| 2026 | ACIIDS | Exploring Action Selection Methods in User-Driven Image Generation. | Daniil Hardzetski, Urszula Markowska-Kaczmar |
| 2026 | ICCS | MAGGNet: Guided Volumetric Metal Artefact Synthesis for Computed Tomography Scans. | Jakub Drzewiecki, Igor Holowacz, Bartosz Lewandowski, Filip Fit, Urszula Markowska-Kaczmar |
| 2026 | ICCS | Cross-Domain Few-Shot Segmentation of Histopathology Images with Mamba. | Joanna Szolomicka, Urszula Markowska-Kaczmar |
| 2024 | ACIIDS | Gradient Overdrive: Avoiding Negative Randomness Effects in Stochastic Gradient Descent. | Filip Strzalka, Urszula Markowska-Kaczmar |
| 2021 | ICCS | Capsule Network Versus Convolutional Neural Network in Image Classification - Comparative Analysis. | Ewa Juralewicz, Urszula Markowska-Kaczmar |
| 2021 | ICCS | Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions. | Anna Palczewska, Urszula Markowska-Kaczmar |
| 2021 | KES | Creating herd behavior by virtual agents using neural networks. | Urszula Markowska-Kaczmar, Adrian Slimak |
| 2021 | KES | Utterance Style Transfer Using Deep Models. | Daniel Popek, Urszula Markowska-Kaczmar |
| 2020 | ACIIDS | Inference Ability Assessment of Modified Differential Neural Computer. | Urszula Markowska-Kaczmar, Grzegorz Kulakowski |
| 2018 | ICAISC | American Sign Language Fingerspelling Recognition Using Wide Residual Networks. | Kacper Kania, Urszula Markowska-Kaczmar |
| 2018 | INISTA | Is Convolutional Network Competitive for Vision Method in the Furniture Dowel Quality Control? | Urszula Markowska-Kaczmar, Michal Skiba |
| 2016 | FedCSIS | A* Heuristic Based on a Hierarchical Space Model Extracted from Game Replays. | Bartlomiej Jzef Dzienkowski, Urszula Markowska-Kaczmar |
| 2016 | FedCSIS | Employing Game Theory and Computational Intelligence to Find the Optimal Strategy of an Autonomous Underwater Vehicle against a Submarine. | Bartlomiej Jzef Dzienkowski, Christopher Strode, Urszula Markowska-Kaczmar |
| 2016 | FedCSIS | Caption-guided patent image segmentation. | Urszula Markowska-Kaczmar, Jerzy Sas, Anastasia Moumtzidou |
| 2015 | ACIIDS | The Selected Metaheuristics Efficacy Assessment for a Given Class of Problems. | Urszula Markowska-Kaczmar, Adam Mrz |
| 2015 | FedCSIS | Logical structure recognition of diagram images. | Jerzy Sas, Urszula Markowska-Kaczmar |
| 2015 | NLDB | A Language-Independent Method for Detection and Correction of Alignment Errors in Parallel Corpora. | Katarzyna Nizalowska, Urszula Markowska-Kaczmar |
| 2014 | FedCSIS | Indoor head detection and tracking on RGBD images. | Katarzyna Nizalowska, Lukasz Burdka, Urszula Markowska-Kaczmar |
| 2012 | ICCCI | Information Extraction from Geographical Overview Maps. | Roman Pawlikowski, Krzysztof Ociepa, Urszula Markowska-Kaczmar, Pawel B. Myszkowski |
| 2011 | ACIIDS | Graphical Pattern Identification Inspired by Perception. | Urszula Markowska-Kaczmar, Adam Rybski |
| 2011 | HAIS | Towards Automatic Image Annotation Supporting Document Understanding. | Urszula Markowska-Kaczmar, Pawel Minda, Krzysztof Ociepa, Dariusz Olszowy, Roman Pawlikowski |
| 2009 | KES | Combined Unsupervised-Supervised Classification Method. | Urszula Markowska-Kaczmar, Tomasz Switek |
| 2009 | KES | Capillary Abnormalities Detection Using Vessel Thickness and Curvature Analysis. | Mariusz Paradowski, Urszula Markowska-Kaczmar, Halina Kwasnicka, Krzysztof Borysewicz |
| 2008 | HAIS | Evaluation of Subspace Clustering Quality. | Urszula Markowska-Kaczmar, Arletta Hurej |
| 2008 | ICAISC | Genetic Algorithm as a Tool for Stock Market Modelling. | Urszula Markowska-Kaczmar, Halina Kwasnicka, Marcin Szczepkowski |
| 2007 | CAIP | Semi-automatic Training Sets Acquisition for Handwriting Recognition. | Jerzy Sas, Urszula Markowska-Kaczmar |
| 2006 | ICAISC | Creativity of Neural Networks. | Urszula Markowska-Kaczmar, Katarzyna Czeczot |
| 2006 | ISDA | IBUSCA: A Grid-based Bottom-up Subspace Clustering Algorithm. | Michal Glomba, Urszula Markowska-Kaczmar |
| 2006 | ISDA | Negative Selection based method for Multi-Class problem classification. | Urszula Markowska-Kaczmar, Bartosz Kordas |
| 2005 | ISDA | The Influence of Parameters in Evolutionary Based Rule Extraction Method from Neural Network. | Urszula Markowska-Kaczmar |
| 2005 | ISDA | Support Vector Machines in Handwritten Digits Classification. | Urszula Markowska-Kaczmar, Pawel Kubacki |
| 2004 | ICAISC | Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization. | Urszula Markowska-Kaczmar, Pawel Wnuk-Lipinski |
| 2003 | ESANN | Extraction of fuzzy rules from trained neural network using evolutionary algorithm. | Urszula Markowska-Kaczmar, Wojciech Trelak |
| 2003 | HIS | Opening Neural Network Black Box by Evolutionary Approach. | Urszula Markowska-Kaczmar, Marcin Chumieja |