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Department of Artificial Intelligence
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Publications

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

Publications: 435

  1. Challenges in biomedical signals monitoring using textile electrodes: A review

    Aleksandra D Kawala-Sterniuk, Roya Aghadavoud Marnani, Michał Podpora, Xuyuan Tao, Petr Bilik, Radek Martinek

    Computers and Electrical Engineering · 2026

  2. CytoDNNEnsemble: combining cell-level and distribution-level representations for flow-cytometry classification

    Urszula Markowska-Kaczmar, Tomasz Gniazdowski

    Scientific Reports 1-37 · 2026

  3. Performance and Efficiency Analysis of Classifiers for Sentiment and Emotion Detection

    Dawid Krutul, Maciej Wizerkaniuk, Dawid A Kopeć, Piotr Syga, Dawid T Wolkiewicz, Mariusz Pelc, Aleksandra D Kawala-Sterniuk, Mateusz Koryciński, Adrian Luckiewicz

    2026

  4. Unboxing the black box: a survey on mechanistic interpretability for algorithmic understanding of neural networks

    Bianka S. Kowalska, Halina Kwaśnicka

    Machine Learning · 2026

  5. From networks to circuits: a structured approach to AI interpretability

    Bianka S. Kowalska, Halina Kwaśnicka

    ICCCI 2025 · 2026

  6. Analysis of the cannabidiol effects in epilepsy treatment based on seizure characteristics in EEG recordings – a review

    Aleksandra D Kawala-Sterniuk, Marta Kopańska, Danuta Ochojska, Julia Trojniak, Dariusz Mikołajewski, Waldemar Karwowski, Amir Al-Bakri, Piotr Sterniuk, Jacek Szczygielski

    Epileptic Disorders · 2025

  7. Regression analysis of the vibroarthrogram in the external load conditions

    Aleksandra D Kawala-Sterniuk, Janusz Mroczka, Adam Łysiak, Dawid Bączkowicz, Dorota Borzucka, Mirosław Szmajda, Sebastian Brol, Michał Dołęgowski

    Advances in Science and Technology Research Journal · 2025

  8. Patent

    Aleksandra D Kawala-Sterniuk, Mariusz Pelc, Jarosław Zygarlicki, Dawid Bączkowski, Monika Blaszczyszyn, Adam Łysiak

    2025

  9. Multimodal Machine Learning Analysis of fNIRS Signals Using LSTM and KNN Models for Cognitive States and Brain Activation Patterns Prediction

    Tomasz Kajdanowicz, Mariusz Pelc, Aleksandra D Kawala-Sterniuk, Adrian Luckiewicz, Dariusz Mikołajewski, Radosław Roszczyk, Krzysztof Siwek, Piotr Sterniuk, Edward Jacek Gorzelanczyk

    ACIIDS 2025 · 2025

  10. Implementation of convolutional neural networks for the purpose of five types of white blood cells automatic counting

    Tomasz Kajdanowicz, Aleksandra D Kawala-Sterniuk, Grzegorz Drałus, Damian Mazur, Konrad Łukiewicz, Michał Podpora, Jacek Bartman, Henryk Racheniuk

    ICCS 2025 · 2025

  11. The impact of the COVID-19 pandemic on the development of telemedicine

    Ewa Małecka, Jakub Czajka, Aleksandra D Kawala-Sterniuk

    Sustainable Production, Instrumentation and Engineering Sciences · 2025

  12. Data domain adaptation for machine learning in negative emotion recognition from voice data

    Aleksandra D Kawala-Sterniuk, Anna Bryniarska, Piotr Schneider, Dariusz Mikołajewski, Magdalena Igras-Cybulska

    Progress in Polish Artificial Intelligence Research 6 · 2025

  13. Machine learning-based filtering system for fNIRS signals analysis purpose

    Mariusz Pelc, Aleksandra D Kawala-Sterniuk, Dariusz Mikołajewski, Adrian Luckiewicz, Adam Sudoł, Patryk Mendon, Edward Jacek Gorzelanczyk

    Technical Sciences · 2025

  14. Decision trees and machine learning for cybersecurity: how model settings affect attack detection

    Tomasz Kajdanowicz, Aleksandra D Kawala-Sterniuk, Konrad Łukiewicz, Michał Podpora, Grzegorz Drałus, Damian Mazur, Jakub Drałus

    ICCS 2025 · 2025

  15. Masticatory organ dysfunction recognition based on multimodal information

    Urszula Markowska-Kaczmar, Michał Wawrzyniak, Karol Szymończyk, Joanna I Szołomicka, Jakub Pyka, Karol Kulawiec, Michał Karolewski, Aneta Demidaś

    Engineering Applications of Artificial Intelligence · 2025

  16. Non-parametric spectral analysis of slow wave activity in resting-state EEG as a biomarker of dementia risk

    Mariusz Pelc, Katarzyna M Białas, Tomasz Kajdanowicz, Aleksandra D Kawala-Sterniuk, Waldemar Bauer

    25th IEEE International Conference on Data Mining Workshops, ICDMW 2025, 12-15 November 2025, Washington, DC, USA · 2025

  17. Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings

    Aleksandra D Kawala-Sterniuk, Amir Al-Bakri, Ahmed Tahseen Muslim, Moneer K Faraj, Wamedh Esam Matti, Radana Vilimkova Kahankova, Dariusz Mikołajewski, Waldemar Karwowski

    Frontiers in Neuroinformatics · 2025

  18. Decoding emotions from fNIRS: A survey on tensor-based approaches in affective computing and medical applications

    Aleksandra D. Kawala-Sterniuk, Maciej Piasecki, Ewa K Rudnicka, Mariusz Pelc, Michał Podpora, Dariusz Mikołajewski, Adrian Luckiewicz, Adam Sudoł

    Applied Sciences · 2025

  19. Advancements in Signal, Image and Video Processing : Select Proceedings of SPIN 2025, Volume 1

    Halina Kwaśnicka, Ashwani Kumar Dubey, Alvaro Rocha, Lyudmila Mihaylova

    Lecture Notes in Electrical Engineering · 2025

  20. Drawing attributions from evolved counterfactuals

    Jan F. Jakubik, Halina Kwaśnicka

    GECCO '24 Companion · 2024