Urszula Markowska-Kaczmar

According to our database, Urszula Markowska-Kaczmar authored at least 70 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep learning for cancer cell detection: do we need dedicated models?

Michal Karol, Martin Tabakov, Urszula Markowska-Kaczmar, Lukasz Fulawka

Artif. Intell. Rev., March, 2024

Gradient Overdrive: Avoiding Negative Randomness Effects in Stochastic Gradient Descent.

Filip Strzalka, Urszula Markowska-Kaczmar

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2024

2021

Extreme learning machine versus classical feedforward network.

Urszula Markowska-Kaczmar, Michal Kosturek

Neural Comput. Appl., 2021

Human flow recognition using deep networks and vision methods.

Mateusz Zimoch, Urszula Markowska-Kaczmar

Eng. Appl. Artif. Intell., 2021

3D robotic navigation using a vision-based deep reinforcement learning model.

Piotr Zielinski, Urszula Markowska-Kaczmar

Appl. Soft Comput., 2021

Utterance Style Transfer Using Deep Models.

Daniel Popek, Urszula Markowska-Kaczmar

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Creating herd behavior by virtual agents using neural networks.

Urszula Markowska-Kaczmar, Adrian Slimak

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions.

Anna Palczewska, Urszula Markowska-Kaczmar

Proceedings of the Computational Science - ICCS 2021, 2021

Capsule Network Versus Convolutional Neural Network in Image Classification - Comparative Analysis.

Ewa Juralewicz, Urszula Markowska-Kaczmar

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Comparison of Attention-based Deep Learning Models for EEG Classification.

Giulia Cisotto, Alessio Zanga, Joanna Chlebus, Italo Zoppis, Sara Manzoni, Urszula Markowska-Kaczmar

CoRR, 2020

Markov network versus recurrent neural network in forming herd behavior based on sight and simple sound communication.

Urszula Markowska-Kaczmar, Tomasz Marcinkowski

Appl. Soft Comput., 2020

Inference Ability Assessment of Modified Differential Neural Computer.

Urszula Markowska-Kaczmar, Grzegorz Kulakowski

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2018

Is Convolutional Network Competitive for Vision Method in the Furniture Dowel Quality Control?

Urszula Markowska-Kaczmar, Michal Skiba

Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

American Sign Language Fingerspelling Recognition Using Wide Residual Networks.

Kacper Kania, Urszula Markowska-Kaczmar

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2016

Caption-guided patent image segmentation.

Urszula Markowska-Kaczmar, Jerzy Sas, Anastasia Moumtzidou

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Employing Game Theory and Computational Intelligence to Find the Optimal Strategy of an Autonomous Underwater Vehicle against a Submarine.

Bartlomiej Józef Dzienkowski, Christopher Strode, Urszula Markowska-Kaczmar

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

A* Heuristic Based on a Hierarchical Space Model Extracted from Game Replays.

Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015

Spiking neural network vs multilayer perceptron: who is the winner in the racing car computer game.

Urszula Markowska-Kaczmar, Mateusz Koldowski

Soft Comput., 2015

Image-based logical document structure recognition.

Grzegorz Kamola, Michal Spytkowski, Mariusz Paradowski, Urszula Markowska-Kaczmar

Pattern Anal. Appl., 2015

Automatic Indication of Heat Loss in Thermograms of Buildings.

Urszula Markowska-Kaczmar, Agnieszka Szymanska, Lukasz Culer

Int. J. Comput. Sci. Appl., 2015

A Language-Independent Method for Detection and Correction of Alignment Errors in Parallel Corpora.

Katarzyna Nizalowska, Urszula Markowska-Kaczmar

Proceedings of the Natural Language Processing and Information Systems, 2015

Logical structure recognition of diagram images.

Jerzy Sas, Urszula Markowska-Kaczmar

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

The Selected Metaheuristics Efficacy Assessment for a Given Class of Problems.

Urszula Markowska-Kaczmar, Adam Mróz

Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014

Recent Advances in Applied Computational Intelligence.

Bartosz Krawczyk, Urszula Markowska-Kaczmar, Halina Kwasnicka

Appl. Artif. Intell., 2014

Fast learning method of interval type-2 fuzzy neural networks.

