Fuzzy Models Synthesis with Kernel-Density-Based Clustering Algorithm. - Szymon Lukasik; Piotr A. Kowalski; Malgorzata Charytanowicz; Piotr Kulczycki (FSKD (3), 2008)

Asymmetrical Conditional Bayes Parameter Identification for Control Engineering. - Piotr Kulczycki; Malgorzata Charytanowicz (Cybern. Syst., 2008)

Nonparametric Regression for Analyzing Correlation between Medical Parameters. - Malgorzata Charytanowicz; Piotr Kulczycki (Information Technologies in Biomedicine, 2008)

A complete gradient clustering algorithm formed with kernel estimators. - Piotr Kulczycki; Malgorzata Charytanowicz (Int. J. Appl. Math. Comput. Sci., 2010)

A Complete Gradient Clustering Algorithm. - Piotr Kulczycki; Malgorzata Charytanowicz (AICI (3), 2011)

Conditional Parameter Identification with Asymmetrical Losses of Estimation Errors. - Piotr Kulczycki; Malgorzata Charytanowicz (ICCCI (1), 2012)

seeds. - Malgorzata Charytanowicz; Jerzy Niewczas; Piotr Kulczycki; Piotr A. Kowalski; Szymon Lukasik (UCI Machine Learning Repository, 2012)

Conditional Multidimensional Parameter Identification with Asymmetric Correlated Losses of Estimation Errors. - Piotr Kulczycki; Malgorzata Charytanowicz (ICONIP (2), 2014)

An Image Analysis Algorithm for Soil Structure Identification. - Malgorzata Charytanowicz; Piotr Kulczycki (IEEE Conf. on Intelligent Systems (2), 2014)

Clustering using flower pollination algorithm and Calinski-Harabasz index. - Szymon Lukasik; Piotr A. Kowalski; Malgorzata Charytanowicz; Piotr Kulczycki (CEC, 2016)

Atypical (Rare) Elements Detection - A Conditional Nonparametric Approach. - Piotr Kulczycki; Malgorzata Charytanowicz; Piotr A. Kowalski; Szymon Lukasik (CompIMAGE, 2016)

Clustering based on the Krill Herd Algorithm with Selected Validity Measures. - Piotr Andrzej Kowalski; Szymon Lukasik; Malgorzata Charytanowicz; Piotr Kulczycki (FedCSIS, 2016)

Discrimination of Wheat Grain Varieties Using X-Ray Images. - Malgorzata Charytanowicz; Jerzy Niewczas; Piotr Kulczycki; Piotr A. Kowalski; Szymon Lukasik (ITIB (1), 2016)

On the Use of Nature Inspired Metaheuristic in Computer Game. - Piotr Andrzej Kowalski; Szymon Lukasik; Malgorzata Charytanowicz; Piotr Kulczycki (FedCSIS, 2017)

Data Clustering with Grasshopper Optimization Algorithm. - Szymon Lukasik; Piotr Andrzej Kowalski; Malgorzata Charytanowicz; Piotr Kulczycki (FedCSIS, 2017)

An evaluation of utilizing geometric features for wheat grain classification using X-ray images. - Malgorzata Charytanowicz; Piotr Kulczycki; Piotr A. Kowalski; Szymon Lukasik; Róza Czabak-Garbacz (Comput. Electron. Agric., 2018)

Identification of atypical (rare) elements - a conditional, distribution-free approach. - Piotr Kulczycki; Malgorzata Charytanowicz; Piotr A. Kowalski; Szymon Lukasik (IMA J. Math. Control. Inf., 2018)

Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors. - Szymon Lukasik; Konrad Lalik; Piotr Sarna; Piotr A. Kowalski; Malgorzata Charytanowicz; Piotr Kulczycki (Int. J. Appl. Math. Comput. Sci., 2019)

Nature Inspired Clustering - Use Cases of Krill Herd Algorithm and Flower Pollination Algorithm. - Piotr A. Kowalski; Szymon Lukasik; Malgorzata Charytanowicz; Piotr Kulczycki (Interactions Between Computational Intelligence and Mathematics (2), 2019)

Estimation of the Path-Loss Exponent by Bayesian Filtering Method. - Piotr Wojcicki; Tomasz Zientarski; Malgorzata Charytanowicz; Edyta Lukasik (Sensors, 2021)

Deep Learning for Porous Media Classification Based on Micro-CT Images. - Malgorzata Charytanowicz; Piotr A. Kowalski; Szymon Lukasik; Piotr Kulczycki; Henryk Czachor (IJCNN, 2022)

Machine Learning for Energy Load Prediction and its Interpretation. - Malgorzata Charytanowicz; Anna Olwert; Weronika Radziszewska; Jolanta Jarnicka; Krzysztof Gajowniczek; Tomasz S. Zabkowski; Jacek Brozyna; Grzegorz Mentel; Grzegorz Matejko (IS, 2022)

Habitat suitability for wisents in the Carpathians - a model based on presence only data. - Malgorzata Charytanowicz; Kajetan Perzanowski; Maciej Januszczak; Aleksandra Woloszyn-Galeza; Piotr Kulczycki (Ecol. Informatics, 2022)

Explainable Ensemble Machine Learning for Wheat Grain Identification. - Malgorzata Charytanowicz (ICDM (Workshops), 2023)

Online Education vs Traditional Education: Analysis of Student Performance in Computer Science using Shapley Additive Explanations. - Malgorzata Charytanowicz (Informatics Educ., 2023)

Classification of Wheat Species Using Convolutional Neural Networks: A Comparative Study. - Piotr A. Kowalski; Ernest Jeczmionek; Malgorzata Charytanowicz; Szymon Lukasik; Jerzy Niewczas; Piotr Kulczycki (FABULOUS, 2024)

A New Approach Towards Identification of Individuals Belonging to Different Subpopulations Using Machine Learning Models and CLC Data. - Malgorzata Charytanowicz; Kajetan Perzanowski; Maciej Januszczak; Aleksandra Woloszyn-Galeza; Maria Sobczuk; Piotr Kulczycki (ICDM (Workshops), 2024)

Quality of Outlier Detection. - Piotr Kulczycki; Krystian Franus; Malgorzata Charytanowicz (ICIS, 2024)

Characteristics of the Learning Data of a Session-Based Recommendation System and their Impact on the Performance of the System. - Urszula Kuzelewska; Malgorzata Charytanowicz (ISD, 2024)

A quality index for detection of atypical elements (outliers). - Piotr Kulczycki; Krystian Franus; Malgorzata Charytanowicz (Int. J. Appl. Math. Comput. Sci., 2024)