Piotr A. Kowalski

50 papers B 6C 2Misc 2Journal 27Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Constrained Hybrid Metaheuristic: A Universal Framework for Continuous Optimisation.
CoRR
Piotr A. Kowalski, Szymon Kucharczyk, Jacek Mandziuk
2026 J jnl
Explainable AI for rule reduction in fuzzy models for air pollution measurement adjustment.
Environ. Model. Softw.
Piotr A. Kowalski, Martina Casari, Laura Po
2025 J jnl
Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning.
CoRR
Piotr A. Kowalski, Szymon Kucharczyk, Jacek Mandziuk
2025 J jnl
Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks learning.
Inf. Sci.
Piotr A. Kowalski, Szymon Kucharczyk, Jacek Mandziuk
2024 — conf
Classification of Wheat Species Using Convolutional Neural Networks: A Comparative Study.
FABULOUS
Piotr A. Kowalski, Ernest Jeczmionek, Malgorzata Charytanowicz, Szymon Lukasik, Jerzy Niewczas, Piotr Kulczycki
2024 — conf
Mitigating Saturation in Fuzzy-Flip-Flop Neural Networks Trained with Memetic PSO Algorithm.
FUZZ
Piotr A. Kowalski, Tomasz Sloczynski
2024 J jnl
Optimisation of the adaptive neuro-fuzzy inference system for adjusting low-cost sensors PM concentrations.
Ecol. Informatics
Martina Casari, Piotr A. Kowalski, Laura Po
2023 — conf
A New Particle Swarm Optimisation Based Memetic Procedure for Fuzzy J-K Flop Neural Networks Learning.
FUZZ
Piotr A. Kowalski, Tomasz Sloczynski
2023 J jnl
Choice of the
Int. J. Appl. Math. Comput. Sci.
Ernest Jeczmionek, Piotr A. Kowalski
2023 B conf
Feature selection for regression tasks base on explainable artificial intelligence procedures.
IJCNN
Piotr A. Kowalski, Maciej Walczak
2023 J jnl
The forensic information identification based on machine learning algorithms.
Forensic Sci. Int. Digit. Investig.
Piotr A. Kowalski, Maciej Kusy, Karol Kocierz
2022 J jnl
Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms.
Appl. Soft Comput.
Maciej Kusy, Piotr A. Kowalski
2022 J jnl
Clustering with Nature-Inspired Algorithm Based on Territorial Behavior of Predatory Animals.
Algorithms
Maciej Trzcinski, Piotr A. Kowalski, Szymon Lukasik
2022 B conf
Deep Learning for Porous Media Classification Based on Micro-CT Images.
IJCNN
Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki, Henryk Czachor
2022 J jnl
Input reduction of convolutional neural networks with global sensitivity analysis as a data-centric approach.
Neurocomputing
Ernest Jeczmionek, Piotr A. Kowalski
2022 B conf
Machine learning techniques for explaining air pollution prediction.
IJCNN
Maciej Kusy, Piotr A. Kowalski, Marcin Szwagrzyk, Aleksander Konior
2022 J jnl
Parallel complete gradient clustering algorithm and its properties.
Inf. Sci.
Piotr A. Kowalski, Ernest Jeczmionek
2022 B conf
Saturation in Fuzzy Flip-Flop Neural Networks.
FUZZ-IEEE
Piotr A. Kowalski, Tomasz Sloczynski
2021 J jnl
A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks.
Int. J. Appl. Math. Comput. Sci.
Piotr A. Kowalski, Tomasz Sloczynski
2021 J jnl
Flattening Layer Pruning in Convolutional Neural Networks.
Symmetry
Ernest Jeczmionek, Piotr A. Kowalski
2021 J jnl
Preface to Special Issue on Recent Advances in Information Technology III.
J. Autom. Mob. Robotics Intell. Syst.
Piotr A. Kowalski, Szymon Lukasik
2021 — conf
Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions.
ICCS (2)
Szymon Lukasik, Andrzej Michalowski, Piotr A. Kowalski, Amir H. Gandomi
2020 J jnl
Preface to Special Issue on Recent Advances in Machine Learning and its Applications.
J. Autom. Mob. Robotics Intell. Syst.
Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki
2020 B conf
Probabilistic Neural Network - parameters adjustment in classification task.
IJCNN
Piotr A. Kowalski, Maciej Kusy, Szymon Kubasiak, Szymon Lukasik
2019 C conf
Crow Search Algorithm for Continuous Optimization Tasks.
CoDIT
Piotr A. Kowalski, Krystian Franus, Szymon Lukasik
2019 J jnl
Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors.
