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Peerj. Computer Science|August 16, 2021
Using of n-grams from morphological tags for fake news classificationJozef Kapusta, Martin Drlik, Michal MunkPlos One|October 27, 2021
Pillar 3: Does banking regulation support stakeholders' interest in banks financial and risk profile?Anna Pilková, Michal Munk, Ľubomír Benko, et al.Data in Brief|December 24, 2025
High-resolution dataset (2017-2023) of physical-geographical predictors for machine learning modelling of fluvial flooding: the Gidra river case, SlovakiaMatej Vojtek, Ľubomír Benko, Jozef Kapusta, et al.Plos One|September 14, 2021
Improving fake news classification using dependency grammarKitti Nagy, Jozef KapustaProcedia Computer Science|October 24, 2022
Search queries related to COVID-19 based on keyword extractionLívia Kelebercová, Michal MunkEntropy (Basel, Switzerland)|December 3, 2020
Using Entropy in Web Usage Data PreprocessingMichal Munk, Lubomir BenkoScientific Data|April 17, 2026
A multisource dataset for anomaly detection and fault prediction in urban water distribution networksJan Babela, Michal Munk, Dasa MunkovaPlos One|July 31, 2025
Decoding corporate communication strategies: Analysing mandatory published information under Pillar 3 across turbulent periods with unsupervised machine learningAnna Pilková, Michal Munk, Lívia KelebercováFrontiers in Public Health|May 22, 2026
Correction: Investigating the level of education in the field of occupational safety and health in preparation for future profession: a Slovak case studyPeter Brečka, Ivana Tureková, Michal MunkFrontiers in Public Health|May 22, 2026
Investigating the level of education in the field of occupational safety and health in preparation for future profession: a Slovak case studyPeter Brečka, Ivana Tureková, Michal MunkPageof 3