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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. Image-based EEG representations for convolutional neural networks: a task-dependent analysis

    Aleksandra D Kawala-Sterniuk, Izabela Rejer

    AIME 2026 · 2027

  2. LEON: location embeddings from OSM neighborhoods via hexagonal graph masked autoencoders

    Szymon Sołtysiak, Radosław J Małek, Jędrzej Kuśnierz, Miłosz Chojecki, Piotr Szymański, Aleksandra D Kawala-Sterniuk

    ICCCI 2026 · 2027

  3. Learning representations from 3D Gaussian splats

    Julia Farganus, Krzysztof Żurawicki, Weronika Z Jakubowska, Halina Kwaśnicka, Arkadiusz Gaweł

    ICCCI 2026 · 2027

  4. Preliminary study on leveraging ensemble convolutional neural networks for robust eye movement pattern recognition via EEG systems

    Jędrzej Kuśnierz, Radosław J Małek, Szymon Sołtysiak, Mariusz Pelc, Aleksandra D Kawala-Sterniuk, Edward Jacek Gorzelanczyk

    2026

  5. Employing LLMs for improved bots detection

    Mariusz Pelc, Aleksandra D Kawala-Sterniuk, Patryk Mendon, Michał Podpora

    2026

  6. Initial study on cancer diagnosis using AI/NLP and expert system integration

    Mariusz Pelc, Tomasz Kajdanowicz, Aleksandra D Kawala-Sterniuk, Sławomir Stemplewski, Waldemar Bauer

    ICCS 2026 · 2026

  7. Graphomotor performance as a quantitative marker of Alzheimer’s disease: a tablet-based case–control ROC study

    Aleksandra D Kawala-Sterniuk, Edward Jacek Gorzelanczyk, Ewa Laskowska, Katarzyna Pasgreta, Piotr Kamiński, Piotr Walecki

    Frontiers in Neuroscience · 2026

  8. From chatbot to validator

    Aleksandra D Kawala-Sterniuk, Mariusz Pelc, Michał Podpora, Marek Baranowski, Piotr Rogala, Piotr Kawa, Paweł Piróg, Anna Romaniewska, Wojciech Rogala

    ICAART 2026 · 2026

  9. A Bayesian classification approach for exploring EEG band power reduction and P300 attenuation as candidate group-associated markers in alcohol use disorder: a preliminary study

    Aleksandra D. Kawala-Sterniuk, Mariusz Pelc, Edward Jacek Gorzelanczyk

    Algorithms · 2026

  10. DualRAG architecture - Structured retrieval with layered knowledge models

    Aleksandra D Kawala-Sterniuk, Mariusz Pelc, Michał Podpora, Marek Baranowski

    ICAART 2026 · 2026

  11. Harnessing Few-Shot Learning Segmentation for Histopathology: A Comprehensive Practical Study

    Joanna I. Szołomicka, Urszula Markowska-Kaczmar

    Artificial Intelligence in Diagnostics and Imaging Technologies in Healthcare · 2026

  12. Deep learning approaches for natural language processing

    Aleksandra D Kawala-Sterniuk, Aleksandra Świetlicka, Dariusz Mikołajewski

    Electronics · 2026

  13. Exploring action selection methods in user-driven image generation

    Daniil Hardzetski, Urszula Markowska-Kaczmar

    ACIIDS 2026 · 2026

  14. Local lesion generation is effective for capsule endoscopy image data augmentation in a limited data setting

    Adrian Chłopowiec, Adam Chłopowiec, Krzysztof J Galus, Wojciech Cebula, Martin Tabakow

    Applied Soft Computing · 2026

  15. Initial Study on Mental Disease Detection System Using Welch Transform and Machine Learning-Based Methods

    Mariusz Pelc, Kamil Adamczewski, Katarzyna M Białas, Rafał Chałupnik, Dawid Krutul, Dawid T Wolkiewicz, Aleksandra D Kawala-Sterniuk, Magda Żołubak, Dariusz Mikołajewski, Adrian Luckiewicz, Mateusz Koryciński, Waldemar Karwowski

    Applied Sciences · 2026

  16. MAGGNet: guided volumetric metal artefact synthesis for computed tomography scans

    Jakub Drzewiecki, Igor Hołowacz, Bartosz Lewandowski, Filip Fit, Urszula Markowska-Kaczmar

    ICCS 2026 · 2026

  17. Cross-domain few-shot segmentation of histopathology images with Mamba

    Joanna I. Szołomicka, Urszula Markowska-Kaczmar

    ICCS 2026 · 2026

  18. Braves-Cog: An integrated multimodal framework for biomarker-guided cognitive neuromodulation

    Karolina Fila-Pawłowska, Joanna K Budzisz, Magdalena Kasprowicz, Marta A Rusnak, Agnieszka Kazimierska, Agnieszka M Uryga, Aleksandra D Kawala-Sterniuk, Tomasz Kajdanowicz, Joanna A Rymaszewska

    2026 · 2026

  19. Low-cost brain-computer interface for stress detection: a feasibility study using EEG and ML.NET

    Rafał Chałupnik, Katarzyna M Białas, Bartosz Perz, Mariusz Pelc, Aleksandra D Kawala-Sterniuk

    2026

  20. Decision-making performance and block-wise trajectories in gambling disorder and opioid use disorder using the Iowa Gambling Task

    Aleksandra D Kawala-Sterniuk, Edward Jacek Gorzelanczyk, Ewa Laskowska, Piotr Kamiński, Piotr Walecki

    Brain Sciences · 2026