E-mail: marcin.pietranik@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Computer Science and Systems Engineering

Unit: Faculty of Information and Communication Technology (N) » Department of Applied Informatics

Wybrzeże Wyspiańskiego 27, 50-370 Wrocław
building A-1, room 203 G
phone +48 71 320 3258

Office hours

• Monday 15.00-17.00
• Thursday 14.00–16.00

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Research fields

• knowledge integration; ontologies and ontology alignment; consensus theory; collective intelligence; web technologies.

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Recent papers

2017

• Kozierkiewicz-Hetmańska A., Pietranik M.M., The knowledge increase estimation framework for ontology integration on the concept level. Journal of Intelligent & Fuzzy Systems. 2017, vol. 32, nr 2, s. 1161-1172.
• Kozierkiewicz-Hetmańska A., Pietranik M.M., The knowledge increase estimation framework for ontology integration on the relation level. W: Computational Collective Intelligence : 9th International Conference, ICCCI 2017, Nicosia, Cyprus, September 27-29, 2017 : proceedings. Pt. 1 / Ngoc Thanh Nguyen [i 5 in.] (Eds.). Cham : Springer, cop. 2017. s. 44-53. (Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, ISSN 0302-9743; vol. 10448)
• Kozierkiewicz-Hetmańska A., Pietranik M.M., Hnatkowska B., Knowledge increase estimation framework for ontology integration on the instance level. W: Intelligent Information and Database Systems : 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017 : proceedings. Pt. 1 / Nguyen Ngoc Thanh [i in.] (Eds.). Cham : Springer, cop. 2017. s. 3-12. (Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, ISSN 0302-9743; vol. 10191)

2016

• Orłowski C., Kapłański P., Nguyen N.T., Pietranik M.M., The use of an ontotrigger for designing the ontology of a model maturity capsule. International Journal of Software Engineering and Knowledge Engineering. 2016, vol. 26, nr 5, s. 715-731.

2014

• Pietranik M.M., Nguyen N.T., A multi-attribute based framework for ontology aligning. Neurocomputing. 2014, vol. 146, s. 276-290.

Papers in DONA database

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Selected publications
1	Referat konferencyjny 2026 Marcin Kawalerowicz Marcin M Pietranik Krzysztof A Stępniak LLMS as code review agents: a rapid review and experimental evaluation with human expert judges. W: Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025 : proceedings. Pt. 1 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer Nature Switzerland AG, cop. 2026. s. 346-360. ISBN: 978-3-032-09317-2; 978-3-032-09318-9 Zasoby:DOIURLSFX
2	Referat konferencyjny 2026 Marcin Kawalerowicz Marcin M Pietranik A systematic approach to measuring developer productivity: the Prismetrix method. W: Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025 : proceedings. Pt. 1 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer Nature Switzerland AG, cop. 2026. s. 331-345. ISBN: 978-3-032-09317-2; 978-3-032-09318-9 Zasoby:DOIURLSFX
3	Artykuł 2025 Jose F Ribeiro Bezerra, Adrianna Kozierkiewicz, Marcin M Pietranik, A novel approach for tweet similarity in a context-aware fake news detection model. IEEE Access. 2025, vol. 13, s. 57043-57061. ISSN: 2169-3536 Zasoby:DOIURLSFX
4	Artykuł 2025 Bogumiła Hnatkowska, Adrianna Kozierkiewicz, Marcin M Pietranik, Formal transformation of OWL ontology to a FOKI generic meta-model. Computer Science and Information Systems. 2025, vol. 22, nr 1, s. 105-131. ISSN: 1820-0214 Zasoby:DOISFX
5	Referat konferencyjny 2024 Karol J Kiciński, Marcin M Pietranik, Adrianna Kozierkiewicz, A new method of detecting Alzheimer’s disease. W: Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings : part II / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2024. s. 305-318. ISBN: 978-3-031-70818-3; 978-3-031-70819-0 Zasoby:DOIURLSFX
6	Referat konferencyjny 2024 Bartosz Brejna, Marcin M Pietranik, Adrianna Kozierkiewicz, The new K-Means initialization method. W: Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings : part I / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2024. s. 372-381. ISBN: 978-3-031-70815-2; 978-3-031-70816-9 Zasoby:DOIURLSFX
7	Monografia 2024 Marcin M Pietranik, Formal methods for managing and processing ontology alignments. Boca Raton: CRC Press/Taylor & Francis Group, cop. 2024. 209 s. ISBN: 978-1-003-43788-8 Zasoby:DOIURL
8	Referat konferencyjny 2024 Adrianna Kozierkiewicz, Marcin M Pietranik, Aleksandra Stawarz, Ensemble learning approach to fake news detection problem. W: Emerging Challenges in Intelligent Management Information Systems : Proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 : workshop / eds. Marcin Hernes, Jarosław Wątróbski. Cham : Springer, cop. 2024. s. 15-26. ISBN: 978-3-031-66760-2; 978-3-031-66761-9 Zasoby:DOIURLSFX
9	Referat konferencyjny 2023 Patient Zihisire Muke, Adrianna Kozierkiewicz, Marcin M Pietranik, Investigation and prediction of cognitive load during memory and arithmetic tasks. W: Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2023. s. 832-845. ISBN: 978-3-031-41455-8; 978-3-031-41456-5 Zasoby:DOISFX
10	Referat konferencyjny 2023 Adrianna Kozierkiewicz, Marcin M Pietranik, Wojciech Jankowiak, Fuzzy logic framework for ontology concepts alignment. W: Intelligent Information and Database Systems 15th Asian Conference, ACIIDS 2023 : Phuket, Thailand, July 24-26, 2023 : Proceedings, Pt. 2 / ed. Ngoc Thanh Nguyen [i in.]. Singapore : Springer, cop. 2023. s. 170-182. ISBN: 978-981-99-5836-8; 978-981-99-5837-5 Zasoby:DOISFX
11	Referat konferencyjny 2023 Jose F Ribeiro Bezerra, Marcin M Pietranik, Thanh Thuy Nguyen, Adrianna Kozierkiewicz, A new topic modeling method for tweets comparison. W: Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2023. s. 326-336. ISBN: 978-3-031-41455-8; 978-3-031-41456-5 Zasoby:DOISFX
12	Artykuł 2023 Martin Schieck, Philippe Krajsic, Felix Loos, Abdulbaree Hussein, Bogdan Franczyk, Adrianna Kozierkiewicz, Marcin M Pietranik, Comparison of deep learning methods for grapevine growth stage recognition. Computers and Electronics in Agriculture. 2023, vol. 211, art. 107944, s. 1-9. ISSN: 0168-1699; 1872-7107 Zasoby:DOIURLSFX

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