models and Discriminative Models},
  author={Deeva, Irina and Bubnova, Anna and Kalyuzhnaya, Anna V},
  journal={Mathematics},
  volume={11},
  number={2},
  pages={343},
  year={2023},
  publisher={MDPI}
}

@inproceedings{deeva2021oil,
  title={Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks},
  author={Deeva, Irina and Bubnova, Anna and Andriushchenko, Petr and Voskresenskiy, Anton and Bukhanov, Nikita and Nikitin, Nikolay O and Kalyuzhnaya, Anna V},
  booktitle={Computational Science--ICCS 2021: 21st International Conference, Krakow, Poland, June 16--18, 2021, Proceedings, Part I},
  pages={394--407},
  year={2021},
  organization={Springer}
}



@article{bubnova2021mixbn,
  title={MIxBN: Library for learning Bayesian networks from mixed data},
  author={Bubnova, Anna V and Deeva, Irina and Kalyuzhnaya, Anna V},
  journal={Procedia Computer Science},
  volume={193},
  pages={494--503},
  year={2021},
  publisher={Elsevier}
}



@inproceedings{deeva2020bayesian,
  title={Bayesian Networks-based personal data synthesis},
  author={Deeva, Irina and Andriushchenko, Petr D and Kalyuzhnaya, Anna V and Boukhanovsky, Alexander V},
  booktitle={Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good},
  pages={6--11},
  year={2020}
}

@article{kaminsky2022bigbravebn,
  title={BigBraveBN: algorithm of structural learning for bayesian networks with a large number of nodes},
  author={Kaminsky, Yury and Deeva, Irina},
  journal={Procedia Computer Science},
  volume={212},
  pages={191--200},
  year={2022},
  publisher={Elsevier}
}