| 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:URL |  |
|
| 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:DOIURLSFX |     |
|
| 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:DOIURLSFX |    |
|
| 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:DOIURL |  |
|
| 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 | |
|