Faster Clustering with DBSCAN. - Marzena Kryszkiewicz; Lukasz Skonieczny (Intelligent Information Systems, 2005)

Hierarchical Document Clustering Using Frequent Closed Sets. - Marzena Kryszkiewicz; Lukasz Skonieczny (Intelligent Information Systems, 2006)

Mining for Unconnected Frequent Graphs with Direct Subgraph Isomorphism Tests. - Lukasz Skonieczny (ICMMI, 2009)

From Connected Frequent Graphs to Unconnected Frequent Graphs. - Lukasz Skonieczny (ISMIS, 2011)

Development of a University Knowledge Base. - Jakub Koperwas; Lukasz Skonieczny; Henryk Rybinski; Waclaw Struk (Intelligent Tools for Building a Scientific Information Platform, 2013)

AI Platform for Building University Research Knowledge Base. - Jakub Koperwas; Lukasz Skonieczny; Marek Kozlowski; Piotr Andruszkiewicz; Henryk Rybinski; Waclaw Struk (ISMIS, 2014)

University Knowledge Base: Two Years of Experience. - Jakub Koperwas; Lukasz Skonieczny; Marek Kozlowski; Henryk Rybinski; Waclaw Struk (Intelligent Tools for Building a Scientific Information Platform, 2014)

RDF Graph Partitions: A Brief Survey. - Dominik Tomaszuk; Lukasz Skonieczny; David Wood (BDAS, 2015)

Intelligent information processing for building university knowledge base. - Jakub Koperwas; Lukasz Skonieczny; Marek Kozlowski; Piotr Andruszkiewicz; Henryk Rybinski; Waclaw Struk (J. Intell. Inf. Syst., 2017)

Integrating IR with CRIS - a novel researcher-centric approach. - Henryk Rybinski; Lukasz Skonieczny; Jakub Koperwas; Waclaw Struk; Jolanta Stepniak; Weronika Kubrak (Program, 2017)

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. - Michal Kawulok; Pawel Benecki; Jakub Nalepa; Daniel Kostrzewa; Lukasz Skonieczny (ACIIDS (1), 2018)

B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction. - Daniel Kostrzewa; Lukasz Skonieczny; Pawel Benecki; Michal Kawulok (BDAS, 2018)

Towards Evolutionary Super-Resolution. - Michal Kawulok; Pawel Benecki; Daniel Kostrzewa; Lukasz Skonieczny (EvoApplications, 2018)

Evolving imaging model for super-resolution reconstruction. - Michal Kawulok; Pawel Benecki; Daniel Kostrzewa; Lukasz Skonieczny (GECCO (Companion), 2018)

Optimizing Super-resolution Reconstruction using a Genetic Algorithm. - Michal Kawulok; Daniel Kostrzewa; Pawel Benecki; Lukasz Skonieczny (ICAART (2), 2018)

Fast Discovery of Generalized Sequential Patterns. - Marzena Kryszkiewicz; Lukasz Skonieczny (Intelligent Methods and Big Data in Industrial Applications, 2019)

A Comparative Study of Short Text Classification with Spiking Neural Networks. - Piotr S. Maciag; Wojciech Sitek; Lukasz Skonieczny; Henryk Rybinski (FedCSIS, 2022)

Recommendation Based on Large-Scale Many-Objective Optimization for the Intelligent Internet of Things System. - Bin Cao 005; Yatian Zhang; Jianwei Zhao 001; Xin Liu 055; Lukasz Skonieczny; Zhihan Lv (IEEE Internet Things J., 2022)