Piotr A. Kowalski

发表

Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure

Piotr A. Kowalski, Maciej Kusy, Maciej Kusy, 2018, Comput. Intell..

Data clustering with grasshopper optimization algorithm

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).

Clustering with nature-inspired metaheuristics

Piotr A. Kowalski, Szymon Łukasik, Szymon Łukasik, 2020 .

Training Neural Networks with Krill Herd Algorithm

Piotr A. Kowalski, Szymon Lukasik, Szymon Łukasik, 2015, Neural Processing Letters.

Aplikacje RIA w systemach CMS oraz e-commerce

Piotr A. Kowalski, M. Łoza, 2012 .

Clustering using flower pollination algorithm and Calinski-Harabasz index

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Modification of the probabilistic neural network with the use of sensitivity analysis procedure

Piotr A. Kowalski, Maciej Kusy, Maciej Kusy, 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).

Fuzzy Models Synthesis with Kernel-Density-Based Clustering Algorithm

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.

An evaluation of utilizing geometric features for wheat grain classification using X-ray images

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2018, Comput. Electron. Agric..

Neural Classification for Interval Information

Piotr A. Kowalski, Piotr Kulczycki, P. Kulczycki, 2014, AIMSA.

Probabilistic Neural Network - parameters adjustment in classification task

Piotr A. Kowalski, Maciej Kusy, Szymon Lukasik, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Soft time-suboptimal controlling structure for mechanical systems

Rafael Wisniewski, Piotr A. Kowalski, Piotr Kulczycki, 2004, Proceedings of the Fourth International Workshop on Robot Motion and Control (IEEE Cat. No.04EX891).

An Algorithm of Classification for Nonstationary Case

Piotr A. Kowalski, Piotr Kulczycki, 2013, MICAI.

Hard and soft sub-time-optimal controllers for a mechanical system with uncertain mass

Rafael Wisniewski, Piotr A. Kowalski, Piotr Kulczycki, 2004 .

Triggering Probabilistic Neural Networks with Flower Pollination Algorithm

Piotr A. Kowalski, Konrad Wadas, Konrad Wadas, 2019, Computational Intelligence and Mathematics for Tackling Complex Problems.

Identification of atypical (rare) elements - a conditional, distribution-free approach

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2018, IMA J. Math. Control. Inf..

Fully informed swarm optimization algorithms: Basic concepts, variants and experimental evaluation

Piotr A. Kowalski, Szymon Lukasik, S. Lukasik, 2014, 2014 Federated Conference on Computer Science and Information Systems.

Determining the significance of features with the use of Sobol method in probabilistic neural network classification tasks

Piotr A. Kowalski, Maciej Kusy, Maciej Kusy, 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).

Survey of Object-Based Data Reduction Techniques in Observational Astronomy

Piotr A. Kowalski, Rita Almeida Ribeiro, Rita A. Ribeiro, 2016 .

Preface to Special Issue on Recent Advances in Machine Learning and its Applications

Piotr A. Kowalski, Szymon Łukasik, Piotr Kulczycki, 2020 .

Hard and Soft Sub-Time-Optimal Robust Controllers

Piotr A. Kowalski, Piotr Kulczycki, Rafal Wisniewski, 2010 .

Nature Inspired Clustering - Use Cases of Krill Herd Algorithm and Flower Pollination Algorithm

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2018, Interactions Between Computational Intelligence and Mathematics.

A Complete Algorithm for the Reduction of Pattern Data in the Classification of Interval Information

Piotr A. Kowalski, Piotr Kulczycki, 2016 .

Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors

Piotr A. Kowalski, Piotr Kulczycki, Szymon Lukasik, 2019, Int. J. Appl. Math. Comput. Sci..

Clustering based on the Krill Herd Algorithm with selected validity measures

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).

Sensitivity Analysis for Probabilistic Neural Network Structure Reduction

Piotr A. Kowalski, Maciej Kusy, Maciej Kusy, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Atypical (Rare) Elements Detection - A Conditional Nonparametric Approach

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2016, CompIMAGE.

The column-oriented database partitioning optimization based on the natural computing algorithms

Piotr A. Kowalski, Piotr Kulczycki, Artur Nowosielski, 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

Application of the Flower Pollination Algorithm in the Analysis of Micro-CT Scans

Piotr A. Kowalski, Piotr Kulczycki, Szymon Łukasik, 2018, Trends in Mathematics and Computational Intelligence.

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 Łukasik, 2019 .

Optimizing Clustering with Cuttlefish Algorithm

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2018, Advances in Intelligent Systems and Computing.

Experimental Study of Selected Parameters of the Krill Herd Algorithm

Piotr A. Kowalski, Szymon Lukasik, S. Lukasik, 2014, IEEE Conf. on Intelligent Systems.

A database performance polynomial multiple regression model

Piotr A. Kowalski, Piotr Kulczycki, Artur Nowosielski, 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).

Evolutionary Strategy for the Fuzzy Flip-Flop Neural Networks Supervised Learning Procedure

Piotr A. Kowalski, 2013, ICAISC.

Efficient Astronomical Data Condensation Using Fast Nearest Neighbors Search

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2018 .

Doctoral symposium on recent advances in information technology

László T. Kóczy, Radko Mesiar, Nicolas Courty, 2013, FedCSIS 2013.

Computational modelling of cormorant swarm

Piotr A. Kowalski, J. Kempter, Natalia Adamkowska, 2017, Ecol. Informatics.

The column-oriented data store performance considerations

Piotr A. Kowalski, Piotr Kulczycki, Artur Nowosielski, 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).

