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Szymon Lukasik
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Journal Articles
- 2024
- [j15]Maciej Trzcinski, Szymon Lukasik, Amir H. Gandomi:
Optimizing the Structures of Transformer Neural Networks Using Parallel Simulated Annealing. J. Artif. Intell. Soft Comput. Res. 14(3): 267-282 (2024) - 2022
- [j14]Maciej Trzcinski, Piotr A. Kowalski, Szymon Lukasik:
Clustering with Nature-Inspired Algorithm Based on Territorial Behavior of Predatory Animals. Algorithms 15(2): 43 (2022) - 2021
- [j13]Piotr A. Kowalski, Szymon Lukasik:
Preface to Special Issue on Recent Advances in Information Technology III. J. Autom. Mob. Robotics Intell. Syst. 14(3): 18-19 (2021) - 2020
- [j12]Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki:
Preface to Special Issue on Recent Advances in Machine Learning and its Applications. J. Autom. Mob. Robotics Intell. Syst. 14(2): 30-31 (2020) - [j11]Pawel Kopciewicz, Szymon Lukasik:
Exploiting flower constancy in flower pollination algorithm: improved biotic flower pollination algorithm and its experimental evaluation. Neural Comput. Appl. 32(16): 11999-12010 (2020) - 2019
- [j10]Szymon Lukasik, Konrad Lalik, Piotr Sarna, Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki:
Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors. Int. J. Appl. Math. Comput. Sci. 29(3): 467-476 (2019) - [j9]Ambeshwar Kumar, Manikandan Ramachandran, Amir H. Gandomi, Rizwan Patan, Szymon Lukasik, Kattur Soundarapandian Ravichandran:
A deep neural network based classifier for brain tumor diagnosis. Appl. Soft Comput. 82 (2019) - [j8]Piotr A. Kowalski, Szymon Lukasik:
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. 13(1): 71-72 (2019) - [j7]Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki:
Preface to Special Issue on Contemporary Problems of Computer Science, Physics and Applied Mathematics. J. Autom. Mob. Robotics Intell. Syst. 13(3): 39-40 (2019) - 2018
- [j6]Malgorzata Charytanowicz, Piotr Kulczycki, Piotr A. Kowalski, Szymon Lukasik, Róza Czabak-Garbacz:
An evaluation of utilizing geometric features for wheat grain classification using X-ray images. Comput. Electron. Agric. 144: 260-268 (2018) - [j5]Piotr Kulczycki, Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik:
Identification of atypical (rare) elements - a conditional, distribution-free approach. IMA J. Math. Control. Inf. 35(3): 923-937 (2018) - 2017
- [j4]André Mora, Tiago M. A. Santos, Szymon Lukasik, João M. N. Silva, António J. Falcão, José Manuel Fonseca, Rita A. Ribeiro:
Land Cover Classification from Multispectral Data Using Computational Intelligence Tools: A Comparative Study. Inf. 8(4): 147 (2017) - 2016
- [j3]Diana Domanska, Szymon Lukasik:
Handling high-dimensional data in air pollution forecasting tasks. Ecol. Informatics 34: 70-91 (2016) - [j2]Piotr A. Kowalski, Szymon Lukasik:
Training Neural Networks with Krill Herd Algorithm. Neural Process. Lett. 44(1): 5-17 (2016) - 2014
- [j1]Piotr Kulczycki, Szymon Lukasik:
An algorithm for reducing the dimension and size of a sample for data exploration procedures. Int. J. Appl. Math. Comput. Sci. 24(1): 133-149 (2014)
Conference and Workshop Papers
- 2023
- [c26]Barbara Rychalska, Szymon Lukasik, Jacek Dabrowski:
Synerise Monad: A Foundation Model for Behavioral Event Data. SIGIR 2023: 3344-3348 - 2022
- [c25]Michal Mozdzonek, Anna Wróblewska, Sergiy Tkachuk, Szymon Lukasik:
Multilingual Transformers for Product Matching - Experiments and a New Benchmark in Polish. FUZZ-IEEE 2022: 1-8 - [c24]Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki, Henryk Czachor:
Deep Learning for Porous Media Classification Based on Micro-CT Images. IJCNN 2022: 1-8 - [c23]Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi:
Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches. IJCNN 2022: 1-10 - [c22]Sergiy Tkachuk, Anna Wróblewska, Jacek Dabrowski, Szymon Lukasik:
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings. IJCNN 2022: 1-7 - 2021
- [c21]Szymon Lukasik, Andrzej Michalowski, Piotr A. Kowalski, Amir H. Gandomi:
Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions. ICCS (2) 2021: 92-103 - [c20]Grzegorz Golaszewski, Piotr Kulczycki, Tomasz Szumlak, Szymon Lukasik:
Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods. ICCS (1) 2021: 293-300 - 2020
- [c19]Jaroslaw Was, Artur Karp, Szymon Lukasik, Dariusz Palka:
Modeling of Fire Spread Including Different Heat Transfer Mechanisms Using Cellular Automata. ICCS (1) 2020: 445-458 - [c18]Piotr A. Kowalski, Maciej Kusy, Szymon Kubasiak, Szymon Lukasik:
Probabilistic Neural Network - parameters adjustment in classification task. IJCNN 2020: 1-8 - 2019
- [c17]Piotr A. Kowalski, Krystian Franus, Szymon Lukasik:
Crow Search Algorithm for Continuous Optimization Tasks. CoDIT 2019: 7-12 - 2018
- [c16]Szymon Lukasik, Mateusz Smet, Jaroslaw Krolewski:
