Parallel Computing of Kernel Density Estimates with MPI. - Szymon Lukasik (International Conference on Computational Science (3), 2007)

Parallel Simulated Annealing Algorithm for Graph Coloring Problem. - Szymon Lukasik; Zbigniew Kokosinski; Grzegorz Swieton (PPAM, 2007)

Fuzzy Models Synthesis with Kernel-Density-Based Clustering Algorithm. - Szymon Lukasik; Piotr A. Kowalski; Malgorzata Charytanowicz; Piotr Kulczycki (FSKD (3), 2008)

Firefly Algorithm for Continuous Constrained Optimization Tasks. - Szymon Lukasik; Slawomir Zak (ICCCI, 2009)

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

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)

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)

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)

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)

Discrimination of Wheat Grain Varieties Using X-Ray Images. - Malgorzata Charytanowicz; Jerzy Niewczas; Piotr Kulczycki; Piotr A. Kowalski; Szymon Lukasik (ITIB (1), 2016)

Handling high-dimensional data in air pollution forecasting tasks. - Diana Domanska; Szymon Lukasik (Ecol. Informatics, 2016)

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

Land Cover Classification from Multispectral Data Using Computational Intelligence Tools: A Comparative Study. - André Mora; Tiago M. A. Santos; Szymon Lukasik; João M. N. Silva; António J. Falcão; José Manuel Fonseca; Rita A. Ribeiro (Inf., 2017)

Generating Textual Descriptions for Recommendation Results using Fuzzy Linguistic Summaries. - Szymon Lukasik; Mateusz Smet; Jaroslaw Krolewski (FUZZ-IEEE, 2018)

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)

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)

A deep neural network based classifier for brain tumor diagnosis. - Ambeshwar Kumar; Manikandan Ramachandran; Amir H. Gandomi; Rizwan Patan; Szymon Lukasik; Kattur Soundarapandian Ravichandran (Appl. Soft Comput., 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)

Modeling of Fire Spread Including Different Heat Transfer Mechanisms Using Cellular Automata. - Jaroslaw Was; Artur Karp; Szymon Lukasik; Dariusz Palka (ICCS (1), 2020)

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)

Exploiting flower constancy in flower pollination algorithm: improved biotic flower pollination algorithm and its experimental evaluation. - Pawel Kopciewicz; Szymon Lukasik (Neural Comput. Appl., 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)

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

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

Multilingual Transformers for Product Matching - Experiments and a New Benchmark in Polish. - Michal Mozdzonek; Anna Wróblewska; Sergiy Tkachuk; Szymon Lukasik (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)

Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches. - Maciej Krzywda; Szymon Lukasik; Amir H. Gandomi (IJCNN, 2022)

Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings. - Sergiy Tkachuk; Anna Wróblewska; Jacek Dabrowski 004; Szymon Lukasik (IJCNN, 2022)

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

Synerise Monad: A Foundation Model for Behavioral Event Data. - Barbara Rychalska; Szymon Lukasik; Jacek Dabrowski 004 (SIGIR, 2023)

Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer - Current Trends and Research Perspectives. - Karolina Seweryn; Anna Wróblewska; Szymon Lukasik (CoRR, 2023)

Analyzing the Influence of Language Model-Generated Responses in Mitigating Hate Speech on Social Media Directed at Ukrainian Refugees in Poland. - Jakub Podolak; Szymon Lukasik; Pawel Balawender; Jan Ossowski; Katarzyna Bakowicz; Piotr Sankowski (CoRR, 2023)

Culturally Responsive Artificial Intelligence - Problems, Challenges and Solutions. - Natalia Ozegalska-Lukasik; Szymon Lukasik (CoRR, 2023)

LLM generated responses to mitigate the impact of hate speech. - Jakub Podolak; Szymon Lukasik; Pawel Balawender; Jan Ossowski; Jan Piotrowski; Katarzyna Bakowicz; Piotr Sankowski (EMNLP (Findings), 2024)

Large Language Models as Tuning Agents of Metaheuristics. - Alicja Martinek; Szymon Lukasik; Amir H. Gandomi (ESANN, 2024)

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)

Identification of Proton Exchange Membrane Fuel Cell Parameters Using a Parameterless Swarm Intelligent Algorithm. - Pankaj Sharma; Rohit Salgotra; Sarvanakumar Raju; Szymon Lukasik; Amir H. Gandomi (ICONIP (11), 2024)

Text-Based Product Matching - Semi-Supervised Clustering Approach. - Alicja Martinek; Szymon Lukasik; Amir H. Gandomi (CoRR, 2024)

Consumer Transactions Simulation through Generative Adversarial Networks. - Sergiy Tkachuk; Szymon Lukasik; Anna Wróblewska (CoRR, 2024)

SoccerNet 2024 Challenges Results. - Anthony Cioppa; Silvio Giancola; Vladimir Somers; Victor Joos; Floriane Magera; Jan Held; Seyed Abolfazl Ghasemzadeh; Xin Zhou 024; Karolina Seweryn; Mateusz Kowalczyk; Zuzanna Mróz; Szymon Lukasik; et al. (CoRR, 2024)

Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks. - Maciej Krzywda; Szymon Lukasik; Amir H. Gandomi (CoRR, 2024)

M3A: A multimodal misinformation dataset for media authenticity analysis. - Qingzheng Xu; Huiqiang Chen; Heming Du; Hu Zhang 005; Szymon Lukasik; Tianqing Zhu; Xin Yu 002 (Comput. Vis. Image Underst., 2024)

Optimizing the Structures of Transformer Neural Networks Using Parallel Simulated Annealing. - Maciej Trzcinski; Szymon Lukasik; Amir H. Gandomi (J. Artif. Intell. Soft Comput. Res., 2024)

Multimodal Image-Based Indoor Localization with Machine Learning - A Systematic Review. - Szymon Lukasik; Szymon Szott; Mikolaj Leszczuk (Sensors, 2024)

Improving Object Detection Quality in Football Through Super-Resolution Techniques. - Karolina Seweryn; Gabriel Chec; Szymon Lukasik; Anna Wróblewska (ICCS (1), 2025)

MDAM3: A Misinformation Detection and Analysis Framework for Multitype Multimodal Media. - Qingzheng Xu; Heming Du; Szymon Lukasik; Tianqing Zhu; Sen Wang 001; Xin Yu 002 (WWW, 2025)

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)

Kolmogorov-Arnold networks for metal surface defect classification. - Maciej Krzywda; Mariusz Werminski; Szymon Lukasik; Amir H. Gandomi (CoRR, 2025)

PL-Guard: Benchmarking Language Model Safety for Polish. - Aleksandra Krasnodebska; Karolina Seweryn; Szymon Lukasik; Wojciech Kusa (CoRR, 2025)