Urszula Markowska-Kaczmar

71 papers A* 1B 3C 11Misc 4Journal 20Unranked 29
YearRankTypeTitle / Venue / Authors
2025 J jnl
Masticatory organ dysfunction recognition based on multimodal information.
Eng. Appl. Artif. Intell.
Urszula Markowska-Kaczmar, Michal Karolewski, Michal Wawrzyniak, Karol Szymonczyk, Joanna Szolomicka, Jakub Pyka, Karol Kulawiec, Aneta Demidas
2024 J jnl
Deep learning for cancer cell detection: do we need dedicated models?
Artif. Intell. Rev.
Michal Karol, Martin Tabakov, Urszula Markowska-Kaczmar, Lukasz Fulawka
2024 — conf
Gradient Overdrive: Avoiding Negative Randomness Effects in Stochastic Gradient Descent.
ACIIDS (Companion 1)
Filip Strzalka, Urszula Markowska-Kaczmar
2021 J jnl
3D robotic navigation using a vision-based deep reinforcement learning model.
Appl. Soft Comput.
Piotr Zielinski, Urszula Markowska-Kaczmar
2021 — conf
Capsule Network Versus Convolutional Neural Network in Image Classification - Comparative Analysis.
ICCS (5)
Ewa Juralewicz, Urszula Markowska-Kaczmar
2021 B conf
Creating herd behavior by virtual agents using neural networks.
KES
Urszula Markowska-Kaczmar, Adrian Slimak
2021 J jnl
Extreme learning machine versus classical feedforward network.
Neural Comput. Appl.
Urszula Markowska-Kaczmar, Michal Kosturek
2021 J jnl
Human flow recognition using deep networks and vision methods.
Eng. Appl. Artif. Intell.
Mateusz Zimoch, Urszula Markowska-Kaczmar
2021 — conf
Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions.
ICCS (2)
Anna Palczewska, Urszula Markowska-Kaczmar
2021 B conf
Utterance Style Transfer Using Deep Models.
KES
Daniel Popek, Urszula Markowska-Kaczmar
2020 J jnl
Comparison of Attention-based Deep Learning Models for EEG Classification.
CoRR
Giulia Cisotto, Alessio Zanga, Joanna Chlebus, Italo Zoppis, Sara Manzoni, Urszula Markowska-Kaczmar
2020 — conf
Inference Ability Assessment of Modified Differential Neural Computer.
ACIIDS (1)
Urszula Markowska-Kaczmar, Grzegorz Kulakowski
2020 J jnl
Markov network versus recurrent neural network in forming herd behavior based on sight and simple sound communication.
Appl. Soft Comput.
Urszula Markowska-Kaczmar, Tomasz Marcinkowski
2018 — conf
American Sign Language Fingerspelling Recognition Using Wide Residual Networks.
ICAISC (1)
Kacper Kania, Urszula Markowska-Kaczmar
2018 C conf
Is Convolutional Network Competitive for Vision Method in the Furniture Dowel Quality Control?
INISTA
Urszula Markowska-Kaczmar, Michal Skiba
2016 C conf
A* Heuristic Based on a Hierarchical Space Model Extracted from Game Replays.
FedCSIS
Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar
2016 C conf
Caption-guided patent image segmentation.
FedCSIS
Urszula Markowska-Kaczmar, Jerzy Sas, Anastasia Moumtzidou
2016 C conf
Employing Game Theory and Computational Intelligence to Find the Optimal Strategy of an Autonomous Underwater Vehicle against a Submarine.
FedCSIS
Bartlomiej Józef Dzienkowski, Christopher Strode, Urszula Markowska-Kaczmar
2015 C conf
A Language-Independent Method for Detection and Correction of Alignment Errors in Parallel Corpora.
NLDB
Katarzyna Nizalowska, Urszula Markowska-Kaczmar
2015 J jnl
Automatic Indication of Heat Loss in Thermograms of Buildings.
Int. J. Comput. Sci. Appl.
Urszula Markowska-Kaczmar, Agnieszka Szymanska, Lukasz Culer
2015 J jnl
Image-based logical document structure recognition.
Pattern Anal. Appl.
Grzegorz Kamola, Michal Spytkowski, Mariusz Paradowski, Urszula Markowska-Kaczmar
2015 C conf
Logical structure recognition of diagram images.
FedCSIS
Jerzy Sas, Urszula Markowska-Kaczmar
2015 J jnl
Spiking neural network vs multilayer perceptron: who is the winner in the racing car computer game.
