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Publikacje

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

Liczba publikacji: 48

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

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

    ACIIDS 2025 · 2025

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

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

    ICCS 2025 · 2025

  3. 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

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

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

    Progress in Polish Artificial Intelligence Research 6 · 2025

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

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

    Technical Sciences · 2025

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

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

    ICCS 2025 · 2025

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

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

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

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

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

    Frontiers in Neuroinformatics · 2025

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

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

    Applied Sciences · 2025

  10. Image-based soundtrack generation with diffusion model

    Dawid T. Wolkiewicz, Piotr Syga

    Proceedings of the 5th Polish Conference on Artificial Intelligence (PP-RAI’2024) · 2024

  11. Digital twins generated by artificial intelligence in personalized healthcare

    Marian Łukaniszyn, Łukasz Majka, Barbara Grochowicz, Dariusz Mikołajewski, Aleksandra D Kawala-Sterniuk

    Applied Sciences · 2024

  12. Large language models for data extraction in slot-filling tasks

    Marek Bazan, Tomasz Gniazdowski, Dawid T Wolkiewicz, Juliusz Sarna, Maciej E Marchwiany

    System Dependability - Theory and Applications · 2024

  13. Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes

    Maria Myslicka, Aleksandra D Kawala-Sterniuk, Anna Bryniarska, Adam Sudoł, Michał Podpora, Rafal Gasz, Radek Martinek, Radana Vilimkova Kahankova, Dominik Vilimek, Mariusz Pelc, Dariusz Mikołajewski

    Archives of Dermatological Research · 2024

  14. Initial study on an expert system for spine diseases screening using inertial measurement unit

    Mariusz Pelc, Radana Kahánková, Monika Błaszczyszyn, Dariusz Mikołajewski, Mariusz Konieczny, Volodymir Khoma, Gregor Bara, Jarosław Zygarlicki, Radek Martínek, Munish Kumar Gupta, Edward Jacek Gorzelańczyk, Mateusz Pawłowski, Bogdan Czapiga, Małgorzata Zygarlicka, Aleksandra Kawala‐Sterniuk

    Scientific Reports · 2023

  15. Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction

    Katerina Barnova, Martina Mikolasova, Radana Vilimkova Kahankova, Rene Jaros, Aleksandra D Kawala-Sterniuk, Václav Snášel, Seyedali Mirjalili, Mariusz Pelc, Radek Martinek

    Computers in Biology and Medicine · 2023

  16. Patent

    Aleksandra D Kawala-Sterniuk, Mariusz Pelc, Jarosław Zygarlicki, Natalia Browarska

    2022

  17. Multifunctional modified chitosan biopolymers for dual applications in biomedical and industrial field: Synthesis and evaluation of thermal, chemical, morphological, structural, in vitro drug-release rate, swelling and metal uptake studies

    Lalita Chopra, Jasgurpreet Singh Chohan, Shubham Sharma, Mariusz Pelc, Aleksandra D Kawala-Sterniuk

    Sensors · 2022

  18. Editorial: Currents in biomedical signals processing - methods and applications

    Aleksandra D. Kawala-Sterniuk, Mariusz Pelc, Radek Martinek, Grzegorz Wójcik

    Frontiers in Neuroscience · 2022

  19. Advanced bioelectrical signal processing methods: past, present, and future approach - Part III: Other biosignals

    Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros, Khosrow Behbehani, Radana Vilimkova Kahankova, Aleksandra D Kawala-Sterniuk

    Sensors · 2021

  20. Advanced bioelectrical signal processing methods: past, present and future approach - Part II: Brain signals

    Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros, Khosrow Behbehani, Radana Vilimkova Kahankova, Aleksandra D Kawala-Sterniuk

    Sensors · 2021