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 2024 Kleanthis Avramidis, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Przemysław Kazienko, Stanisław Saganowski, Shrikanth Narayanan, Scaling representation learning from ubiquitous ECG with State-Space models. IEEE Journal of Biomedical and Health Informatics. 2024, s. 1-12. ISSN: 2168-2208; 2168-2194 Resources:DOIURL
2	Article 2024 Przemysław Kazienko, Erik Cambria, Toward responsible recommender systems. IEEE Intelligent Systems. 2024, vol. 39, nr 3, s. 5-12. ISSN: 1541-1672; 1941-1294 Resources:DOIURLSFX
3	Article 2024 Mateusz Kochanek, Igor Cichecki, Oliwier Kaszyca, Dominika Szydło, Michał Madej, Dawid A Jędrzejewski, Przemysław Kazienko, Jan Kocoń, Improving training dataset balance with ChatGPT prompt engineering. Electronics. 2024, vol. 13, nr 12, art. 2255, s. 1-19. ISSN: 2079-9292 Resources:DOIURLSFX
4	Proceeding paper 2024 Joanna Komoszyńska, Dominika Kunc, Bartosz Perz, Adam Hebko, Przemysław Kazienko, Stanisław Saganowski, 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
5	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 Kazienko, Tomasz Kajdanowicz, Przemysław Biecek, Julian Sienkiewicz, Protect our environment from information overload. Nature Human Behaviour. 2024, vol. 8, s. 402-403. ISSN: 2397-3374 Resources:DOIURLSFX
6	Proceeding paper 2024 Marcin Oleksy, Przemysław Kazienko, 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
7	Article 2024 Maciej Behnke, Stanisław Saganowski, Dominika Kunc, Przemysław Kazienko, 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
8	Proceeding paper 2023 Konrad Karanowski, Julita Bielaniewicz, Marcin Gruza, Jan Kocoń, Przemysław Kazienko, 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
9	Proceeding paper 2023 Chang Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Xingjian Du, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Jiaju Lin, Przemysław Kazienko, Jan Kocoń, Jiaming Kong, Bartłomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Bolun Wang, Johan S Wind, Stanisław J Woźniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu, RWKV: Reinventing RNNs for the Transformer Era. W: The 2023 Conference on Empirical Methods in Natural Language Processing Findings of the Association for Computational Linguistics: EMNLP 2023 December 6-10, 2023 / eds. Houda Bouamor, Juan Pino, Kalika Bali. Stroudsburg : Association for Computational Linguistics, cop. 2023. s. 14048-14077. ISBN: 979-8-89176-061-5 Resources:DOIURL
10	Proceeding paper 2023 Konrad Karanowski, Patryk E Wielopolski, Jan Kocoń, Przemysław Kazienko, Maciej Zięba, Modeling uncertainty in personalized emotion prediction with normalizing flows. W: 23nd IEEE International Conference on Data Mining Workshops (ICDMW), 1–4 December 2023 Shanghai, China : proceedings / eds. Jihe Wang [i in.]. Piscataway, NJ : Institute of Electrical and Electronics Engineers, cop. 2023. s. 757-766. ISBN: 979-8-3503-8164-1; 979-8-3503-8165-8 Resources:DOIURL

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