Soft Comput.
Urszula Markowska-Kaczmar, Mateusz Koldowski
2015 — conf
The Selected Metaheuristics Efficacy Assessment for a Given Class of Problems.
ACIIDS (1)
Urszula Markowska-Kaczmar, Adam Mróz
2014 — conf
Automatic information extraction from heatmaps.
IISA
Urszula Markowska-Kaczmar, Agnieszka Szymanska, Lukasz Culer
2014 — conf
Fast learning method of interval type-2 fuzzy neural networks.
UKCI
Damian Olczyk, Urszula Markowska-Kaczmar
2014 C conf
Indoor head detection and tracking on RGBD images.
FedCSIS
Katarzyna Nizalowska, Lukasz Burdka, Urszula Markowska-Kaczmar
2014 J jnl
Recent Advances in Applied Computational Intelligence.
Appl. Artif. Intell.
Bartosz Krawczyk, Urszula Markowska-Kaczmar, Halina Kwasnicka
2013 — conf
Recognition of Vehicle Motion Patterns in Video Sequences.
ICSS
Bartosz Buczek, Urszula Markowska-Kaczmar
2012 J jnl
Agent Cooperation within Adversarial Teams in Dynamic Environment - Key Issues and Development Trends.
Trans. Comput. Collect. Intell.
Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar
2012 — conf
Information Extraction from Geographical Overview Maps.
ICCCI (1)
Roman Pawlikowski, Krzysztof Ociepa, Urszula Markowska-Kaczmar, Pawel B. Myszkowski
2012 — conf
Plan and Goal Structure Reconstruction: An Automated and Incremental Method Based on Observation of a Single Agent.
CISIM
Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar
2012 J jnl
Similarity-based training set acquisition for continuous handwriting recognition.
Inf. Sci.
Jerzy Sas, Urszula Markowska-Kaczmar
2011 J jnl
Flocking behaviour in simple ecosystems as a result of artificial evolution.
Appl. Soft Comput.
Halina Kwasnicka, Urszula Markowska-Kaczmar, Marcin Mikosik
2011 — conf
Graphical Pattern Identification Inspired by Perception.
ACIIDS (2)
Urszula Markowska-Kaczmar, Adam Rybski
2011 — conf
Similar Image Recognition Inspired by Visual Cortex.
MICAI (2)
Urszula Markowska-Kaczmar, Adam Puchalski
2011 — conf
Towards Automatic Image Annotation Supporting Document Understanding.
HAIS (1)
Urszula Markowska-Kaczmar, Pawel Minda, Krzysztof Ociepa, Dariusz Olszowy, Roman Pawlikowski
2010 — conf
Biologically Inspired Agent System Based on Spiking Neural Network.
KES-AMSTA (2)
Bartlomiej Józef Dzienkowski, Urszula Markowska-Kaczmar
2010 — conf
Emotion-based Image Retrieval - an Artificial Neural Network Approach.
IMCSIT
Katarzyna Agnieszka Olkiewicz, Urszula Markowska-Kaczmar
2010 — ch.
Intelligent Techniques in Personalization of Learning in e-Learning Systems.
Computational Intelligence for Technology Enhanced Learning
Urszula Markowska-Kaczmar, Halina Kwasnicka, Mariusz Paradowski
2010 — conf
The Influence of Using Design Patterns on the Process of Implementing Genetic Algorithms.
IEA/AIE (2)
Urszula Markowska-Kaczmar, Filip Krygowski
2009 — conf
Capillary Abnormalities Detection Using Vessel Thickness and Curvature Analysis.
KES (2)
Mariusz Paradowski, Urszula Markowska-Kaczmar, Halina Kwasnicka, Krzysztof Borysewicz
2009 — conf
Combined Unsupervised-Supervised Classification Method.
KES (2)
Urszula Markowska-Kaczmar, Tomasz Switek
2009 — conf
Kohonen's neural network and evolutionary algorithms in searching for financial investment strategy.
IMCSIT
Urszula Markowska-Kaczmar, Krzysztof Rosól
2009 — conf
Localization of cancerous changes in images of breast tissue.
IMCSIT
Urszula Markowska-Kaczmar, Norbert Kosmal, Piotr Orzechowski, Pawel Iwaszko, M. Baranczyk, Kazimierz Orzechowski
2008 — conf
Data Mining Techniques in e-Learning CelGrid System.
CISIM
Pawel B. Myszkowski, Halina Kwasnicka, Urszula Markowska-Kaczmar
2008 — conf
Discovery of technical analysis patterns.
