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2020 – today
- 2025
[j30]Lubomír Benko
, Anna Pilkova, Michal Munk, Slavka Eley:
Pillar 3: The impact of language complexity on the preferences of commercial bank website users. Expert Syst. Appl. 259: 125326 (2025)- 2024
- [j29]Karol Bliznák, Michal Munk, Anna Pilková:
A Systematic Review of Recent Literature on Data Governance (2017-2023). IEEE Access 12: 149875-149888 (2024) - [j28]Petr Hájek, Michal Munk:
Corporate financial distress prediction using the risk-related information content of annual reports. Inf. Process. Manag. 61(5): 103820 (2024) - [j27]Lubomír Benko, Dasa Munková, Mária Pappová, Michal Munk:
Comparison of various approaches to tagging for the inflectional Slovak language. PeerJ Comput. Sci. 10: e2026 (2024) - 2023
- [j26]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) - [j25]Petr Hájek, Michal Munk:
Speech emotion recognition and text sentiment analysis for financial distress prediction. Neural Comput. Appl. 35(29): 21463-21477 (2023) - [j24]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) - [c32]Lubomír Benko, Dasa Munková, Michal Munk:
Relationship Between Linguistic Complexity and MT Errors in the Context of Inflectional Languages. ACIIDS (Companion) 2023: 546-557 - [c31]Ján Bábela, Michal Munk, Dasa Munková:
From Drips to Data: Preventing Unnecessary Leakages in Water Distribution Networks in Slovakia. CENTERIS/ProjMAN/HCist 2023: 1696-1704 - 2022
- [j23]Farhana Akter Sunny, Petr Hájek, Michal Munk, Mohammad Zoynul Abedin, Md. Shahriare Satu, Md. Iftekharul Alam Efat, Md. Jahidul Islam:
A Systematic Review of Blockchain Applications. IEEE Access 10: 59155-59177 (2022) - [c30]Lubomír Benko, Lucia Benkova, Dasa Munková, Michal Munk, Danylo Shulzenko:
Error Classification Using Automatic Measures Based on n-grams and Edit Distance. ARTIIS (1) 2022: 345-356 - [c29]Lívia Kelebercová, Michal Munk:
Search queries related to COVID-19 based on keyword extraction. KES 2022: 2618-2627 - 2021
- [j22]Martin Drlík, Michal Munk, Ján Skalka:
Identification of Changes in VLE Stakeholders' Behavior Over Time Using Frequent Patterns Mining. IEEE Access 9: 23795-23813 (2021) - [j21]Dasa Munková, Michal Munk, Lubomír Benko, Jiri Stastny:
MT Evaluation in the Context of Language Complexity. Complex. 2021: 2806108:1-2806108:15 (2021) - [j20]Michal Munk, Anna Pilkova, Lubomír Benko, Petra Blazekova, Peter Svec:
Web usage analysis of Pillar 3 disclosed information by deposit customers in turbulent times. Expert Syst. Appl. 185: 115503 (2021) - [j19]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) - [j18]Petr Hájek, Aliaksandr Barushka, Michal Munk:
Neural Networks with Emotion Associations, Topic Modeling and Supervised Term Weighting for Sentiment Analysis. Int. J. Neural Syst. 31(10): 2150013:1-2150013:18 (2021) - [j17]Jozef Kapusta, Martin Drlík, Michal Munk:
Using of n-grams from morphological tags for fake news classification. PeerJ Comput. Sci. 7: e624 (2021) - [j16]Dasa Munková, Michal Munk, Lubomír Benko, Petr Hájek:
The role of automated evaluation techniques in online professional translator training. PeerJ Comput. Sci. 7: e706 (2021) - 2020
- [j15]Petr Hájek, Aliaksandr Barushka, Michal Munk:
Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining. Neural Comput. Appl. 32(23): 17259-17274 (2020) - [c28]Petr Hájek, Aliaksandr Barushka, Michal Munk:
Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations. AIAI (1) 2020: 419-429
2010 – 2019
- 2019
- [j14]Martin Drlík, Michal Munk:
Understanding Time-Based Trends in Stakeholders' Choice of Learning Activity Type Using Predictive Models. IEEE Access 7: 3106-3121 (2019) - [j13]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) - [c27]Ján Záhorec, Alena Hasková, Michal Munk:
Integration of Digital Technology Applications into the Pre-gradual Teacher Training. ICL (2) 2019: 892-901 - 2018
- [j12]Jiri Stastny, Michal Munk, Lubos Juranek:
Automatic bird species recognition based on birds vocalization. EURASIP J. Audio Speech Music. Process. 2018: 19 (2018) - [j11]Michal Munk, Lubomír Benko:
Using Entropy in Web Usage Data Preprocessing. Entropy 20(1): 67 (2018) - [j10]Ján Záhorec, Alena Hasková, Michal Munk:
Particular Results of a Research Aimed at Curricula Design of Teacher Training in the Area of Didactic Technological Competences. Int. J. Eng. Pedagog. 8(4): 16-31 (2018) - [j9]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) - [j8]Michal Munk, Dasa Munková:
Detecting errors in machine translation using residuals and metrics of automatic evaluation. J. Intell. Fuzzy Syst. 34(5): 3211-3223 (2018) - [j7]Michal Munk, Dasa Munková, Lubomír Benko:
