Email: 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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1	Proceeding paper 2023 Julita Bielaniewicz, Marcin Gruza, Konrad Karanowski, Przemysław Kazienko, Jan Kocoń, Deep-SHEEP: sense of humor extraction from embeddings in the personalized context. W: 22nd IEEE International Conference on Data Mining Workshops (ICDMW), 28 November - 1 December 2022, Orlando, Florida : proceedings / eds. K. Selçuk Candan [i in.]. Piscataway, NJ : Institute of Electrical and Electronics Engineers, cop. 2022. s. 967-974. ISBN: 979-8-3503-4609-1 Resources:DOIURL
2	Proceeding paper 2023 Stanisław Saganowski, Jan Miszczyk, Dominika Kunc, Dzmitry Lisouski, Przemysław Kazienko, Lessons learned from developing emotion recognition system for everyday life. W: SenSys '22 : Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, Boston, Massachusetts, November 6 - 9, 2022. New York, NY : Association for Computing Machinery, 2023 / ed. Jeremy Gummeson. s. 1047–1054. ISBN: 978-1-4503-9886-2 Resources:DOI
3	Article 2023 Przemysław Kazienko, Julita Bielaniewicz, Marcin Gruza, Konrad Karanowski, Jan Kocoń, Human-centered neural reasoning for subjective content processing: hate speech, emotions, and humor. Information Fusion. 2023, vol. 94, s. 43-65. ISSN: 1566-2535; 1872-6305 Resources:DOIURLSFX
4	Article 2022 Maciej Behnke, Stanisław Saganowski, Dominika Kunc, Przemysław Kazienko, Ethical considerations and checklist for affective research with wearables. IEEE Transactions on Affective Computing. 2022, s. 1-14. ISSN: 1949-3045 Resources:DOIURL
5	Proceeding paper 2022 Marcin Gruza, Przemysław Kazienko, Joanna I Szołomicka, Stanisław J Woźniak, Jan Kocoń, Multi-model analysis of language-agnostic sentiment classification on MultiEmo data. W: Computational Collective Intelligence : 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2022. s. 163-175. ISBN: 978-3-031-16013-4; 978-3-031-16014-1 Resources:DOIURLSFX
6	Article 2022 Adam Polak, Bartłomiej P Klich, Stanisław Saganowski, Monika Prucnal, Przemysław Kazienko, Processing photoplethysmograms recorded by smartwatches to improve the quality of derived pulse rate variability. Sensors. 2022, vol. 22, nr 18, art. 7047, s. 1-21. ISSN: 1424-8220 Resources:DOIURLSFX
7	Proceeding paper 2022 Marcin Gruza, Przemysław Kazienko, Joanna I Szołomicka, Stanisław J Woźniak, Jan Kocoń, MultiEmo: language-agnostic sentiment analysis. W: Computational Science - ICCS 2022 : 22nd International Conference London, UK, June 21-23, 2022 : proceedings. Pt. 2 / eds. Derek Groen [i in.]. Cham : Springer, cop. 2022. s. 72-79. ISBN: 978-3-031-08753-0; 978-3-031-08754-7 Resources:DOISFX
8	Proceeding paper 2022 Jan Kocoń, Joanna Baran, Marcin Gruza, Arkadiusz Janz, Michał Kajstura, Przemysław Kazienko, Wojciech Korczyński, Maciej Piasecki, Joanna I Szołomicka, Neuro-symbolic models for sentiment analysis. W: Computational Science - ICCS 2022 : 22nd International Conference London, UK, June 21-23, 2022 : proceedings. Pt. 2 / eds. Derek Groen [i in.]. Cham : Springer, cop. 2022. s. 667-681. ISBN: 978-3-031-08753-0; 978-3-031-08754-7 Resources:DOIURLSFX
9	Article 2022 Radosław Michalski, Damian Serwata, Mateusz Nurek, Przemysław Kazienko, Tao Jia, Temporal network epistemology: on reaching consensus in a real-world setting. Chaos. 2022, vol. 32, nr 6, art. 063135, s. 1-12. ISSN: 1054-1500; 1089-7682 Resources:DOISFX
10	Proceeding paper 2022 Marcin Gruza, Konrad Karanowski, Julita Bielaniewicz, Jan Kocoń, Przemysław Kazienko, What if ground truth is subjective? Personalized deep neural hate speech detection. W: LREC 2022 : Workshop Language Resources and Evaluation Conference : 20th June 2022, 1st Workshop on Perspectivist Approaches to NLP (NLPerspectives) : proceedings / eds. Gavin Abercrombie [i in.]. Paris : European Language Resources Association, cop. 2022. s. 37-45. ISBN: 979-10-95546-98-6 Resources:URL