Damian Olczyk, Urszula Markowska-Kaczmar

Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

Automatic information extraction from heatmaps.

Urszula Markowska-Kaczmar, Agnieszka Szymanska, Lukasz Culer

Proceedings of the 5th International Conference on Information, 2014

Indoor head detection and tracking on RGBD images.

Katarzyna Nizalowska, Lukasz Burdka, Urszula Markowska-Kaczmar

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

2013

Recognition of Vehicle Motion Patterns in Video Sequences.

Bartosz Buczek, Urszula Markowska-Kaczmar

Proceedings of the Advances in Systems Science, 2013

2012

Agent Cooperation within Adversarial Teams in Dynamic Environment - Key Issues and Development Trends.

Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar

Trans. Comput. Collect. Intell., 2012

Similarity-based training set acquisition for continuous handwriting recognition.

Jerzy Sas, Urszula Markowska-Kaczmar

Inf. Sci., 2012

Information Extraction from Geographical Overview Maps.

Roman Pawlikowski, Krzysztof Ociepa, Urszula Markowska-Kaczmar, Pawel B. Myszkowski

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

Plan and Goal Structure Reconstruction: An Automated and Incremental Method Based on Observation of a Single Agent.

Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar

Proceedings of the Computer Information Systems and Industrial Management, 2012

2011

Flocking behaviour in simple ecosystems as a result of artificial evolution.

Halina Kwasnicka, Urszula Markowska-Kaczmar, Marcin Mikosik

Appl. Soft Comput., 2011

Similar Image Recognition Inspired by Visual Cortex.

Urszula Markowska-Kaczmar, Adam Puchalski

Proceedings of the Advances in Soft Computing, 2011

Towards Automatic Image Annotation Supporting Document Understanding.

Urszula Markowska-Kaczmar, Pawel Minda, Krzysztof Ociepa, Dariusz Olszowy, Roman Pawlikowski

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Graphical Pattern Identification Inspired by Perception.

Urszula Markowska-Kaczmar, Adam Rybski

Proceedings of the Intelligent Information and Database Systems, 2011

2010

Intelligent Techniques in Personalization of Learning in e-Learning Systems.

Urszula Markowska-Kaczmar, Halina Kwasnicka, Mariusz Paradowski

Proceedings of the Computational Intelligence for Technology Enhanced Learning, 2010

Biologically Inspired Agent System Based on Spiking Neural Network.

Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar

Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2010

Emotion-based Image Retrieval - an Artificial Neural Network Approach.

Katarzyna Agnieszka Olkiewicz, Urszula Markowska-Kaczmar

Proceedings of the International Multiconference on Computer Science and Information Technology, 2010

The Influence of Using Design Patterns on the Process of Implementing Genetic Algorithms.

Urszula Markowska-Kaczmar, Filip Krygowski

Proceedings of the Trends in Applied Intelligent Systems, 2010

2009

Capillary Abnormalities Detection Using Vessel Thickness and Curvature Analysis.

Mariusz Paradowski, Urszula Markowska-Kaczmar, Halina Kwasnicka, Krzysztof Borysewicz

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

Combined Unsupervised-Supervised Classification Method.

Urszula Markowska-Kaczmar, Tomasz Switek

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

Kohonen's neural network and evolutionary algorithms in searching for financial investment strategy.

Urszula Markowska-Kaczmar, Krzysztof Rosól

Proceedings of the International Multiconference on Computer Science and Information Technology, 2009

Localization of cancerous changes in images of breast tissue.

Urszula Markowska-Kaczmar, Norbert Kosmal, Piotr Orzechowski, Pawel Iwaszko, M. Baranczyk, Kazimierz Orzechowski

Proceedings of the International Multiconference on Computer Science and Information Technology, 2009

2008

Evolutionary Approaches to Rule Extraction from Neural Networks.

Urszula Markowska-Kaczmar

Proceedings of the Engineering Evolutionary Intelligent Systems, 2008

Multi-class iteratively refined negative selection classifier.

Urszula Markowska-Kaczmar, Bartosz Kordas

Appl. Soft Comput., 2008

Discovery of technical analysis patterns.

Urszula Markowska-Kaczmar, Maciej Dziedzic

Proceedings of the International Multiconference on Computer Science and Information Technology, 2008

Genetic Algorithm as a Tool for Stock Market Modelling.

