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Faculty of Information and Communication Technology

Prof. Przemysław Kazienko, DSc, PhD, Eng

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

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

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

Office hours

  • Wednesday 13.00-15.00

Research fields

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

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  


Selected publications
1
Referat konferencyjny
2025
Aleksander P Szczęsny, Maciej M Markiewicz, Łukasz Radliński, Przemysław Kazienko,
Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering. W: Computational Science - ICCS 2025 : 25th International Conference, Singapore, Singapore, July 7-9, 2025 : Proceedings. Pt. 4 / eds. Michael H. Lees [i in.]. Cham : Springer Nature Switzerland AG, cop. 2025. s. 54-62. ISBN: 978-3-031-97634-6; 978-3-031-97635-3
Zasoby:DOIURLSFX
2
Referat konferencyjny
2025
Bartosz Perz, Przemysław Kazienko,
Personalization of affective state recognition from physiological signals: a review. W: Recent Challenges in Intelligent Information and Database Systems : 17th Asian Conference, ACIIDS 2025 : Kitakyushu, Japan, April 23-25, 2025 : Proceedings. Pt. 1 / eds. Ngoc Thanh Nguyen [i in.]. Singapore : Springer Nature Singapore, cop. 2025. s. 143-158. ISBN: 978-981-96-5880-0; 978-981-96-5881-7
Zasoby:DOIURLSFX
3
Referat konferencyjny
2025
Piotr J Matys, Jan K Eliasz, Konrad M Kiełczyński, Mikołaj Langner, Teddy Ferdinan, Jan Kocoń, Przemysław Kazienko,
AggTruth: contextual hallucination detection using aggregated attention scores in LLMs. W: Computational Science - ICCS 2025 Workshops : 25th International Conference, Singapore, Singapore, July 7-9, 2025 : Proceedings. Pt. 5 / eds. Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang. Cham : Springer Nature Switzerland AG, cop. 2025. s. 227-243. ISBN: 978-3-031-97569-1; 978-3-031-97570-7
Zasoby:DOIURLSFX
4
Referat konferencyjny
2025
Dominika Kunc, Przemysław Kazienko, Stanisław Saganowski,
Exploring real-life psychophysiological states with self-supervised learning. W: 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) : 17-21 March 2025, Washington D.C., USA. Danvers, MA : IEEE, cop. 2025. s. 610-611. ISBN: 979-8-3315-3553-7
Zasoby:DOIURL
5
Referat konferencyjny
2025
Stanisław J Woźniak, Jacek J Duszenko, Jan Kocoń, Przemysław Kazienko,
Improving LLM-Based recommender systems with user-controllable profiles. W: WWW Companion ’25 : Companion Proceedings of the ACM Web Conference 2025, Sydney, NSW, Australia, April 28 - May 2, 2025. New York, NY : ACM, cop. 2025. s. 2102-2111. ISBN: 979-8-4007-1331-6
Zasoby:URLOpen Access
6
Artykuł
2025
Monika Prucnal, Adam Polak, Przemysław Kazienko,
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
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
7
Artykuł
2025
Grzegorz Chodak, Dariusz Tworzydło, Aleksander P Szczęsny, Przemysław Kazienko, Oliwier Kaszyca, Kajetan Bilski, Marcin Ł Oleksy, Mateusz Kochanek, Dominika Szydło, Igor Cichecki, Kaja Matuszak, Wiktoria M Mieleszczenko-Kowszewicz, Ewa Dzięcioł, Przemysław Palacz, Tomasz Kajdanowicz, Maciej Piasecki, Jan Kocoń,
Typology of image crises using large language models: a novel approach to crisis classification. Journal of Contingencies and Crisis Management. 2025, vol. 33, nr 4, art. e70092, s. 1-20. ISSN: 1468-5973; 0966-0879
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSW
8
Referat konferencyjny
2024
Teddy Ferdinan, Jan Kocoń, Przemysław Kazienko,
Into the unknown: Self-learning Large Language Models. W: 24th IEEE International Conference on Data Mining Workshops, ICDMW 2024, 9 December 2024, Abu Dhabi, United Arab Emirates : proceedings / eds. Yi He [i in.]. Piscataway, NJ : Institute of Electrical and Electronics Engineers, cop. 2024. s. 423-432. ISBN: 979-8-3315-3063-1; 979-8-3315-3064-8
Zasoby:DOIURL
9
Referat konferencyjny
2024
Wei Jie Yeo, Teddy Ferdinan, Przemysław Kazienko, 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
Zasoby:DOIURLOpen Access
10
Referat konferencyjny
2024
Dominika Kunc, Joanna Komoszyńska, Stanisław Saganowski, Przemysław Kazienko, Karen S Quigley, Lisa Feldman Barrett,
Embracing subjectivity in affective research: naturalistic and controlled settings. W: 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 15 September 2024, Glasgow, United Kingdom. Danvers, MA : IEEE, cop. 2024. s. 176-180. ISBN: 979-8-3315-1646-8; 979-8-3315-1645-1
Zasoby:DOIURL
11
Referat konferencyjny
2024
Stanisław J Woźniak, Bartłomiej Koptyra, Arkadiusz Janz, Przemysław Kazienko, Jan Kocoń,
Personalized large language models. W: 24th IEEE International Conference on Data Mining Workshops, ICDMW 2024, 9 December 2024, Abu Dhabi, United Arab Emirates : proceedings / eds. Yi He [i in.]. Piscataway, NJ : Institute of Electrical and Electronics Engineers, cop. 2024. s. 511-520. ISBN: 979-8-3315-3063-1; 979-8-3315-3064-8
Zasoby:DOIURL

All publications

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