E-mail: przemyslaw.kazienko@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Departament of Artificial intelligence

Wybrzeże Wyspiańskiego 27, 50-370 Wrocław
building A-1, room 203 B
phone +48 71 320 3609

Office hours

• Wednesday 13.00-15.00

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Research fields

• data science; social networks and complex networks; machine learning; science about science.

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Recent papers

2017

• Jankowski J., Bródka P., Kazienko P., Szymanski B.K., Michalski R., Kajdanowicz T.: Balancing Speed and Coverage by Sequential Seeding in Complex Networks. Scientific Reports, 7:891, 2017.
• Morzy M., Kajdanowicz T., Kazienko P.: On Measuring the Complexity of Networks: Kolmogorov Complexity vs. Entropy. Complexity, 2017, Volume 2017, Art. ID 3250301, 12 pages.

2013

• Musiał K., Kazienko P.: Social Networks on the Internet. World Wide Web, 16(1), 2013, pp. 31-72.

2011

• Kazienko P., Musiał K., Kajdanowicz T.: Multidimensional Social Network in the Social Recommender System. IEEE Trans. on Systems, Man, and Cybernetics - Part A: Systems and Humans, 41(4), 2011, pp. 746-759.

2007

• Kazienko P., Adamski M.: AdROSA - Adaptive Personalization of Web Advertising. Information Sciences, 177(11), 2007, pp. 2269-2295.

Papers in DONA database

Homepage  

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Selected publications
1	Article 2025 Improving the quality of pulse rate variability derived from wearable devices using adaptive, spectrum and nonlinear filtering. Biomedical Signal Processing and Control. 2025, vol. 102, art. 107336, s. 1-12. ISSN: 1746-8094; 1746-8108 Resources:DOIURLSFX
2	Proceeding paper 2024 Wei Jie Yeo, Teddy Ferdinan, Ranjan Satapathy, Erik Cambria, Self-training large language models through knowledge detection. W: The 2024 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2024, November 12-16, 2024 / eds. Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen. Stroudsburg : Association for Computational Linguistics, cop. 2024. s. 15033-150451. ISBN: 979-8-89176-168-1 Resources:DOIURL
3	Article 2024 Kleanthis Avramidis, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Shrikanth Narayanan, Scaling representation learning from ubiquitous ECG with State-Space models. IEEE Journal of Biomedical and Health Informatics. 2024, vol. 28, nr 10, s. 5877-5889. ISSN: 2168-2208; 2168-2194 Resources:DOIURLSFX
4	Article 2024 Erik Cambria, Toward responsible recommender systems. IEEE Intelligent Systems. 2024, vol. 39, nr 3, s. 5-12. ISSN: 1541-1672; 1941-1294 Resources:DOIURLSFX
5	Article 2024 Mateusz Kochanek, Igor Cichecki, Oliwier Kaszyca, Dominika Szydło, Michał Madej, Dawid A Jędrzejewski, Improving training dataset balance with ChatGPT prompt engineering. Electronics. 2024, vol. 13, nr 12, art. 2255, s. 1-19. ISSN: 2079-9292 Resources:DOIURLSFX
6	Proceeding paper 2024 Joanna Komoszyńska, Dominika Kunc, Bartosz Perz, Adam Hebko, Designing and executing a large-scale real-life affective study. W: 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) : 11-15 March 2024, Biarritz, France. Danvers, MA : IEEE, cop. 2024. s. 505-510. ISBN: 979-8-3503-0436-7 Resources:DOIURL
7	Article 2024 Janusz A Hołyst, Philipp Mayr, Michael Thelwall, Ingo Frommholz, Shlomo Havlin, Alon Sela, Yoed N Kenett, Denis Helic, Aljoša Rehar, Sebastijan R Maček, Przemysław Biecek, Julian Sienkiewicz, Protect our environment from information overload. Nature Human Behaviour. 2024, vol. 8, s. 402-403. ISSN: 2397-3374 Resources:DOIURLSFX
8	Proceeding paper 2024 Maciej Dzieżyc, Evaluating the effectiveness of research grants with journal bibliometrics. W: Proceedings of the 13th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2nd, 2023 / eds. Ingo Frommholz [i in.]. RWTH : Aachen, 2024. s. 101-112. Resources:URLSFX
9	Article 2024 Maciej Behnke, Dominika Kunc, Ethical considerations and checklist for affective research with wearables. IEEE Transactions on Affective Computing. 2024, vol. 15, nr 1, s. 50-62. ISSN: 1949-3045 Resources:DOIURLSFX
10	Proceeding paper 2023 Konrad Karanowski, Julita Bielaniewicz, Marcin Gruza, PALS: Personalized Active Learning for Subjective Tasks in NLP. W: The 2023 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Conference : EMNLP 2023, December 6-10, 2023 / eds. Houda Bouamor, Juan Pino, Kalika Bali. Stroudsburg : Association for Computational Linguistics, cop. 2023. s. 13326-13341. ISBN: 979-8-89176-060-8 Resources:DOIURL

All publications