Urszula Markowska-Kaczmar, Halina Kwasnicka, Marcin Szczepkowski

Proceedings of the Artificial Intelligence and Soft Computing, 2008

Evaluation of Subspace Clustering Quality.

Urszula Markowska-Kaczmar, Arletta Hurej

Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

Data Mining Techniques in e-Learning CelGrid System.

Pawel B. Myszkowski, Halina Kwasnicka, Urszula Markowska-Kaczmar

Proceedings of the 7th International Conference on Computer Information Systems and Industrial Management Applications, 2008

Learning Assistant - Personalizing Learning Paths in e-Learning Environments.

Halina Kwasnicka, Dorota Szul, Urszula Markowska-Kaczmar, Pawel B. Myszkowski

Proceedings of the 7th International Conference on Computer Information Systems and Industrial Management Applications, 2008

Extraction of Emotional Content from Music Data.

Marcin Bartoszewski, Halina Kwasnicka, Urszula Markowska-Kaczmar, Pawel B. Myszkowski

Proceedings of the 7th International Conference on Computer Information Systems and Industrial Management Applications, 2008

2007

Semi-Supervised Handwritten Word Segmentation Using Character Samples Similarity Maximization and Evolutionary Algorithm.

Jerzy Sas, Urszula Markowska-Kaczmar

Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management Applications, 2007

Semi-automatic Training Sets Acquisition for Handwriting Recognition.

Jerzy Sas, Urszula Markowska-Kaczmar

Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007

2006

GA-Based Pareto Optimization for Rule Extraction from Neural Networks.

Urszula Markowska-Kaczmar, Krystyna Mularczyk

Proceedings of the Multi-Objective Machine Learning, 2006

Rule extraction from a neural network by hierarchical multiobjective genetic algorithm.

Urszula Markowska-Kaczmar, Krystyna Mularczyk

Ann. UMCS Informatica, 2006

Mining of an electrocardiogram.

Urszula Markowska-Kaczmar, Bartosz Kordas

Ann. UMCS Informatica, 2006

Visualization as a method for relationship discovery in data Halina.

Halina Kwasnicka, Urszula Markowska-Kaczmar, Jacek Tomasiak

Ann. UMCS Informatica, 2006

Performance Evaluation of Different Kohenen Network Parallelization Techniques.

Jan Kwiatkowski, Marcin Pawlik, Urszula Markowska-Kaczmar, Dariusz Konieczny

Proceedings of the Fifth International Conference on Parallel Computing in Electrical Engineering (PARELEC 2006), 2006

Negative Selection based method for Multi-Class problem classification.

Urszula Markowska-Kaczmar, Bartosz Kordas

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

IBUSCA: A Grid-based Bottom-up Subspace Clustering Algorithm.

Michal Glomba, Urszula Markowska-Kaczmar

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Experimental Study of Evolutionary Based Method of Rule Extraction from Neural Networks in Medical Data.

Urszula Markowska-Kaczmar, Rafal Matkowski

Proceedings of the Advances in Data Mining, 2006

Creativity of Neural Networks.

Urszula Markowska-Kaczmar, Katarzyna Czeczot

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005

Fuzzy logic and evolutionary algorithm - two techniques in rule extraction from neural networks.

Urszula Markowska-Kaczmar, Wojciech Trelak

Neurocomputing, 2005

Support Vector Machines in Handwritten Digits Classification.

Urszula Markowska-Kaczmar, Pawel Kubacki

Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

The Influence of Parameters in Evolutionary Based Rule Extraction Method from Neural Network.

Urszula Markowska-Kaczmar

Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

2004

Discovering the Mysteries of Neural Networks.

Urszula Markowska-Kaczmar, Marcin Chumieja

Int. J. Hybrid Intell. Syst., 2004

Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization.

Urszula Markowska-Kaczmar, Pawel Wnuk-Lipinski

Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003

Opening Neural Network Black Box by Evolutionary Approach.

Urszula Markowska-Kaczmar, Marcin Chumieja

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Extraction of fuzzy rules from trained neural network using evolutionary algorithm.

Urszula Markowska-Kaczmar, Wojciech Trelak

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003