| Recommendation based on large-scale many-objective optimization for the intelligent internet of things system B Cao, Y Zhang, J Zhao, X Liu, Ł Skonieczny, Z Lv IEEE Internet of Things Journal 9 (16), 15030-15038, 2021 | 68 | 2021 |
| Faster clustering with DBSCAN M Kryszkiewicz, Ł Skonieczny Intelligent Information Processing and Web Mining: Proceedings of the …, 2005 | 34 | 2005 |
| Intelligent Tools for Building a Scientific Information Platform R Bembenik, L Skonieczny, H Rybiński, M Niezgodka Springer Berlin Heidelberg, 2012 | 32 | 2012 |
| Intelligent tools for building a scientific information platform R Bembenik, L Skonieczny, H Rybiński, M Niezgodka Springer Berlin Heidelberg, 2012 | 32 | 2012 |
| Integrating IR with CRIS–a novel researcher-centric approach H Rybinski, L Skonieczny, J Koperwas, W Struk, J Stepniak, W Kubrak Program 51 (3), 298-321, 2017 | 23 | 2017 |
| Intelligent information processing for building university knowledge base J Koperwas, Ł Skonieczny, M Kozłowski, P Andruszkiewicz, H Rybiński, ... Journal of Intelligent Information Systems 48, 141-163, 2017 | 21 | 2017 |
| Hierarchical document clustering using frequent closed sets M Kryszkiewicz, Ł Skonieczny Intelligent Information Processing and Web Mining: Proceedings of the …, 2006 | 21 | 2006 |
| Intelligent Tools for Building a Scientific Information Platform: Advanced Architectures and Solutions R Bembenik, L Skonieczny, H Rybinski, M Kryszkiewicz, M Niezgodka Springer, 2013 | 16 | 2013 |
| RDF graph partitions: A brief survey D Tomaszuk, Ł Skonieczny, D Wood International Conference: Beyond Databases, Architectures and Structures …, 2015 | 10 | 2015 |
| Mining for unconnected frequent graphs with direct subgraph isomorphism tests Ł Skonieczny Man-machine interactions, 523-531, 2009 | 7 | 2009 |
| Omega-PSIR: Institutional CRIS at Polish Universities H Rybiński, W Kubrak, Ł Skonieczny, J Koperwas, W Struk Informačné technológie a knižnice (ITLib), 2018 | 6 | 2018 |
| Intelligent methods and big data in industrial applications R Bembenik, Ł Skonieczny, G Protaziuk, M Kryszkiewicz, H Rybinski Springer International Publishing, 2019 | 5 | 2019 |
| B4MultiSR: a benchmark for multiple-image super-resolution reconstruction D Kostrzewa, Ł Skonieczny, P Benecki, M Kawulok International Conference: Beyond Databases, Architectures and Structures …, 2018 | 5 | 2018 |
| Towards robust evaluation of super-resolution satellite image reconstruction M Kawulok, P Benecki, J Nalepa, D Kostrzewa, Ł Skonieczny Asian Conference on Intelligent Information and Database Systems, 476-486, 2018 | 5 | 2018 |
| OMEGA-PSIR–a solution for implementing university research knowledge base H Rybiński, JJ Koperwas, Ł Skonieczny The Institute of Computer Science, 2015 | 5 | 2015 |
| Development of a University Knowledge Base J Koperwas, Ł Skonieczny, H Rybiński, W Struk Intelligent Tools for Building a Scientific Information Platform, 97-110, 2013 | 5 | 2013 |
| Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation R Bembenik, Ł Skonieczny, H Rybiński, M Kryszkiewicz, M Niezgódka Springer, 2014 | 4 | 2014 |
| AI platform for building university research knowledge base J Koperwas, Ł Skonieczny, M Kozłowski, P Andruszkiewicz, H Rybiński, ... Foundations of Intelligent Systems: 21st International Symposium, ISMIS 2014 …, 2014 | 4 | 2014 |
| University knowledge base: Two years of experience J Koperwas, Ł Skonieczny, M Kozłowski, H Rybiński, W Struk Intelligent Tools for Building a Scientific Information Platform: From …, 2014 | 4 | 2014 |
| A comparative study of short text classification with spiking neural networks PS Maciąg, W Sitek, Ł Skonieczny, H Rybiński 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2022 | 3 | 2022 |
