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Jozef Kapusta
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2020 – today
- 2024
- [j14]Jozef Kapusta, David Drzík, Kirsten Steflovic, Kitti Szabó Nagy:
Text Data Augmentation Techniques for Word Embeddings in Fake News Classification. IEEE Access 12: 31538-31550 (2024) - [j13]Dominik Halvoník, Jozef Kapusta:
Large Language Models and Rule-Based Approaches in Domain-Specific Communication. IEEE Access 12: 107046-107058 (2024) - 2023
- [j12]Dominik Halvoník, Jozef Kapusta, Michal Munk:
Improve estimated time-on-task calculation in a Virtual Learning Environment. Interact. Learn. Environ. 31(5): 2914-2929 (2023) - [j11]Kitti Szabó Nagy, Jozef Kapusta, Michal Munk:
Feature extraction from unstructured texts as a combination of the morphological and the syntactic analysis and its usage in fake news classification tasks. Neural Comput. Appl. 35(29): 22055-22067 (2023) - 2022
- [j10]Martin Magdin, Jozef Kapusta, Stefan Koprda:
Investigation of Behavioral Characteristic Parameters Intended for Emotional State Classification. IEEE Access 10: 129029-129041 (2022) - 2021
- [j9]Jozef Kapusta, Lubomír Benko, Dasa Munková, Michal Munk:
Analysis of Edit Operations for Post-editing Systems. Int. J. Comput. Intell. Syst. 14(1): 197 (2021) - [j8]Jozef Kapusta, Martin Drlík, Michal Munk:
Using of n-grams from morphological tags for fake news classification. PeerJ Comput. Sci. 7: e624 (2021) - 2020
- [j7]Dominik Halvoník, Jozef Kapusta:
Framework for e-Learning Materials Optimization. Int. J. Emerg. Technol. Learn. 15(11): 67-77 (2020) - [j6]Jozef Kapusta, Juraj Obonya:
Improvement of Misleading and Fake News Classification for Flective Languages by Morphological Group Analysis. Informatics 7(1): 4 (2020)
2010 – 2019
- 2019
- [j5]Jozef Kapusta, Michal Munk, Dominik Halvoník, Martin Drlík:
User Identification in the Process of Web Usage Data Preprocessing. Int. J. Emerg. Technol. Learn. 14(9): 21-33 (2019) - 2018
- [j4]Jozef Kapusta, Michal Munk, Martin Drlík:
Website Structure Improvement Based on the Combination of Selected Web Structure and Web Usage Mining Methods. Int. J. Inf. Technol. Decis. Mak. 17(6): 1743-1776 (2018) - [c8]Jozef Kapusta, Michal Munk, Peter Svec:
Selection of Suitable PageRank Calculation for Analysis of Differences Between Expected and Observed Probability of Accesses to Web Pages. MIWAI 2018: 139-150 - 2017
- [j3]Martin Drlík, Peter Svec, Jozef Kapusta, Michal Munk, Tatiana Noskova, Tatiana Pavlova, Olga Yakovleva, Nataliia Morze, Eugenia Smyrnova-Trybulska:
Identification of differences in university e-environment between selected EU and non-EU countries using knowledge mining methods: project IRNet case study. Int. J. Web Based Communities 13(2): 236-261 (2017) - 2015
- [j2]Jozef Kapusta, Michal Munk, Martin Drlík:
Identification of Underestimated and Overestimated Web Pages Using PageRank and Web Usage Mining Methods. Trans. Comput. Collect. Intell. 18: 127-146 (2015) - [c7]Jozef Kapusta, Michal Munk, Martin Drlík:
Experimental Verification of the Dependence Between the Expected and Observed Visit Rate of Web Pages. ICIC (3) 2015: 637-648 - 2014
- [c6]Jozef Kapusta, Michal Munk, Peter Svec, Anna Pilkova:
Determining the Time Window Threshold to Identify User Sessions of Stakeholders of a Commercial Bank Portal. ICCS 2014: 1779-1790 - [c5]Jozef Kapusta, Michal Munk, Martin Drlík:
Analysis of Differences between Expected and Observed Probability of Accesses to Web Pages. ICCCI 2014: 673-683 - 2013
- [c4]Michal Munk, Anna Pilkova, Jozef Kapusta, Peter Svec, Martin Drlík:
Pillar 3 and Modelling of Stakeholders' Behaviour at the Commercial Bank Website during the Recent Financial Crisis. ICCS 2013: 1747-1756 - 2011
- [j1]Martin Cápay, Jozef Kapusta, Martin Magdin, Miroslava Mesárosová, Peter Svec, Lubomíra Valovicová:
Popularizing Natural Sciences by Means of Scientific Fair. Int. J. Emerg. Technol. Learn. 6(4): 12-17 (2011) - [c3]Michal Munk, Marta Vrábelová, Jozef Kapusta:
Probability modeling of accesses to the web parts of portal. WCIT 2011: 677-683 - 2010
- [c2]Michal Munk, Jozef Kapusta, Peter Svec:
Data preprocessing evaluation for web log mining: reconstruction of activities of a web visitor. ICCS 2010: 2273-2280
2000 – 2009
- 2009
- [c1]Jozef Kapusta, Michal Munk, Milan Turcáni:
Experimental Comparison of Adaptive Links Annotation Technique with Adaptive Direct Guidance Technique. WEBIST 2009: 250-255
Coauthor Index
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