Find inspiration in OPI PIB experts’ scientific publications

We are committed to sharing the findings of our research to support scientists and specialists in understanding the crucial trends in science and technology. We hope that our publications inspire readers to make new discoveries and develop practical solutions.

Subject areas

Our publications focus on the following subject areas:

  • Information technology and telecommunications
    Research on the development of IT systems, data security, artificial intelligence, machine learning and human–technology interaction.
  • Social sciences
    Publications on innovation, the analysis of scientists and institutions, the sociology of science and the impact of science on economies.
  • Technological implementation
    We share our experiences in the design, development and maintenance of IT systems.

Open access 

  • We want our publications to be accessible to the public. The majority of our publications are available on an open-access basis.

Our latest publications

Discover our latest publications that advance scientific development.

List of publications

  • Two-Sample Median Test for Interval-Valued Data

    Przemysław Grzegorzewski, Martyna Śpiewak

    2021 W.: Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives : Selected Papers from BOS-2018, held on September 24-26, 2018, and IWIFSGN-2018, held on September 27-28, 2018 in Warsaw, Poland / Krassimir T. Atanassov, Vassia Atanassova, Janusz Kacprzyk, Andrzej Kaluszko, Maciej Krawczak, Jan W. Owsinski, Sotir Sotirov, Evdokia Sotirova, Eulalia Szmidt, Slawomir Zadrozny. Cham : Springer, s. 113-128.

    https://link.springer.com/chapter/10.1007/978-3-030-47024-1_13

  • UX in Virtual Reality. Qualitative Assessment Based on a Range of Applications

    Zbigniew Bohdanowicz, Jarosław Kowalski, Daniel Cnotkowski, Agata Kopacz, Cezary Biele

    2021 W: Digital Interaction and Machine Intelligence : Proceedings of MIDI’2020 – 8th Machine Intelligence and Digital Interaction Conference, December 9-10, 2020, Warsaw, Poland / red. Cezary Biele, Janusz Kacprzyk, Jan Owsiński, Andrzej Romanowski, Marcin Sikorski. – Cham : Springer. – s. 101-113

    https://link.springer.com/chapter/10.1007%2F978-3-030-74728-2_10

  • Visibility and attractiveness of Fritillaria (Liliaceae) flowers to potential pollinators

    Katarzyna Roguz, Laurence Hill, Sebastian Koethe, Klaus Lunau, Agata Roguz, Marcin Zych

    2021 Scientific Reports, T. 11, z. 1, Art. no 11006

    http://www.nature.com/articles/s41598-021-90140-7.pdf

  • VR Hackathon with Goethe Institute: Lessons Learned from Organizing a Transdisciplinary VR Hackathon

    Wiesław Kopeć, Krzysztof Kalinowski, Monika Kornacka, Kinga H. Skorupska, Julia Paluch, Anna Jaskulska, Grzegorz Pochwatko, Jakub Filip Możaryn, Paweł Kobyliński, Piotr Gago

    2021 W: CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems / Yoshifumi Kitamura, Aaron Quigley, Katherine Isbister, Takeo Igarashi. – New York : Association for Computing Machinery

    2021 CHI Conference on Human Factors in Computing Systems, Yokohama, 8-13.05.2021

    https://dl.acm.org/doi/abs/10.1145/3411763.3443432#sec-comments

  • What brings more meaning to a sentence: a noun or a verb? Improving text representation based on word embeddings by part-of-speech weighting

    Piotr Sobecki, Daniel Karaś, Martyna Śpiewak

    2021 W: Legal and technical aspects of artificial intelligence / red. Luigi Lai, Marek Świerczyński. – Warszawa : Uniwersytet Kardynała Stefana Wyszyńskiego w Warszawie. – s. 349-359

    https://opi.org.pl/opi_publication/what-brings-more-meaning-to-a-sentence-a-noun-or-a-verb-improving-text-representation-based-on-word-embeddings-by-part-of-speech-weighting/

  • 3D or not 3D? Evaluation of the effectiveness of 3D-enhanced warning messages for communication in crisis situations

    Grzegorz Banerski, Katarzyna Abramczuk, Cezary Biele

    2020 SAFETY SCIENCE, T. 132, s. 104961

    https://www.sciencedirect.com/science/article/pii/S0925753520303581?via%3Dihub#!

  • A Bidirectional Iterative Algorithm for Nested Named Entity Recognition

    Sławomir Dadas, Jarosław Protasiewicz

    2020 IEEE Access, T. 8, s. 135091 – 135102

    http://dx.doi.org/10.1109/access.2020.3011598

  • A Neural Network Toolbox for Electricity Consumption Forecasting

    Jarosław Protasiewicz

    2020 W: International Joint Conference on Neural Networks (IJCNN) / Imran Razzak, Pushpak Bhattacharyya, Antonella Santone, Xiuwen Liu, J. Parker Mitchell et all ; Piscataway: IEEE, s. 1-6

    2020 International Joint Conference on Neural Networks. Glasgow, 2020-07-19 – 2020-07-24

    http://xplorestaging.ieee.org/ielx7/9200848/9206590/09206996.pdf?arnumber=9206996

  • A neuro-fuzzy framework for spam filtering : a basic concept and preliminary experiments

    Jarosław Protasiewicz, Daniel Jankowski

    2020 W: Computational Intelligence, Information Technology and Systems Research / Małgorzata Charytanowicz, Paweł Kaczmarek, Adam Kiersztyn. Lublin : Politechnika Lubelska, 2020, s. 18-27

    http://bc.pollub.pl/dlibra/publication/13902/edition/13567/content?ref=desc

  • Academic entrepreneurship and the research productivity in Poland

    Marta Bojko, Anna Knapińska, Aldona Tomczyńska

    2020 Industry and Innovation, APR 2020, 1-21

    https://www.researchgate.net/publication/340705538_Academic_entrepreneurship_and_the_research_productivity_in_Poland