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ORCIDSzymon Mazurek
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2020 – today
- 2024
[c5]Szymon Mazurek
, Monika Pytlarz, Sylwia Malec, Alessandro Crimi:
Investigation of Energy-Efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation. ICCS (4) 2024: 61-74- [c4]Szymon Mazurek, Rosmary Blanco, Joan Falcó-Roget, Alessandro Crimi:
Explainable Graph Neural Networks for EEG Classification and Seizure Detection in Epileptic Patients. ISBI 2024: 1-5 - [i9]Szymon Mazurek, Monika Pytlarz, Sylwia Malec, Alessandro Crimi:
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation. CoRR abs/2405.15778 (2024) - [i8]Mustafa Sakhai, Szymon Mazurek, Jakub Caputa, Jan K. Argasinski, Maciej Wielgosz:
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors. CoRR abs/2406.00473 (2024) - [i7]Francesco Verdini, Pierfrancesco Melucci, Stefano Perna, Francesco Cariaggi, Marco Gaido, Sara Papi, Szymon Mazurek, Marek Kasztelnik, Luisa Bentivogli, Sébastien Bratières, Paolo Merialdo, Simone Scardapane:
How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not. CoRR abs/2409.17044 (2024) - [i6]Sarthak Pati, Szymon Mazurek, Spyridon Bakas:
GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging. CoRR abs/2410.00173 (2024) - 2023
- [c3]Szymon Mazurek, Rosmary Blanco, Joan Falcó-Roget, Jan K. Argasinski, Alessandro Crimi:
Impact of the Pre-processing and Balancing of EEG Data on the Performance of Graph Neural Network for Epileptic Seizure Classification. ICAISC (2) 2023: 258-268 - [c2]Jan K. Argasinski, Natalia Lipp, Szymon Mazurek:
Electroencephalographic (EEG) Correlates of Visually Induced Motion Sickness (VIMS) in the Virtual Reality (VR) Based Simulations. INTERACT (4) 2023: 59-67 - [i5]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, Marcin Pietron, Kazimierz Wiatr:
Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis. CoRR abs/2305.04332 (2023) - [i4]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, Marcin Pietron, Kazimierz Wiatr:
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology. CoRR abs/2306.11848 (2023) - [i3]Szymon Mazurek, Maciej Wielgosz:
Assessing Dataset Quality Through Decision Tree Characteristics in Autoencoder-Processed Spaces. CoRR abs/2306.15392 (2023) - [i2]Krystian Strzalka, Szymon Mazurek, Maciej Wielgosz, Pawel Russek, Jakub Caputa, Daria Lukasik, Jan Krupinski, Jakub Grzeszczyk, Michal Karwatowski, Rafal Fraczek, Ernest Jamro, Marcin Pietron, Sebastian Koryciak, Agnieszka Dabrowska-Boruch, Kazimierz Wiatr:
Using simulation to calibrate real data acquisition in veterinary medicine. CoRR abs/2307.11695 (2023) - [i1]Jan Krupinski, Maciej Wielgosz, Szymon Mazurek, Krystian Strzalka, Pawel Russek, Jakub Caputa, Daria Lukasik, Jakub Grzeszczyk, Michal Karwatowski, Rafal Fraczek, Ernest Jamro, Marcin Pietron, Sebastian Koryciak, Agnieszka Dabrowska-Boruch, Kazimierz Wiatr:
Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification. CoRR abs/2308.06055 (2023) - 2022
- [c1]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, Sebastian Koryciak, Kazimierz Wiatr:
Canine age classification using Deep Learning as a step towards preventive medicine in animals. FedCSIS 2022: 169-172
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