Generating Textual Descriptions for Recommendation Results using Fuzzy Linguistic Summaries. FUZZ-IEEE 2018: 1-6 - 2017
- [c15]Piotr Andrzej Kowalski, Szymon Lukasik, Malgorzata Charytanowicz, Piotr Kulczycki:
On the Use of Nature Inspired Metaheuristic in Computer Game. FedCSIS 2017: 29-37 - [c14]Szymon Lukasik, Piotr Andrzej Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki:
Data Clustering with Grasshopper Optimization Algorithm. FedCSIS 2017: 71-74 - 2016
- [c13]Szymon Lukasik, Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki:
Clustering using flower pollination algorithm and Calinski-Harabasz index. CEC 2016: 2724-2728 - [c12]Piotr Kulczycki, Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik:
Atypical (Rare) Elements Detection - A Conditional Nonparametric Approach. CompIMAGE 2016: 56-64 - [c11]Piotr Andrzej Kowalski, Szymon Lukasik, Malgorzata Charytanowicz, Piotr Kulczycki:
Clustering based on the Krill Herd Algorithm with Selected Validity Measures. FedCSIS 2016: 79-87 - [c10]Malgorzata Charytanowicz, Jerzy Niewczas, Piotr Kulczycki, Piotr A. Kowalski, Szymon Lukasik:
Discrimination of Wheat Grain Varieties Using X-Ray Images. ITIB (1) 2016: 39-50 - 2014
- [c9]Szymon Lukasik, Piotr Andrzej Kowalski:
Fully Informed Swarm Optimization Algorithms: Basic Concepts, Variants and Experimental Evaluation. FedCSIS 2014: 155-161 - [c8]Szymon Lukasik, Piotr A. Kowalski:
Study of Flower Pollination Algorithm for Continuous Optimization. IEEE Conf. on Intelligent Systems (1) 2014: 451-459 - [c7]Piotr A. Kowalski, Szymon Lukasik:
Experimental Study of Selected Parameters of the Krill Herd Algorithm. IEEE Conf. on Intelligent Systems (1) 2014: 473-485 - 2013
- [c6]Szymon Lukasik, Piotr Kulczycki:
Using Topology Preservation Measures for Multidimensional Intelligent Data Analysis in the Reduced Feature Space. ICAISC (2) 2013: 184-193 - 2011
- [c5]Szymon Lukasik, Piotr Kulczycki:
An Algorithm for Sample and Data Dimensionality Reduction Using Fast Simulated Annealing. ADMA (1) 2011: 152-161 - 2009
- [c4]Szymon Lukasik, Slawomir Zak:
Firefly Algorithm for Continuous Constrained Optimization Tasks. ICCCI 2009: 97-106 - 2008
- [c3]Szymon Lukasik, Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki:
Fuzzy Models Synthesis with Kernel-Density-Based Clustering Algorithm. FSKD (3) 2008: 449-453 - 2007
- [c2]Szymon Lukasik:
Parallel Computing of Kernel Density Estimates with MPI. International Conference on Computational Science (3) 2007: 726-733 - [c1]Szymon Lukasik, Zbigniew Kokosinski, Grzegorz Swieton:
Parallel Simulated Annealing Algorithm for Graph Coloring Problem. PPAM 2007: 229-238
Parts in Books or Collections
- 2019
- [p1]Piotr A. Kowalski, Szymon Lukasik, Malgorzata Charytanowicz, Piotr Kulczycki:
Nature Inspired Clustering - Use Cases of Krill Herd Algorithm and Flower Pollination Algorithm. Interactions Between Computational Intelligence and Mathematics (2) 2019: 83-98
Data and Artifacts
- 2012
- [d1]Malgorzata Charytanowicz, Jerzy Niewczas, Piotr Kulczycki, Piotr A. Kowalski, Szymon Lukasik:
seeds. UCI Machine Learning Repository, 2012
Informal and Other Publications
- 2024
- [i9]Karolina Seweryn, Gabriel Chec, Szymon Lukasik, Anna Wróblewska:
Improving Object Detection Quality in Football Through Super-Resolution Techniques. CoRR abs/2402.00163 (2024) - [i8]Alicja Martinek, Szymon Lukasik, Amir H. Gandomi:
Text-Based Product Matching - Semi-Supervised Clustering Approach. CoRR abs/2402.10091 (2024) - [i7]Sergiy Tkachuk, Szymon Lukasik, Anna Wróblewska:
Consumer Transactions Simulation through Generative Adversarial Networks. CoRR abs/2408.03655 (2024) - 2023
- [i6]Karolina Seweryn, Anna Wróblewska, Szymon Lukasik:
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer - Current Trends and Research Perspectives. CoRR abs/2309.12067 (2023) - [i5]Jakub Podolak, Szymon Lukasik, Pawel Balawender, Jan Ossowski, Katarzyna Bakowicz, Piotr Sankowski:
Analyzing the Influence of Language Model-Generated Responses in Mitigating Hate Speech on Social Media Directed at Ukrainian Refugees in Poland. CoRR abs/2311.16905 (2023) - [i4]Natalia Ozegalska-Lukasik, Szymon Lukasik:
Culturally Responsive Artificial Intelligence - Problems, Challenges and Solutions. CoRR abs/2312.08467 (2023) - 2022
- [i3]Michal Mozdzonek, Anna Wróblewska, Sergiy Tkachuk, Szymon Lukasik:
Multilingual Transformers for Product Matching - Experiments and a New Benchmark in Polish. CoRR abs/2205.15712 (2022) - [i2]Sergiy Tkachuk, Anna Wróblewska, Jacek Dabrowski, Szymon Lukasik:
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings. CoRR abs/2208.06262 (2022) - [i1]Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi:
Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches. CoRR abs/2212.10207 (2022)
Coauthor Index
aka: Piotr Andrzej Kowalski
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