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Publikacje

Publikacje przypisane do grupy oraz publiczne publikacje potwierdzone w dorobku jej obecnych członków.

Liczba publikacji: 383

  1. AggTruth: contextual hallucination detection using aggregated attention scores in LLMs

    Piotr J. Matys, Jan K Eliasz, Konrad M Kiełczyński, Mikołaj Langner, Teddy Ferdinan, Jan Kocoń, Przemysław Kazienko

    ICCS 2025 · 2025

  2. Unraveling SITT: Social Influence Technique Taxonomy and Detection with LLMs

    Wiktoria M. Mieleszczenko-Kowszewicz, Beata Bajcar, Aleksander P Szczęsny, Maciej M Markiewicz, Jolanta Babiak, Przemysław Kazienko, Berenika Dyczek

    2025

  3. Personalization of affective state recognition from physiological signals: a review

    Bartosz Perz, Przemysław Kazienko

    ACIIDS 2025 · 2025

  4. Improving LLM-Based Recommender Systems with User-Controllable Profiles

    Stanisław J. Woźniak, Jacek J Duszenko, Jan Kocoń, Przemysław Kazienko

    2025

  5. Exploring real-life psychophysiological states with self-supervised learning

    Dominika Kunc, Przemysław Kazienko, Stanisław Saganowski

    2025

  6. Methods for personalized affect recognition from physiological signals in real life

    Bartosz Perz

    2025

  7. Improving the quality of pulse rate variability derived from wearable devices using adaptive, spectrum and nonlinear filtering

    Monika Prucnal, Adam Polak, Przemysław Kazienko

    Biomedical Signal Processing and Control · 2025

  8. Does the heart show your pain? Tackling the X-ITE pain challenge with self-supervised ECG representation learning

    Dominika Kunc, Przemysław Kazienko, Stanisław Saganowski

    2025 13th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 11 October 2025, Canberra, Australia · 2025

  9. Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience

    Bartosz Perz, Stanisław Saganowski, Nicholas A. Coles

    Royal Society Open Science · 2025

  10. Architectural concepts for integrating fundamental drives and emotions into artificial intelligence

    Teddy Ferdinan, Wiktoria M Mieleszczenko-Kowszewicz, Jan Kocoń, Przemysław Kazienko

    IEEE Intelligent Systems · 2025

  11. PPG-to-ECG signal translation using wearable data in affective computing

    Joanna Komoszyńska, Stanisław Saganowski

    2025

  12. Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering

    Aleksander P. Szczęsny, Maciej M Markiewicz, Łukasz Radliński, Przemysław Kazienko

    ICCS 2025 · 2025

  13. Designing and executing a large-scale real-life affective study

    Joanna Komoszyńska, Dominika Kunc, Bartosz Perz, Adam Hebko, Przemysław Kazienko, Stanisław Saganowski

    2024

  14. Protect our environment from information overload

    Przemysław Kazienko, Tomasz Kajdanowicz, Bolesław Szymański, 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

    Nature Human Behaviour · 2024

  15. Ethical considerations and checklist for affective research with wearables

    Maciej Behnke, Stanisław Saganowski, Dominika Kunc, Przemysław Kazienko

    IEEE Transactions on Affective Computing · 2024

  16. Embracing subjectivity in affective research: naturalistic and controlled settings

    Dominika Kunc, Joanna Komoszyńska, Stanisław Saganowski, Przemysław Kazienko, Karen S Quigley, Lisa Feldman Barrett

    2024

  17. Evaluating the effectiveness of research grants with journal bibliometrics

    Marcin Ł. Oleksy, Przemysław Kazienko, Maciej Dzieżyc

    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 · 2024

  18. Improving training dataset balance with ChatGPT prompt engineering

    Mateusz Kochanek, Igor Cichecki, Oliwier Kaszyca, Dominika Szydło, Michał Madej, Dawid A Jędrzejewski, Przemysław Kazienko, Jan Kocoń

    Electronics · 2024

  19. Self-training large language models through knowledge detection

    Teddy Ferdinan, Przemysław Kazienko, Wei Jie Yeo, Ranjan Satapathy, Erik Cambria

    EMNLP 2024 · 2024

  20. Personalized large language models

    Stanisław J. Woźniak, Bartłomiej Koptyra, Arkadiusz Janz, Przemysław Kazienko, Jan Kocoń

    24th IEEE International Conference on Data Mining Workshops, ICDMW 2024, 9 December 2024, Abu Dhabi, United Arab Emirates · 2024