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ORCIDSzymon Lukasik
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2020 – today
- 2024
[j17]Qingzheng Xu
, Huiqiang Chen, Heming Du, Hu Zhang, Szymon Lukasik, Tianqing Zhu, Xin Yu:
M3A: A multimodal misinformation dataset for media authenticity analysis. Comput. Vis. Image Underst. 249: 104205 (2024)- [j16]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) - [j15]Szymon Lukasik, Szymon Szott, Mikolaj Leszczuk:
Multimodal Image-Based Indoor Localization with Machine Learning - A Systematic Review. Sensors 24(18): 6051 (2024) - [c28]Jakub Podolak, Szymon Lukasik, Pawel Balawender, Jan Ossowski, Jan Piotrowski, Katarzyna Bakowicz, Piotr Sankowski:
LLM generated responses to mitigate the impact of hate speech. EMNLP (Findings) 2024: 15860-15876 - [c27]Piotr A. Kowalski, Ernest Jeczmionek, Malgorzata Charytanowicz, Szymon Lukasik, Jerzy Niewczas, Piotr Kulczycki:
Classification of Wheat Species Using Convolutional Neural Networks: A Comparative Study. FABULOUS 2024: 3-8 - [i11]Karolina Seweryn, Gabriel Chec, Szymon Lukasik, Anna Wróblewska:
Improving Object Detection Quality in Football Through Super-Resolution Techniques. CoRR abs/2402.00163 (2024) - [i10]Alicja Martinek, Szymon Lukasik, Amir H. Gandomi:
Text-Based Product Matching - Semi-Supervised Clustering Approach. CoRR abs/2402.10091 (2024) - [i9]Sergiy Tkachuk, Szymon Lukasik, Anna Wróblewska:
Consumer Transactions Simulation through Generative Adversarial Networks. CoRR abs/2408.03655 (2024) - [i8]Anthony Cioppa, Silvio Giancola, Vladimir Somers, Victor Joos, Floriane Magera, Jan Held, Seyed Abolfazl Ghasemzadeh, Xin Zhou, Karolina Seweryn, Mateusz Kowalczyk, Zuzanna Mróz, Szymon Lukasik, Michal Halon, Hassan Mkhallati, Adrien Deliège, Carlos Hinojosa, Karen Sanchez, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Adam Gorski, Albert Clapés, Andrei Boiarov, Anton Afanasiev, Artur Xarles, Atom Scott, Byoungkwon Lim, Calvin Yeung, Cristian Gonzalez, Dominic Rüfenacht, Enzo Pacilio, Fabian Deuser, Faisal Sami Altawijri, Francisco Cachón, Hankyul Kim, Haobo Wang, Hyeonmin Choe, Hyunwoo J. Kim, Il-Min Kim, Jae-Mo Kang, Jamshid Tursunboev, Jian Yang, Jihwan Hong, Jimin Lee, Jing Zhang, Junseok Lee, Kexin Zhang, Konrad Habel, Licheng Jiao, Linyi Li, Marc Gutiérrez-Pérez, Marcelo Ortega, Menglong Li, Milosz Lopatto, Nikita Kasatkin, Nikolay Nemtsev, Norbert Oswald, Oleg Udin, Pavel Kononov, Pei Geng, Saad Ghazai Alotaibi, Sehyung Kim, Sergei Ulasen, Sergio Escalera, Shanshan Zhang, Shuyuan Yang, Sunghwan Moon, Thomas B. Moeslund, Vasyl Shandyba, Vladimir Golovkin, Wei Dai, WonTaek Chung, Xinyu Liu, Yongqiang Zhu, Youngseo Kim, Yuan Li, Yuting Yang, Yuxuan Xiao, Zehua Cheng, Zhihao Li:
SoccerNet 2024 Challenges Results. CoRR abs/2409.10587 (2024) - [i7]Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi:
Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks. CoRR abs/2410.00129 (2024) - 2023
- [c26]Barbara Rychalska, Szymon Lukasik, Jacek Dabrowski:
Synerise Monad: A Foundation Model for Behavioral Event Data. SIGIR 2023: 3344-3348 - [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
- [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) - [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 - [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) - 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) - [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
- [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) - [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
2010 – 2019
- 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) - [c17]Piotr A. Kowalski, Krystian Franus, Szymon Lukasik:
Crow Search Algorithm for Continuous Optimization Tasks. CoDIT 2019: 7-12 - [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 - 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) - [c16]Szymon Lukasik, Mateusz Smet, Jaroslaw Krolewski:
Generating Textual Descriptions for Recommendation Results using Fuzzy Linguistic Summaries. FUZZ-IEEE 2018: 1-6 - 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) - [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
- [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) - [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
- [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) - [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 - 2012
- [d1]Malgorzata Charytanowicz, Jerzy Niewczas, Piotr Kulczycki, Piotr A. Kowalski, Szymon Lukasik:
seeds. UCI Machine Learning Repository, 2012
- 2011
- [c5]Szymon Lukasik, Piotr Kulczycki:
An Algorithm for Sample and Data Dimensionality Reduction Using Fast Simulated Annealing. ADMA (1) 2011: 152-161
2000 – 2009
- 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
Coauthor Index
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last updated on 2024-11-15 20:36 CET by the dblp team
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