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Department of Artificial Intelligence
← ImpactAI Lab

Publications

Publications assigned to this group and public publications confirmed in the research records of its current members.

Publications: 465

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

    Bartosz Perz, Przemysław Kazienko

    ACIIDS 2025 · 2025

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

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

    2025

  3. A multi-stage LLM framework for generating realistic synthetic medical datasets

    Mikołaj Hołysz, Mateusz Bystroński, Grzegorz A Piotrowski, Grzegorz Chodak, Tomasz Kajdanowicz

    Association for Information Systems · 2025

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

    Dominika Kunc, Przemysław Kazienko, Stanisław Saganowski

    2025

  5. 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

  6. 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

  7. Artificial intelligence in e-commerce – overview of applications, benefits and challenges

    Grzegorz Chodak, Darius Zumstein

    Digital Management and Artificial Intelligence · 2025

  8. 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

  9. Large Language Models for analyzing e-commerce Web server logs

    Grzegorz Chodak, Grażyna Suchacka, Stefano Rovetta

    ECMS 2025 · 2025

  10. Enhancing AI face realism: cost-efficient quality improvement in distilled diffusion models with a fully synthetic dataset

    Jakub Wąsala, Bartłomiej Wrzalski, Kornelia Noculak, Yuliia Tarasenko, Oliwer Krupa, Jan Kocoń, Grzegorz Chodak

    ICCS 2025 · 2025

  11. Cyfrowy Marketing

    Grzegorz Chodak, Adam Dzidowski, Karolina Małagocka

    Polskie Wydawnictwo Ekonomiczne · 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. Large language models for search engine optimization in e-commerce

    Grzegorz Chodak, Klaudia Błażyczek

    13th International Conference, IACC 2023, Kolhapur, India, December 15-16, 2023. Revised Selected Papers. Pt I · 2024