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)

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

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

Evolutionary Strategy for the Fuzzy Flip-Flop Neural Networks Supervised Learning Procedure. - Piotr A. Kowalski (ICAISC (1), 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)

Fully Informed Swarm Optimization Algorithms: Basic Concepts, Variants and Experimental Evaluation. - Szymon Lukasik; Piotr Andrzej Kowalski (FedCSIS, 2014)

Experimental Study of Selected Parameters of the Krill Herd Algorithm. - Piotr A. Kowalski; Szymon Lukasik (IEEE Conf. on Intelligent Systems (1), 2014)

Study of Flower Pollination Algorithm for Continuous Optimization. - Szymon Lukasik; Piotr A. Kowalski (IEEE Conf. on Intelligent Systems (1), 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)

Modification of the Probabilistic Neural Network with the Use of Sensitivity Analysis Procedure. - Maciej Kusy; Piotr Andrzej Kowalski (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)

Training Neural Networks with Krill Herd Algorithm. - Piotr A. Kowalski; Szymon Lukasik (Neural Process. Lett., 2016)

Determining the significance of features with the use of Sobol' method in probabilistic neural network classification tasks. - Piotr Andrzej Kowalski; Maciej Kusy (FedCSIS, 2017)

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)

Computational modelling of cormorant swarm. - Jolanta Kempter; Piotr A. Kowalski; Natalia Adamkowska (Ecol. Informatics, 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)

Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure. - Piotr A. Kowalski; Maciej Kusy (Comput. Intell., 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)

Weighted probabilistic neural network. - Maciej Kusy; Piotr A. Kowalski (Inf. Sci., 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)

Sensitivity Analysis for Probabilistic Neural Network Structure Reduction. - Piotr A. Kowalski; Maciej Kusy (IEEE Trans. Neural Networks Learn. Syst., 2018)

Crow Search Algorithm for Continuous Optimization Tasks. - Piotr A. Kowalski; Krystian Franus; Szymon Lukasik (CoDIT, 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 of the Journal of Automation, Mobile Robotics and Intelligent Systems on Recent Advances in Information Technology II. - Piotr A. Kowalski; Szymon Lukasik (J. Autom. Mob. Robotics Intell. Syst., 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)

Probabilistic Neural Network - parameters adjustment in classification task. - Piotr A. Kowalski; Maciej Kusy; Szymon Kubasiak; Szymon Lukasik (IJCNN, 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)

Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions. - Szymon Lukasik; Andrzej Michalowski; Piotr A. Kowalski; Amir H. Gandomi (ICCS (2), 2021)

A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks. - Piotr A. Kowalski; Tomasz Sloczynski (Int. J. Appl. Math. Comput. Sci., 2021)

Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland. - Piotr Andrzej Kowalski; Marcin Szwagrzyk; Jolanta Kielpinska; Aleksander Konior; Maciej Kusy (Ecol. Informatics, 2021)

Preface to Special Issue on Recent Advances in Information Technology III. - Piotr A. Kowalski; Szymon Lukasik (J. Autom. Mob. Robotics Intell. Syst., 2021)

Flattening Layer Pruning in Convolutional Neural Networks. - Ernest Jeczmionek; Piotr A. Kowalski (Symmetry, 2021)

Saturation in Fuzzy Flip-Flop Neural Networks. - Piotr A. Kowalski; Tomasz Sloczynski (FUZZ-IEEE, 2022)

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 techniques for explaining air pollution prediction. - Maciej Kusy; Piotr A. Kowalski; Marcin Szwagrzyk; Aleksander Konior (IJCNN, 2022)

Clustering with Nature-Inspired Algorithm Based on Territorial Behavior of Predatory Animals. - Maciej Trzcinski; Piotr A. Kowalski; Szymon Lukasik (Algorithms, 2022)

Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms. - Maciej Kusy; Piotr A. Kowalski (Appl. Soft Comput., 2022)

Input reduction of convolutional neural networks with global sensitivity analysis as a data-centric approach. - Ernest Jeczmionek; Piotr A. Kowalski (Neurocomputing, 2022)

Parallel complete gradient clustering algorithm and its properties. - Piotr A. Kowalski; Ernest Jeczmionek (Inf. Sci., 2022)

A New Particle Swarm Optimisation Based Memetic Procedure for Fuzzy J-K Flop Neural Networks Learning. - Piotr A. Kowalski; Tomasz Sloczynski (FUZZ, 2023)

Feature selection for regression tasks base on explainable artificial intelligence procedures. - Piotr A. Kowalski; Maciej Walczak (IJCNN, 2023)

Choice of the p-norm for high level classification features pruning in modern convolutional neural networks with local sensitivity analysis. - Ernest Jeczmionek; Piotr A. Kowalski (Int. J. Appl. Math. Comput. Sci., 2023)

The forensic information identification based on machine learning algorithms. - Piotr A. Kowalski; Maciej Kusy; Karol Kocierz (Forensic Sci. Int. Digit. Investig., 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)

Mitigating Saturation in Fuzzy-Flip-Flop Neural Networks Trained with Memetic PSO Algorithm. - Piotr A. Kowalski; Tomasz Sloczynski (FUZZ, 2024)

Optimisation of the adaptive neuro-fuzzy inference system for adjusting low-cost sensors PM concentrations. - Martina Casari; Piotr A. Kowalski; Laura Po (Ecol. Informatics, 2024)

Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks learning. - Piotr A. Kowalski; Szymon Kucharczyk; Jacek Mandziuk (Inf. Sci., 2025)