On the use of nature inspired metaheuristic in computer game

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).

Data Sample Reduction for Classification of Interval Information Using Neural Network Sensitivity Analysis

Piotr A. Kowalski, Piotr Kulczycki, P. Kulczycki, 2010, AIMSA.

Special section on recent advances in information technology

Piotr A. Kowalski, Szymon Łukasik, 2018 .

PM10 forecasting through applying convolution neural network techniques

Piotr A. Kowalski, Wiktor Warchalowski, Kasper Sapała, 2019 .

Implementacja gry Pong w układzie programowalnym FPGA

Piotr A. Kowalski, W. Biduś, D. Dusik, 2012 .

Discrimination of Wheat Grain Varieties Using X-Ray Images

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2016, ITIB.

Image Enhancement with Applications in Biomedical Processing

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2018 .

Preface to Special Issue on Contemporary Problems of Computer Science, Physics and Applied Mathematics

Piotr A. Kowalski, Szymon Łukasik, Piotr Kulczycki, 2019 .

Interval probabilistic neural network

Piotr A. Kowalski, Piotr Kulczycki, P. Kulczycki, 2015, Neural Computing and Applications.

Bayesian Classification of Interval-Type Information

Piotr A. Kowalski, Piotr Kulczycki, 2014 .

Exemplary Applications of the Complete Gradient Clustering Algorithm in Bioinformatics, Management and Engineering

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2014 .

Weighted probabilistic neural network

Piotr A. Kowalski, Maciej Kusy, Maciej Kusy, 2018, Inf. Sci..

Classification of Interval Information with Data Drift

Piotr A. Kowalski, Piotr Kulczycki, 2015, CONTEXT.

Study of Flower Pollination Algorithm for Continuous Optimization

Piotr A. Kowalski, Szymon Lukasik, 2014, IEEE Conf. on Intelligent Systems.

Flattening Layer Pruning in Convolutional Neural Networks

Piotr A. Kowalski, Ernest Jeczmionek, Ernest Jeczmionek, 2021, Symmetry.

Algorithms for Triggering General Regression Neural Network

Piotr A. Kowalski, Maciej Kusy, Maciej Kusy, 2021, Studies in Computational Intelligence.

Preface to Special Issue on Recent Advances in Information Technology III

Piotr A. Kowalski, Szymon Lukasik, 2021, J. Autom. Mob. Robotics Intell. Syst..

Detection of Fraudulent Credit Card Transactions by Computational Intelligence Models as a Tool in Digital Forensics

Piotr A. Kowalski, Maciej Kusy, 2021, Studies in Computational Intelligence.

Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions

Piotr A. Kowalski, Amir H. Gandomi, Szymon Lukasik, 2021, ICCS.

The Complete Gradient Clustering Algorithm: properties in practical applications

Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki, 2012 .

Bayes classification of imprecise information of interval type

Piotr A. Kowalski, P. Kulczycki, 2011 .

Complete Gradient Clustering Algorithm for Features Analysis of X-Ray Images

Piotr A. Kowalski, P. Kulczycki, M. Charytanowicz, 2010 .

Bayes Classification for Nonstationary Patterns

Piotr A. Kowalski, P. Kulczycki, 2015 .

Data-Driven Fuzzy Modeling and Control with Kernel Density Based Clustering Technique

Piotr A. Kowalski, Piotr Kulczycki, Szymon Łukasik, 2008 .

Methods of Collective Intelligence in Exploratory Data Analysis: A Research Survey

Piotr A. Kowalski, Piotr Kulczycki, P. Kulczycki, 2017 .

PM10 forecasting through applying convolution neural network techniques

Piotr A. Kowalski, Kasper Sapała, Wiktor Warchałowski, 2019, International Journal of Environmental Impacts: Management, Mitigation and Recovery.

Input reduction of convolutional neural networks with global sensitivity analysis as a data-centric approach

Piotr A. Kowalski, Ernest Jeczmionek, 2022, Neurocomputing.

Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms

Piotr A. Kowalski, Maciej Kusy, 2022, Appl. Soft Comput..

Deep Learning for Porous Media Classification Based on Micro-CT Images

Piotr A. Kowalski, P. Kulczycki, M. Charytanowicz, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Machine learning techniques for explaining air pollution prediction

Piotr A. Kowalski, Marcin Szwagrzyk, Maciej Kusy, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Numerical modelling of the population of grey seal (Halichoerus grypus) from the Baltic Sea in the context of reduction of damage to fishing economy

Piotr A. Kowalski, J. Kielpinska, 2021 .

Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland

Piotr A. Kowalski, Marcin Szwagrzyk, Maciej Kusy, 2021, Ecological Informatics.

Parallel complete gradient clustering algorithm and its properties

Piotr A. Kowalski, Ernest Jeczmionek, 2022, Inf. Sci..

Clustering with Nature-Inspired Algorithm Based on Territorial Behavior of Predatory Animals

Piotr A. Kowalski, S. Lukasik, Maciej Trzcinski, 2022, Algorithms.

Feature selection for regression tasks base on explainable artificial intelligence procedures

Piotr A. Kowalski, Maciej Walczak, 2023, IEEE International Joint Conference on Neural Network.

Saturation in Fuzzy Flip-Flop Neural Networks

Piotr A. Kowalski, T. Słoczyński, 2022, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks

Piotr A. Kowalski, T. Słoczyński, 2021, International Journal of Applied Mathematics and Computer Sciences.

Training Neural Networks with Krill Herd Algorithm

Piotr A. Kowalski, S. Lukasik, 2016, Neural Processing Letters.