Jozef Kapusta

According to our database, Jozef Kapusta authored at least 20 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

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., October, 2023

Improve estimated time-on-task calculation in a Virtual Learning Environment.

Dominik Halvoník, Jozef Kapusta, Michal Munk

Interact. Learn. Environ., July, 2023

2022

Investigation of Behavioral Characteristic Parameters Intended for Emotional State Classification.

Martin Magdin, Jozef Kapusta, Stefan Koprda

IEEE Access, 2022

2021

Using of n-grams from morphological tags for fake news classification.

Jozef Kapusta, Martin Drlík, Michal Munk

PeerJ Comput. Sci., 2021

Analysis of Edit Operations for Post-editing Systems.

Jozef Kapusta, Lubomír Benko, Dasa Munková, Michal Munk

Int. J. Comput. Intell. Syst., 2021

2020

Improvement of Misleading and Fake News Classification for Flective Languages by Morphological Group Analysis.

Jozef Kapusta, Juraj Obonya

Informatics, 2020

Framework for e-Learning Materials Optimization.

Dominik Halvoník, Jozef Kapusta

Int. J. Emerg. Technol. Learn., 2020

2019

User Identification in the Process of Web Usage Data Preprocessing.

Jozef Kapusta, Michal Munk, Dominik Halvoník, Martin Drlík

Int. J. Emerg. Technol. Learn., 2019

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

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

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2018

2017

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

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

Experimental Verification of the Dependence Between the Expected and Observed Visit Rate of Web Pages.

Jozef Kapusta, Michal Munk, Martin Drlík

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

2014

Analysis of Differences between Expected and Observed Probability of Accesses to Web Pages.

Jozef Kapusta, Michal Munk, Martin Drlík

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2014

Determining the Time Window Threshold to Identify User Sessions of Stakeholders of a Commercial Bank Portal.

Jozef Kapusta, Michal Munk, Peter Svec, Anna Pilkova

Proceedings of the International Conference on Computational Science, 2014

2013

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

Proceedings of the International Conference on Computational Science, 2013

2011

Probability modeling of accesses to the web parts of portal.

Michal Munk, Marta Vrábelová, Jozef Kapusta

Proceedings of the First World Conference on Information Technology, 2011

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

2010

Data preprocessing evaluation for web log mining: reconstruction of activities of a web visitor.

Michal Munk, Jozef Kapusta, Peter Svec

Proceedings of the International Conference on Computational Science, 2010

2009

Experimental Comparison of Adaptive Links Annotation Technique with Adaptive Direct Guidance Technique.

Jozef Kapusta, Michal Munk, Milan Turcáni

Proceedings of the WEBIST 2009, 2009