Urszula Markowska-Kaczmar

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 15

Top Topics

American Sign Language

Computational Intelligence

Top Venues

Publications

Michal Karol, Martin Tabakov, Urszula Markowska-Kaczmar, Lukasz Fulawka
Deep learning for cancer cell detection: do we need dedicated models? Artif. Intell. Rev. 57 (3) (2024)
Anna Palczewska, Urszula Markowska-Kaczmar
Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions. ICCS (2) (2021)
Mateusz Zimoch, Urszula Markowska-Kaczmar
Human flow recognition using deep networks and vision methods. Eng. Appl. Artif. Intell. 104 (2021)
Urszula Markowska-Kaczmar, Michal Kosturek
Extreme learning machine versus classical feedforward network. Neural Comput. Appl. 33 (22) (2021)
Urszula Markowska-Kaczmar, Adrian Slimak
Creating herd behavior by virtual agents using neural networks. KES (2021)
Daniel Popek, Urszula Markowska-Kaczmar
Utterance Style Transfer Using Deep Models. KES (2021)
Ewa Juralewicz, Urszula Markowska-Kaczmar
Capsule Network Versus Convolutional Neural Network in Image Classification - Comparative Analysis. ICCS (5) (2021)
Giulia Cisotto, Alessio Zanga, Joanna Chlebus, Italo Zoppis, Sara Manzoni, Urszula Markowska-Kaczmar
Comparison of Attention-based Deep Learning Models for EEG Classification. CoRR (2020)
Urszula Markowska-Kaczmar, Grzegorz Kulakowski
Inference Ability Assessment of Modified Differential Neural Computer. ACIIDS (1) (2020)
Urszula Markowska-Kaczmar, Tomasz Marcinkowski
Markov network versus recurrent neural network in forming herd behavior based on sight and simple sound communication. Appl. Soft Comput. 90 (2020)
Kacper Kania, Urszula Markowska-Kaczmar
American Sign Language Fingerspelling Recognition Using Wide Residual Networks. ICAISC (1) (2018)
Urszula Markowska-Kaczmar, Michal Skiba
Is Convolutional Network Competitive for Vision Method in the Furniture Dowel Quality Control? INISTA (2018)
Bartlomiej Józef Dzienkowski, Christopher Strode, Urszula Markowska-Kaczmar
Employing Game Theory and Computational Intelligence to Find the Optimal Strategy of an Autonomous Underwater Vehicle against a Submarine. FedCSIS (2016)
Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar
A* Heuristic Based on a Hierarchical Space Model Extracted from Game Replays. FedCSIS (2016)
Urszula Markowska-Kaczmar, Jerzy Sas, Anastasia Moumtzidou
Caption-guided patent image segmentation. FedCSIS (2016)
Urszula Markowska-Kaczmar, Agnieszka Szymanska, Lukasz Culer
Automatic Indication of Heat Loss in Thermograms of Buildings. Int. J. Comput. Sci. Appl. 12 (2) (2015)
Jerzy Sas, Urszula Markowska-Kaczmar
Logical structure recognition of diagram images. FedCSIS (2015)
Katarzyna Nizalowska, Urszula Markowska-Kaczmar
A Language-Independent Method for Detection and Correction of Alignment Errors in Parallel Corpora. NLDB (2015)
Urszula Markowska-Kaczmar, Mateusz Koldowski
Spiking neural network vs multilayer perceptron: who is the winner in the racing car computer game. Soft Comput. 19 (12) (2015)
Urszula Markowska-Kaczmar, Adam Mróz
The Selected Metaheuristics Efficacy Assessment for a Given Class of Problems. ACIIDS (1) (2015)
Grzegorz Kamola, Michal Spytkowski, Mariusz Paradowski, Urszula Markowska-Kaczmar
Image-based logical document structure recognition. Pattern Anal. Appl. 18 (3) (2015)
Urszula Markowska-Kaczmar, Agnieszka Szymanska, Lukasz Culer
Automatic information extraction from heatmaps. IISA (2014)
Bartosz Krawczyk, Urszula Markowska-Kaczmar, Halina Kwasnicka
Recent Advances in Applied Computational Intelligence. Appl. Artif. Intell. 28 (3) (2014)
Katarzyna Nizalowska, Lukasz Burdka, Urszula Markowska-Kaczmar
Indoor head detection and tracking on RGBD images. FedCSIS (2014)
Damian Olczyk, Urszula Markowska-Kaczmar
Fast learning method of interval type-2 fuzzy neural networks. UKCI (2014)
Bartosz Buczek, Urszula Markowska-Kaczmar
Recognition of Vehicle Motion Patterns in Video Sequences. ICSS (2013)
Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar
Agent Cooperation within Adversarial Teams in Dynamic Environment - Key Issues and Development Trends. Trans. Comput. Collect. Intell. 6 (2012)
Roman Pawlikowski, Krzysztof Ociepa, Urszula Markowska-Kaczmar, Pawel B. Myszkowski
Information Extraction from Geographical Overview Maps. ICCCI (1) (2012)
Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar
Plan and Goal Structure Reconstruction: An Automated and Incremental Method Based on Observation of a Single Agent. CISIM (2012)
Jerzy Sas, Urszula Markowska-Kaczmar
Similarity-based training set acquisition for continuous handwriting recognition. Inf. Sci. 191 (2012)
Urszula Markowska-Kaczmar, Adam Puchalski
Similar Image Recognition Inspired by Visual Cortex. MICAI (2) (2011)