IMCSIT
Urszula Markowska-Kaczmar, Maciej Dziedzic
2008 Misc conf
Evaluation of Subspace Clustering Quality.
HAIS
Urszula Markowska-Kaczmar, Arletta Hurej
2008 — ch.
Evolutionary Approaches to Rule Extraction from Neural Networks.
Engineering Evolutionary Intelligent Systems
Urszula Markowska-Kaczmar
2008 — conf
Extraction of Emotional Content from Music Data.
CISIM
Marcin Bartoszewski, Halina Kwasnicka, Urszula Markowska-Kaczmar, Pawel B. Myszkowski
2008 Misc conf
Genetic Algorithm as a Tool for Stock Market Modelling.
ICAISC
Urszula Markowska-Kaczmar, Halina Kwasnicka, Marcin Szczepkowski
2008 — conf
Learning Assistant - Personalizing Learning Paths in e-Learning Environments.
CISIM
Halina Kwasnicka, Dorota Szul, Urszula Markowska-Kaczmar, Pawel B. Myszkowski
2008 J jnl
Multi-class iteratively refined negative selection classifier.
Appl. Soft Comput.
Urszula Markowska-Kaczmar, Bartosz Kordas
2007 — conf
Semi-Supervised Handwritten Word Segmentation Using Character Samples Similarity Maximization and Evolutionary Algorithm.
CISIM
Jerzy Sas, Urszula Markowska-Kaczmar
2007 C conf
Semi-automatic Training Sets Acquisition for Handwriting Recognition.
CAIP
Jerzy Sas, Urszula Markowska-Kaczmar
2006 Misc conf
Creativity of Neural Networks.
ICAISC
Urszula Markowska-Kaczmar, Katarzyna Czeczot
2006 A* conf
Experimental Study of Evolutionary Based Method of Rule Extraction from Neural Networks in Medical Data.
ICDM
Urszula Markowska-Kaczmar, Rafal Matkowski
2006 — ch.
GA-Based Pareto Optimization for Rule Extraction from Neural Networks.
Multi-Objective Machine Learning
Urszula Markowska-Kaczmar, Krystyna Mularczyk
2006 — conf
IBUSCA: A Grid-based Bottom-up Subspace Clustering Algorithm.
ISDA (1)
Michal Glomba, Urszula Markowska-Kaczmar
2006 J jnl
Mining of an electrocardiogram.
Ann. UMCS Informatica
Urszula Markowska-Kaczmar, Bartosz Kordas
2006 — conf
Negative Selection based method for Multi-Class problem classification.
ISDA (2)
Urszula Markowska-Kaczmar, Bartosz Kordas
2006 — conf
Performance Evaluation of Different Kohenen Network Parallelization Techniques.
PARELEC
Jan Kwiatkowski, Marcin Pawlik, Urszula Markowska-Kaczmar, Dariusz Konieczny
2006 J jnl
Rule extraction from a neural network by hierarchical multiobjective genetic algorithm.
Ann. UMCS Informatica
Urszula Markowska-Kaczmar, Krystyna Mularczyk
2006 J jnl
Visualization as a method for relationship discovery in data Halina.
Ann. UMCS Informatica
Halina Kwasnicka, Urszula Markowska-Kaczmar, Jacek Tomasiak
2005 J jnl
Fuzzy logic and evolutionary algorithm - two techniques in rule extraction from neural networks.
Neurocomputing
Urszula Markowska-Kaczmar, Wojciech Trelak
2005 C conf
Support Vector Machines in Handwritten Digits Classification.
ISDA
Urszula Markowska-Kaczmar, Pawel Kubacki
2005 C conf
The Influence of Parameters in Evolutionary Based Rule Extraction Method from Neural Network.
ISDA
Urszula Markowska-Kaczmar
2004 J jnl
Discovering the Mysteries of Neural Networks.
Int. J. Hybrid Intell. Syst.
Urszula Markowska-Kaczmar, Marcin Chumieja
2004 Misc conf
Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization.
ICAISC
Urszula Markowska-Kaczmar, Pawel Wnuk-Lipinski
2003 B conf
Extraction of fuzzy rules from trained neural network using evolutionary algorithm.
ESANN
Urszula Markowska-Kaczmar, Wojciech Trelak
2003 C conf
Opening Neural Network Black Box by Evolutionary Approach.
HIS
Urszula Markowska-Kaczmar, Marcin Chumieja