Szymon Lukasik

发表

Data clustering with grasshopper optimization algorithm

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

Parallel Computing of Kernel Density Estimates with MPI

Szymon Lukasik, S. Lukasik, 2007, International Conference on Computational Science.

Training Neural Networks with Krill Herd Algorithm

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

Clustering using flower pollination algorithm and Calinski-Harabasz index

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

Using Topology Preservation Measures for Multidimensional Intelligent Data Analysis in the Reduced Feature Space

Piotr Kulczycki, Szymon Lukasik, 2013, ICAISC.

Parallel Simulated Annealing Algorithm for Graph Coloring Problem

Szymon Lukasik, Zbigniew Kokosinski, Grzegorz Swieton, 2007, PPAM.

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..

Land Cover Classification from Multispectral Data Using Computational Intelligence Tools: A Comparative Study

Rita Almeida Ribeiro, José Manuel Fonseca, Szymon Lukasik, 2017, Inf..

Probabilistic Neural Network - parameters adjustment in classification task

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

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.

An algorithm for reducing the dimension and size of a sample for data exploration procedures

Piotr Kulczycki, Szymon Lukasik, P. Kulczycki, 2014, Int. J. Appl. Math. Comput. Sci..

Modeling of Fire Spread Including Different Heat Transfer Mechanisms Using Cellular Automata

Jaroslaw Was, Szymon Lukasik, Artur Karp, 2020, ICCS.

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.

Handling high-dimensional data in air pollution forecasting tasks

Diana Domanska, Szymon Lukasik, D. Domanska, 2016, Ecol. Informatics.

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).

Crow Search Algorithm for Continuous Optimization Tasks

Szymon Lukasik, Krystian Franus, Piotr A. Kowalski, 2019, 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT).

Atypical (Rare) Elements Detection - A Conditional Nonparametric Approach

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

Firefly Algorithm for Continuous Constrained Optimization Tasks

Slawomir Zak, Szymon Lukasik, S. Lukasik, 2009, ICCCI.

Experimental Study of Selected Parameters of the Krill Herd Algorithm

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

Doctoral symposium on recent advances in information technology

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

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).

Discrimination of Wheat Grain Varieties Using X-Ray Images

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

A deep neural network based classifier for brain tumor diagnosis

K. S. Ravichandran, Amir H. Gandomi, Kattur Soundarapandian Ravichandran, 2019, Appl. Soft Comput..

Generating Textual Descriptions for Recommendation Results using Fuzzy Linguistic Summaries

Szymon Lukasik, Mateusz Smet, Jaroslaw Krolewski, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

An Algorithm for Sample and Data Dimensionality Reduction Using Fast Simulated Annealing

Piotr Kulczycki, Szymon Lukasik, P. Kulczycki, 2011, ADMA.

Study of Flower Pollination Algorithm for Continuous Optimization

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

Preface to Special Issue on Recent Advances in Information Technology III

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

Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods

Piotr Kulczycki, Szymon Lukasik, Grzegorz Golaszewski, 2021, ICCS.

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 .