Harnessing Few-Shot Learning Segmentation for Histopathology: A Comprehensive Practical Study
Joanna I. Szołomicka, Urszula Markowska-Kaczmar
Intelligent systems reference library
Profile
Full Professor
Urszula Markowska-Kaczmar is a full professor at the Wroclaw University of Science and Technology in the Artificial Intelligence Department. She has graduated and received a Ph.D. from the Faculty of Electronics at the Wroclaw University of Technology. In 2008 she received DSc (habilitation) at the System Research Institute of the Polish Academy of Sciences in Warsaw. In 1999-2001 she was deputy dean of the Faculty of Computer Science and Management at the Wroclaw University of Science and Technology. For ten years, she led the student scientific group medical.ml. Her research interests include Computational Intelligence Methods. Since the beginning, she has researched Neural Networks and knowledge extraction from these models. Now she focuses on deep neural networks and their applications. She is the author of more than 130 papers on neural networks, deep network applications, and artificial life. She is a member of international committees and a reviewer in prestigious international journals focused on machine learning pattern recognition and neural networks.
MsC in Computer Science
Wroclaw University of Science and Technology
Ph.D. in Computer Science, Artificial Intelligence
Wroclaw University of Science and Technology
D.Sc. in Computer Science
Systems Research Institute of the Polish Academy of Sciences
Full Professor in Information and Communication Technology
Wroclaw University of Science and Technology
Joanna I. Szołomicka, Urszula Markowska-Kaczmar
Intelligent systems reference library
Jakub Drzewiecki, Igor Hołowacz, Bartosz Lewandowski, Filip Fit, Urszula Markowska-Kaczmar
Cham : Springer Nature Switzerland AG, cop. 2026. s. 346-353.
Daniil Hardzetski, Urszula Markowska-Kaczmar
Communications in computer and information science
Urszula Markowska-Kaczmar, Michał Wawrzyniak, Karol Szymończyk, Joanna I Szołomicka, Jakub Pyka, Karol Kulawiec, Michał Karolewski, Aneta Demidaś
Engineering Applications of Artificial Intelligence 2025 vol. 144, art. 109998, s. 1-20.
Urszula Markowska-Kaczmar, Filip Strzałka
Singapore : Springer, cop. 2024. s. 175-186.
Michał P. Karol, Martin Tabakow, Urszula Markowska-Kaczmar, Łukasz Fuławka
Artificial Intelligence Review 2024 vol. 57, art. 53, s. 1-36.
Halina Kwaśnicka, Urszula Markowska-Kaczmar, Nikhil Jain, Chee Peng Lim, Lakhmi C Jain
Intelligent systems reference library
Joanna I. Szołomicka, Urszula Markowska-Kaczmar
Intelligent Systems Reference Library
Sebastian Jamroziński, Urszula Markowska-Kaczmar
Scientific Reports 2022 vol. 12, art. 14665, s. 1-17.
Urszula Markowska-Kaczmar, Michał Kosturek
Neural Computing and Applications
Urszula Markowska-Kaczmar, Adrian Ślimak
Procedia Computer Science
Ewa Juralewicz, Urszula Markowska-Kaczmar
Lecture notes in computer science
Daniel Popek, Urszula Markowska-Kaczmar
Procedia Computer Science
Mateusz Zimoch, Urszula Markowska-Kaczmar
Engineering Applications of Artificial Intelligence
Urszula Markowska-Kaczmar, Anna Palczewska
Lecture notes in computer science
Urszula Markowska-Kaczmar, Tomasz Marcinkowski
Applied Soft Computing
Urszula Markowska-Kaczmar, Grzegorz Kułakowski
Lecture notes in computer science
Urszula Markowska-Kaczmar, Silvia Corchs, Giovanni Chioma, Riccardo Dondi, Francesca Gasparini, Sara Manzoni, Giancarlo Mauri, Italo Zoppis, Angela Morreale
Frontiers in Neuroscience 2019 vol. 13, art. 807, s. 1-7.
Urszula Markowska-Kaczmar, Halina Kwaśnicka
Intelligent Systems Reference Library
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