Experimental Comparison of Adaptive Links Annotation Technique with Adaptive Direct Guidance Technique. - Jozef Kapusta; Michal Munk; Milan Turcáni (WEBIST, 2009)

Data preprocessing evaluation for web log mining: reconstruction of activities of a web visitor. - Michal Munk; Jozef Kapusta; Peter Svec (ICCS, 2010)

Popularizing Natural Sciences by Means of Scientific Fair. - Martin Cápay; Jozef Kapusta; Martin Magdin; Miroslava Mesárosová; Peter Svec; Lubomíra Valovicová (Int. J. Emerg. Technol. Learn., 2011)

Probability modeling of accesses to the web parts of portal. - Michal Munk; Marta Vrábelová; Jozef Kapusta (WCIT, 2011)

Pillar 3 and Modelling of Stakeholders' Behaviour at the Commercial Bank Website during the Recent Financial Crisis. - Michal Munk; Anna Pilkova; Jozef Kapusta; Peter Svec; Martin Drlík (ICCS, 2013)

Determining the Time Window Threshold to Identify User Sessions of Stakeholders of a Commercial Bank Portal. - Jozef Kapusta; Michal Munk; Peter Svec; Anna Pilkova (ICCS, 2014)

Analysis of Differences between Expected and Observed Probability of Accesses to Web Pages. - Jozef Kapusta; Michal Munk; Martin Drlík (ICCCI, 2014)

Experimental Verification of the Dependence Between the Expected and Observed Visit Rate of Web Pages. - Jozef Kapusta; Michal Munk; Martin Drlík (ICIC (3), 2015)

Identification of Underestimated and Overestimated Web Pages Using PageRank and Web Usage Mining Methods. - Jozef Kapusta; Michal Munk; Martin Drlík (Trans. Comput. Collect. Intell., 2015)

Identification of differences in university e-environment between selected EU and non-EU countries using knowledge mining methods: project IRNet case study. - Martin Drlík; Peter Svec; Jozef Kapusta; Michal Munk; Tatiana Noskova; Tatiana Pavlova; Olga Yakovleva; Nataliia Morze; Eugenia Smyrnova-Trybulska (Int. J. Web Based Communities, 2017)

Selection of Suitable PageRank Calculation for Analysis of Differences Between Expected and Observed Probability of Accesses to Web Pages. - Jozef Kapusta; Michal Munk; Peter Svec (MIWAI, 2018)

Website Structure Improvement Based on the Combination of Selected Web Structure and Web Usage Mining Methods. - Jozef Kapusta; Michal Munk; Martin Drlík (Int. J. Inf. Technol. Decis. Mak., 2018)

User Identification in the Process of Web Usage Data Preprocessing. - Jozef Kapusta; Michal Munk; Dominik Halvoník; Martin Drlík (Int. J. Emerg. Technol. Learn., 2019)

Framework for e-Learning Materials Optimization. - Dominik Halvoník; Jozef Kapusta (Int. J. Emerg. Technol. Learn., 2020)

Improvement of Misleading and Fake News Classification for Flective Languages by Morphological Group Analysis. - Jozef Kapusta; Juraj Obonya (Informatics, 2020)

Analysis of Edit Operations for Post-editing Systems. - Jozef Kapusta; Lubomír Benko; Dasa Munková; Michal Munk (Int. J. Comput. Intell. Syst., 2021)

Using of n-grams from morphological tags for fake news classification. - Jozef Kapusta; Martin Drlík; Michal Munk (PeerJ Comput. Sci., 2021)

Investigation of Behavioral Characteristic Parameters Intended for Emotional State Classification. - Martin Magdin; Jozef Kapusta; Stefan Koprda (IEEE Access, 2022)

Improve estimated time-on-task calculation in a Virtual Learning Environment. - Dominik Halvoník; Jozef Kapusta; Michal Munk (Interact. Learn. Environ., 2023)

Feature extraction from unstructured texts as a combination of the morphological and the syntactic analysis and its usage in fake news classification tasks. - Kitti Szabó Nagy; Jozef Kapusta; Michal Munk (Neural Comput. Appl., 2023)

Large Language Models and Rule-Based Approaches in Domain-Specific Communication. - Dominik Halvoník; Jozef Kapusta (IEEE Access, 2024)

Text Data Augmentation Techniques for Word Embeddings in Fake News Classification. - Jozef Kapusta; David Drzík; Kirsten Steflovic; Kitti Szabó Nagy (IEEE Access, 2024)