Int. J. Appl. Math. Comput. Sci.
Szymon Lukasik, Konrad Lalik, Piotr Sarna, Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki
2019 — ch.
Nature Inspired Clustering - Use Cases of Krill Herd Algorithm and Flower Pollination Algorithm.
Interactions Between Computational Intelligence and Mathematics (2)
Piotr A. Kowalski, Szymon Lukasik, Malgorzata Charytanowicz, Piotr Kulczycki
2019 J jnl
Preface to Special Issue of the Journal of Automation, Mobile Robotics and Intelligent Systems on Recent Advances in Information Technology II.
J. Autom. Mob. Robotics Intell. Syst.
Piotr A. Kowalski, Szymon Lukasik
2019 J jnl
Preface to Special Issue on Contemporary Problems of Computer Science, Physics and Applied Mathematics.
J. Autom. Mob. Robotics Intell. Syst.
Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki
2018 J jnl
An evaluation of utilizing geometric features for wheat grain classification using X-ray images.
Comput. Electron. Agric.
Malgorzata Charytanowicz, Piotr Kulczycki, Piotr A. Kowalski, Szymon Lukasik, Róza Czabak-Garbacz
2018 J jnl
Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure.
Comput. Intell.
Piotr A. Kowalski, Maciej Kusy
2018 J jnl
Ensembling a Linear Eegression model with an error Mitigation Component.
J. Autom. Mob. Robotics Intell. Syst.
Artur Nowosielski, Piotr A. Kowalski, Piotr Kulczycki
2018 J jnl
Identification of atypical (rare) elements - a conditional, distribution-free approach.
IMA J. Math. Control. Inf.
Piotr Kulczycki, Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik
2018 J jnl
Sensitivity Analysis for Probabilistic Neural Network Structure Reduction.
IEEE Trans. Neural Networks Learn. Syst.
Piotr A. Kowalski, Maciej Kusy
2018 J jnl
Weighted probabilistic neural network.
Inf. Sci.
Maciej Kusy, Piotr A. Kowalski
2017 J jnl
Computational modelling of cormorant swarm.
Ecol. Informatics
Jolanta Kempter, Piotr A. Kowalski, Natalia Adamkowska
2017 J jnl
Interval probabilistic neural network.
Neural Comput. Appl.
Piotr A. Kowalski, Piotr Kulczycki
2016 — conf
Atypical (Rare) Elements Detection - A Conditional Nonparametric Approach.
CompIMAGE
Piotr Kulczycki, Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik
2016 B conf
Clustering using flower pollination algorithm and Calinski-Harabasz index.
CEC
Szymon Lukasik, Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki
2016 — conf
Discrimination of Wheat Grain Varieties Using X-Ray Images.
ITIB (1)
Malgorzata Charytanowicz, Jerzy Niewczas, Piotr Kulczycki, Piotr A. Kowalski, Szymon Lukasik
2016 J jnl
Training Neural Networks with Krill Herd Algorithm.
Neural Process. Lett.
Piotr A. Kowalski, Szymon Lukasik
2015 — conf
Classification of Interval Information with Data Drift.
CONTEXT
Piotr Kulczycki, Piotr A. Kowalski
2015 C conf
The column-oriented database partitioning optimization based on the natural computing algorithms.
FedCSIS
Artur Nowosielski, Piotr A. Kowalski, Piotr Kulczycki
2014 — conf
Experimental Study of Selected Parameters of the Krill Herd Algorithm.
IEEE Conf. on Intelligent Systems (1)
Piotr A. Kowalski, Szymon Lukasik
2014 Misc conf
Neural Classification for Interval Information.
AIMSA
Piotr A. Kowalski, Piotr Kulczycki
2014 — conf
Study of Flower Pollination Algorithm for Continuous Optimization.
IEEE Conf. on Intelligent Systems (1)
Szymon Lukasik, Piotr A. Kowalski
2013 — conf
Evolutionary Strategy for the Fuzzy Flip-Flop Neural Networks Supervised Learning Procedure.
ICAISC (1)
Piotr A. Kowalski
2010 Misc conf
Data Sample Reduction for Classification of Interval Information Using Neural Network Sensitivity Analysis.
AIMSA
Piotr A. Kowalski, Piotr Kulczycki
2008 — conf
Fuzzy Models Synthesis with Kernel-Density-Based Clustering Algorithm.
FSKD (3)
Szymon Lukasik, Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki
2004 — conf
Soft time-suboptimal controlling structure for mechanical systems.
RoMoCo
Piotr Kulczycki, Rafael Wisniewski, Piotr A. Kowalski, Karol Krawiec