Canine age classification using Deep Learning as a step towards preventive medicine in animals. - Szymon Mazurek; Maciej Wielgosz; Jakub Caputa; Rafal Fraczek; Michal Karwatowski; Jakub Grzeszczyk; Daria Lukasik; Anna Smiech; Pawel Russek; Ernest Jamro; Agnieszka Dabrowska-Boruch; Marcin Pietron; et al. (FedCSIS, 2022)

Impact of the Pre-processing and Balancing of EEG Data on the Performance of Graph Neural Network for Epileptic Seizure Classification. - Szymon Mazurek; Rosmary Blanco; Joan Falcó-Roget; Jan K. Argasinski; Alessandro Crimi (ICAISC (2), 2023)

Electroencephalographic (EEG) Correlates of Visually Induced Motion Sickness (VIMS) in the Virtual Reality (VR) Based Simulations. - Jan K. Argasinski; Natalia Lipp; Szymon Mazurek (INTERACT (4), 2023)

Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis. - Jakub Grzeszczyk; Michal Karwatowski; Daria Lukasik; Maciej Wielgosz; Pawel Russek; Szymon Mazurek; Jakub Caputa; Rafal Fraczek; Anna Smiech; Ernest Jamro; Sebastian Koryciak; Agnieszka Dabrowska-Boruch; et al. (CoRR, 2023)

Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology. - Jakub Caputa; Maciej Wielgosz; Daria Lukasik; Pawel Russek; Jakub Grzeszczyk; Michal Karwatowski; Szymon Mazurek; Rafal Fraczek; Anna Smiech; Ernest Jamro; Sebastian Koryciak; Agnieszka Dabrowska-Boruch; et al. (CoRR, 2023)

Assessing Dataset Quality Through Decision Tree Characteristics in Autoencoder-Processed Spaces. - Szymon Mazurek; Maciej Wielgosz (CoRR, 2023)

Using simulation to calibrate real data acquisition in veterinary medicine. - Krystian Strzalka; Szymon Mazurek; Maciej Wielgosz; Pawel Russek; Jakub Caputa; Daria Lukasik; Jan Krupinski; Jakub Grzeszczyk; Michal Karwatowski; Rafal Fraczek; Ernest Jamro; Marcin Pietron; et al. (CoRR, 2023)

Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification. - Jan Krupinski; Maciej Wielgosz; Szymon Mazurek; Krystian Strzalka; Pawel Russek; Jakub Caputa; Daria Lukasik; Jakub Grzeszczyk; Michal Karwatowski; Rafal Fraczek; Ernest Jamro; Marcin Pietron; et al. (CoRR, 2023)

Investigation of Energy-Efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation. - Szymon Mazurek; Monika Pytlarz; Sylwia Malec; Alessandro Crimi (ICCS (4), 2024)

Explainable Graph Neural Networks for EEG Classification and Seizure Detection in Epileptic Patients. - Szymon Mazurek; Rosmary Blanco; Joan Falcó-Roget; Alessandro Crimi (ISBI, 2024)

Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors. - Mustafa Sakhai; Szymon Mazurek; Jakub Caputa; Jan K. Argasinski; Maciej Wielgosz (CoRR, 2024)

How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not. - Francesco Verdini; Pierfrancesco Melucci; Stefano Perna; Francesco Cariaggi; Marco Gaido; Sara Papi; Szymon Mazurek; Marek Kasztelnik; Luisa Bentivogli; Sébastien Bratières; Paolo Merialdo; Simone Scardapane (CoRR, 2024)

GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging. - Sarthak Pati; Szymon Mazurek; Spyridon Bakas (CoRR, 2024)

Fast Prediction of Job Execution Times in the ALICE Grid Through GPU-Based Inference with Quantization and Sparsity Techniques. - Tomasz Lelek; Szymon Mazurek; Maciej Wielgosz; Bartosz Balis (ICCS (4), 2025)

Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective. - Szymon Mazurek; Jakub Caputa; Jan K. Argasinski; Maciej Wielgosz (CoRR, 2025)

Analyzing Internal Activity and Robustness of SNNs Across Neuron Parameter Space. - Szymon Mazurek; Jakub Caputa; Maciej Wielgosz (CoRR, 2025)

Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings. - Szymon Mazurek; Stephen Moore; Alessandro Crimi (CoRR, 2025)