Urszula Markowska-Kaczmar, Pawel Minda, Krzysztof Ociepa, Dariusz Olszowy, Roman Pawlikowski
Towards Automatic Image Annotation Supporting Document Understanding. HAIS (1) (2011)
Urszula Markowska-Kaczmar, Adam Rybski
Graphical Pattern Identification Inspired by Perception. ACIIDS (2) (2011)
Halina Kwasnicka, Urszula Markowska-Kaczmar, Marcin Mikosik
Flocking behaviour in simple ecosystems as a result of artificial evolution. Appl. Soft Comput. 11 (1) (2011)
Katarzyna Agnieszka Olkiewicz, Urszula Markowska-Kaczmar
Emotion-based Image Retrieval - an Artificial Neural Network Approach. IMCSIT (2010)
Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar
Biologically Inspired Agent System Based on Spiking Neural Network. KES-AMSTA (2) (2010)
Urszula Markowska-Kaczmar, Filip Krygowski
The Influence of Using Design Patterns on the Process of Implementing Genetic Algorithms. IEA/AIE (2) (2010)
Urszula Markowska-Kaczmar, Krzysztof Rosól
Kohonen's neural network and evolutionary algorithms in searching for financial investment strategy. IMCSIT (2009)
Urszula Markowska-Kaczmar, Norbert Kosmal, Piotr Orzechowski, Pawel Iwaszko, M. Baranczyk, Kazimierz Orzechowski
Localization of cancerous changes in images of breast tissue. IMCSIT (2009)
Urszula Markowska-Kaczmar, Tomasz Switek
Combined Unsupervised-Supervised Classification Method. KES (2) (2009)
Mariusz Paradowski, Urszula Markowska-Kaczmar, Halina Kwasnicka, Krzysztof Borysewicz
Capillary Abnormalities Detection Using Vessel Thickness and Curvature Analysis. KES (2) (2009)
Urszula Markowska-Kaczmar, Bartosz Kordas
Multi-class iteratively refined negative selection classifier. Appl. Soft Comput. 8 (2) (2008)
Urszula Markowska-Kaczmar, Maciej Dziedzic
Discovery of technical analysis patterns. IMCSIT (2008)
Halina Kwasnicka, Dorota Szul, Urszula Markowska-Kaczmar, Pawel B. Myszkowski
Learning Assistant - Personalizing Learning Paths in e-Learning Environments. CISIM (2008)
Marcin Bartoszewski, Halina Kwasnicka, Urszula Markowska-Kaczmar, Pawel B. Myszkowski
Extraction of Emotional Content from Music Data. CISIM (2008)
Pawel B. Myszkowski, Halina Kwasnicka, Urszula Markowska-Kaczmar
Data Mining Techniques in e-Learning CelGrid System. CISIM (2008)
Urszula Markowska-Kaczmar, Arletta Hurej
Evaluation of Subspace Clustering Quality. HAIS (2008)
Urszula Markowska-Kaczmar, Halina Kwasnicka, Marcin Szczepkowski
Genetic Algorithm as a Tool for Stock Market Modelling. ICAISC (2008)
Jerzy Sas, Urszula Markowska-Kaczmar
Semi-automatic Training Sets Acquisition for Handwriting Recognition. CAIP (2007)
Jerzy Sas, Urszula Markowska-Kaczmar
Semi-Supervised Handwritten Word Segmentation Using Character Samples Similarity Maximization and Evolutionary Algorithm. CISIM (2007)
Urszula Markowska-Kaczmar, Katarzyna Czeczot
Creativity of Neural Networks. ICAISC (2006)
Michal Glomba, Urszula Markowska-Kaczmar
IBUSCA: A Grid-based Bottom-up Subspace Clustering Algorithm. ISDA (1) (2006)
Urszula Markowska-Kaczmar, Krystyna Mularczyk
Rule extraction from a neural network by hierarchical multiobjective genetic algorithm. Ann. UMCS Informatica 4 (1) (2006)
Jan Kwiatkowski, Marcin Pawlik, Urszula Markowska-Kaczmar, Dariusz Konieczny
Performance Evaluation of Different Kohenen Network Parallelization Techniques. PARELEC (2006)
Urszula Markowska-Kaczmar, Rafal Matkowski
Experimental Study of Evolutionary Based Method of Rule Extraction from Neural Networks in Medical Data. ICDM (2006)
Urszula Markowska-Kaczmar, Bartosz Kordas
Mining of an electrocardiogram. Ann. UMCS Informatica 4 (1) (2006)
Urszula Markowska-Kaczmar, Bartosz Kordas
Negative Selection based method for Multi-Class problem classification. ISDA (2) (2006)
Halina Kwasnicka, Urszula Markowska-Kaczmar, Jacek Tomasiak
Visualization as a method for relationship discovery in data Halina. Ann. UMCS Informatica 4 (1) (2006)
Urszula Markowska-Kaczmar
The Influence of Parameters in Evolutionary Based Rule Extraction Method from Neural Network. ISDA (2005)
Urszula Markowska-Kaczmar, Wojciech Trelak
Fuzzy logic and evolutionary algorithm - two techniques in rule extraction from neural networks. Neurocomputing 63 (2005)
Urszula Markowska-Kaczmar, Pawel Kubacki
Support Vector Machines in Handwritten Digits Classification. ISDA (2005)
Urszula Markowska-Kaczmar, Marcin Chumieja
Discovering the Mysteries of Neural Networks. Int. J. Hybrid Intell. Syst. 1 (3-4) (2004)
Urszula Markowska-Kaczmar, Pawel Wnuk-Lipinski
Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization. ICAISC (2004)
Urszula Markowska-Kaczmar, Wojciech Trelak
Extraction of fuzzy rules from trained neural network using evolutionary algorithm. ESANN (2003)
Urszula Markowska-Kaczmar, Marcin Chumieja
Opening Neural Network Black Box by Evolutionary Approach. HIS (2003)