Towards the use of entropy as a measure for the reliability of automatic MT evaluation metrics. J. Intell. Fuzzy Syst. 34(5): 3225-3233 (2018) - [c26]Dasa Munková, Michal Munk, Lubomír Benko, Jakub Absolon:
From Old Fashioned "One Size Fits All" to Tailor Made Online Training. ICL (1) 2018: 365-376 - [c25]Ján Záhorec, Alena Hasková, Michal Munk:
First Results of a Research Focused on Teachers' Didactic Technological Competences Development. ICL (2) 2018: 461-472 - [c24]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
- [j6]Michal Munk, Martin Drlík, Lubomír Benko, Jaroslav Reichel:
Quantitative and Qualitative Evaluation of Sequence Patterns Found by Application of Different Educational Data Preprocessing Techniques. IEEE Access 5: 8989-9004 (2017) - [j5]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) - [c23]Ján Záhorec, Alena Hasková, Michal Munk:
Curricula Design of Teacher Training in the Area of Didactic Technological Competences. ICL (2) 2017: 383-393 - 2016
- [c22]Stefan Koprda, Martin Magdin, Michal Munk:
Implementation of Microcontroller Arduino in Irrigation System. ICIC (1) 2016: 133-144 - [c21]Michal Munk, Dasa Munková, Lubomír Benko:
Identification of Relevant and Redundant Automatic Metrics for MT Evaluation. MIWAI 2016: 141-152 - 2015
- [j4]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) - [c20]Anna Pilkova, Michal Munk, Peter Svec, Michal Medo:
Assessment of the Pillar 3 Financial and Risk Information Disclosures Usefulness to the Commercial Banks Users. ICIC (3) 2015: 429-440 - [c19]Dasa Munková, Michal Munk:
Automatic Evaluation of Machine Translation Through the Residual Analysis. ICIC (3) 2015: 481-490 - [c18]Dasa Munková, Eva Stranovská, Michal Munk:
Language Processing and Human Cognition. ICIC (3) 2015: 500-509 - [c17]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 - [c16]Ján Záhorec, Alena Hasková, Michal Munk:
Informatics as a part of study programmes in economy and management. ICL 2015: 462-470 - 2014
- [j3]Ján Záhorec, Alena Hasková, Michal Munk:
Assessment of Selected Aspects of Teaching Programming in SK and CZ. Informatics Educ. 13(1): 157-178 (2014) - [c15]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 - [c14]Jozef Kapusta, Michal Munk, Martin Drlík:
Analysis of Differences between Expected and Observed Probability of Accesses to Web Pages. ICCCI 2014: 673-683 - 2013
- [c13]Dasa Munková, Michal Munk, Martin Vozár:
Data Pre-Processing Evaluation for Text Mining: Transaction/Sequence Model. ICCS 2013: 1198-1207 - [c12]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 - [c11]Dasa Munková, Michal Munk, Martin Vozár:
Influence of Stop-Words Removal on Sequence Patterns Identification within Comparable Corpora. ICT Innovations 2013: 67-76 - [c10]Dasa Munková, Michal Munk, L'udmila Adamová:
Modelling of Language Processing Dependence on Morphological Features. ICT Innovations 2013: 77-86 - [c9]Dasa Munková, Michal Munk, Zuzana Fraterova:
Identifying Social and Expressive Factors in Request Texts Using Transaction/Sequence Model. RANLP 2013: 496-503 - 2012
- [j2]Ján Záhorec, Alena Hasková, Michal Munk:
Results of a Research Evaluating Quality of Computer Science Education. Informatics Educ. 11(2): 283-300 (2012) - [c8]Dasa Munková, Michal Munk, Zuzana Fraterova, Beáta Duracková:
Analysis of Social and Expressive Factors of Requests by Methods of Text Mining. PACLIC 2012: 515-524 - 2011
- [c7]Michal Munk, Martin Drlík:
Influence of Different Session Timeouts Thresholds on Results of Sequence Rule Analysis in Educational Data Mining. DICTAP (1) 2011: 60-74 - [c6]Michal Munk, Martin Drlík, Marta Vrábelová:
Probability Modelling of Accesses to the Course Activities in the Web-Based Educational System. ICCSA (5) 2011: 485-499 - [c5]Michal Munk, Marta Vrábelová, Jozef Kapusta:
Probability modeling of accesses to the web parts of portal. WCIT 2011: 677-683 - [c4]Martin Drlík, Michal Munk, Ján Skalka:
Usage analysis of system for theses acquisition and plagiarism detection. WCIT 2011: 866-871 - [c3]Michal Munk, Martin Drlík:
Impact of Different Pre-Processing Tasks on Effective Identification of Users' Behavioral Patterns in Web-based Educational System. ICCS 2011: 1640-1649 - 2010
- [j1]Ján Záhorec, Alena Hasková, Michal Munk:
Impact of electronic teaching materials on process of education - Results of an experiment. Informatics Educ. 9(2): 261-281 (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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last updated on 2024-11-07 21:33 CET by the dblp team
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