Neural network for estimating conditional distributions. - Henrik Schiøler; Piotr Kulczycki (IEEE Trans. Neural Networks, 1997)

Fuzzy controller for mechanical systems. - Piotr Kulczycki (IEEE Trans. Fuzzy Syst., 2000)

Fuzzy controller for a system with uncertain load. - Piotr Kulczycki; Rafael Wisniewski (Fuzzy Sets Syst., 2002)

Statistical inference for fault detection: a complete algorithm based on kernel estimators. - Piotr Kulczycki (Kybernetika, 2002)

Rotational motion control of a spacecraft. - Rafal Wisniewski; Piotr Kulczycki (IEEE Trans. Autom. Control., 2003)

Kernel estimators for analysis of systems with fuzzy uncertainties. - Piotr Kulczycki (FUZZ-IEEE, 2004)

Soft time-suboptimal controlling structure for mechanical systems. - Piotr Kulczycki; Rafael Wisniewski; Piotr A. Kowalski; Karol Krawiec (RoMoCo, 2004)

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)

Kernel Estimators in Industrial Applications. - Piotr Kulczycki (Soft Computing Applications in Industry, 2008)

Data Sample Reduction for Classification of Interval Information Using Neural Network Sensitivity Analysis. - Piotr A. Kowalski; Piotr Kulczycki (AIMSA, 2010)

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

An Algorithm for Sample and Data Dimensionality Reduction Using Fast Simulated Annealing. - Szymon Lukasik; Piotr Kulczycki (ADMA (1), 2011)

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)

Using Topology Preservation Measures for Multidimensional Intelligent Data Analysis in the Reduced Feature Space. - Szymon Lukasik; Piotr Kulczycki (ICAISC (2), 2013)

An Algorithm of Classification for Nonstationary Case. - Piotr Kulczycki; Piotr Andrzej Kowalski (MICAI (2), 2013)

Neural Classification for Interval Information. - Piotr A. Kowalski; Piotr Kulczycki (AIMSA, 2014)

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)

An algorithm for reducing the dimension and size of a sample for data exploration procedures. - Piotr Kulczycki; Szymon Lukasik (Int. J. Appl. Math. Comput. Sci., 2014)

Classification of Interval Information with Data Drift. - Piotr Kulczycki; Piotr A. Kowalski (CONTEXT, 2015)

The column-oriented database partitioning optimization based on the natural computing algorithms. - Artur Nowosielski; Piotr A. Kowalski; Piotr Kulczycki (FedCSIS, 2015)

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)

The Column-oriented Data Store Performance Considerations. - Artur Nowosielski; Piotr Andrzej Kowalski; 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)

A Database Performance Polynomial Multiple Regression Model. - Artur Nowosielski; Piotr Andrzej Kowalski; Piotr Kulczycki (FedCSIS, 2017)

Detection of atypical elements with fuzzy and intuitionistic fuzzy evaluations. - Piotr Kulczycki; Damian Kruszewski (KKA, 2017)

Detection of Atypical Elements by Transforming Task to Supervised Form. - Piotr Kulczycki; Damian Kruszewski (PReMI, 2017)

Identification of atypical elements by transforming task to supervised form with fuzzy and intuitionistic fuzzy evaluations. - Piotr Kulczycki; Damian Kruszewski (Appl. Soft Comput., 2017)

Interval probabilistic neural network. - Piotr A. Kowalski; Piotr Kulczycki (Neural Comput. Appl., 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)

Ensembling a Linear Eegression model with an error Mitigation Component. - Artur Nowosielski; Piotr A. Kowalski; Piotr Kulczycki (J. Autom. Mob. Robotics Intell. Syst., 2018)

Detection of Rare Elements in Investigation of Medical Problems. - Piotr Kulczycki; Damian Kruszewski (ACIIDS (1), 2019)

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)

Preface to Special Issue on Contemporary Problems of Computer Science, Physics and Applied Mathematics. - Piotr A. Kowalski; Szymon Lukasik; Piotr Kulczycki (J. Autom. Mob. Robotics Intell. Syst., 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)

Outlier Detection, Clustering, and Classification - Methodologically Unified Procedures for Conditional Approach. - Piotr Kulczycki; Krystian Franus (ICCCI, 2020)

Preface to Special Issue on Recent Advances in Machine Learning and its Applications. - Piotr A. Kowalski; Szymon Lukasik; Piotr Kulczycki (J. Autom. Mob. Robotics Intell. Syst., 2020)

Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods. - Grzegorz Golaszewski; Piotr Kulczycki; Tomasz Szumlak; Szymon Lukasik (ICCS (1), 2021)

Predicted Distribution Density Estimation for Streaming Data. - Piotr Kulczycki; Tomasz Rybotycki (ICCS (6), 2021)

Methodically unified procedures for a conditional approach to outlier detection, clustering, and classification. - Piotr Kulczycki; Krystian Franus (Inf. Sci., 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)

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)

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)

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

Design and implementation of a novel approach for long-lived particle reconstruction in LHCb experiment at CERN. - Piotr Kulczycki; Grzegorz Golaszewski; Tomasz Szumlak; Szymon Lukasik (Comput. Phys. Commun., 2025)