msc-drozdz/bibliography.bib

% here the bibliographic entry for the paper itself should be given,
% used for generating declarations

@misc{Mazowieckiego2022Mar,
	author = {Mazowieckiego, Biblioteka Publiczna m. {\relax st}. Warszawy- Biblioteka Glowna {\relax Woj}.},
	title = {{Mazowiecka Biblioteka Cyfrowa - Strona g{\l}{\ifmmode\acute{o}\else\'{o}\fi}wna}},
	year = {2022},
	month = {Mar},
	publisher = {Biblioteka Publiczna m.st. Warszawy - Biblioteka Glowna Woj. Mazowieckiego},
	note = {[Online; accessed 31. Mar. 2022]},
	url = {http://mbc.cyfrowemazowsze.pl/dlibra}
}

@article{pandey2014digitization,
  title={Digitization of library materials in academic libraries: Issues and challenges},
  author={Pandey, Prabhat and Misra, Roli},
  journal={Journal of industrial and intelligent information},
  volume={2},
  number={2},
  year={2014},
  publisher={Citeseer}
}

@article{paliiits,
  title={IIITs Libraries Moving towards Digitalization: A study of IIIT Allahabad and IIIT \& M Gwalior Libraries},
  author={Pal, Amit Kumar and Saini, Surbhi and Jain, Pragati}
}

@incollection{xu2012importance,
  title={Importance and Challenges of Digital Construction for Academic Library},
  author={Xu, Mingfeng},
  booktitle={Knowledge Discovery and Data Mining},
  pages={533--537},
  year={2012},
  publisher={Springer}
}

@article{bivscandigitalization,
  title={DIGITALIZATION OF OLD NEWSPAPERS},
  author={Bi{\v{s}}{\'c}an, Frida},
  journal={JUNI NA UNI},
  pages={119}
}

@inproceedings{amollo2011digitization,
  title={Digitization for libraries in Kenya},
  author={Amollo, Beatrice Adera},
  booktitle={2nd International Conference on African Digital Libraries and Archives (ICADLA-2), University of Witwatersrand, Johannesburg, South Africa},
  pages={14--18},
  year={2011}
}

@article{Fabunmi2009Feb,
	author = {Fabunmi, Beatrice Ayodeji and Paris, Matthew and Fabunmi, Martins},
	title = {{Digitization of Library Resources: Challenges and Implications For Policy and Planning}},
	journal = {International Journal of African {\&} African- American Studies},
	volume = {5},
	number = {2},
	year = {2009},
	month = {Feb},
	url = {https://ojcs.siue.edu/ojs/index.php/ijaaas/article/view/80}
}

@article{digitalizacja,
    title = {The Migration from Paper to Digital: Why Digitization Remains Elusive},
	year = {2019},
	month = {Dec},
	note = {[Online; accessed 27. Mar. 2022]},
	url = {https://www.alarisworld.com/-/media/files/im/insights/articles/2020/idc-paperfree-wp-dec-2019.pdf},
	author = {Allison Correia and Robert Palmer},
}

@misc{nosnik-danych,
	title = {Jak zmienia{\l}y si{\k{e}} no{\ifmmode\acute{s}\else\'{s}\fi}niki danych na przestrzeni lat},
	journal = {PCElite},
	year = {2016},
	month = {Sep},
	note = {[Online; accessed 27. Mar. 2022]},
	url = {https://pcelite.pl/jak-zmienialy-sie-nosniki-danych-na-przestrzeni-lat}
}

@article{Lopatin2006Apr,
	author = {Lopatin, Laurie},
	title = {{Library digitization projects, issues and guidelines: A survey of the literature}},
	journal = {Library Hi Tech},
	year = {2006},
	month = {Apr},
	publisher = {Emerald Group Publishing Limited},
	doi = {10.1108/07378830610669637}
}

@InProceedings{this-paper,
author="MSc Title",
title="Alex Drożdż",
year=2021
}

@inproceedings{gralinski-etal-2019-geval,
    title = "{GE}val: Tool for Debugging {NLP} Datasets and Models",
    author = "Grali{\'n}ski, Filip  and
      Wr{\'o}blewska, Anna  and
      Stanis{\l}awek, Tomasz  and
      Grabowski, Kamil  and
      G{\'o}recki, Tomasz",
    booktitle = "Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W19-4826",
    pages = "254--262",
    abstract = "This paper presents a simple but general and effective method to debug the output of machine learning (ML) supervised models, including neural networks. The algorithm looks for features that lower the evaluation metric in such a way that it cannot be ascribed to chance (as measured by their p-values). Using this method {--} implemented as MLEval tool {--} you can find: (1) anomalies in test sets, (2) issues in preprocessing, (3) problems in the ML model itself. It can give you an insight into what can be improved in the datasets and/or the model. The same method can be used to compare ML models or different versions of the same model. We present the tool, the theory behind it and use cases for text-based models of various types.",
}

@incollection {gonito2016,
	title = {Gonito.net -- Open Platform for Research Competition, Cooperation and Reproducibility},
	author = "Grali{\'n}ski, Filip and Jaworski, Rafa{\l} and Borchmann, {\L}ukasz and Wierzcho{\'n}, Piotr",
	editor = "Branco, António and Calzolari , Nicoletta and Choukri, Khalid",
	booktitle = {Proceedings of the 4REAL Workshop: Workshop on Research Results Reproducibility and Resources Citation in Science and Technology of Language},
	year = "2016",
	pages = "13-20"
}