| Comparison of deep learning models and various text pre-processing techniques for the toxic comments classification V Maslej-Krešňáková, M Sarnovský, P Butka, K Machová Applied Sciences 10 (23), 8631, 2020 | 114 | 2020 |
| The semantic middleware for networked embedded systems applied in the internet of things and services domain P Kostelnik, M Sarnovsk, K Furdik Scalable Computing: Practice and Experience 12 (3), 307-316, 2011 | 80 | 2011 |
| Deep learning methods for Fake News detection VM Krešňáková, M Sarnovský, P Butka 2019 IEEE 19th international symposium on computational intelligence and …, 2019 | 60 | 2019 |
| Hierarchical intrusion detection using machine learning and knowledge model M Sarnovsky, J Paralic Symmetry 12 (2), 203, 2020 | 58 | 2020 |
| Big data processing and analytics platform architecture for process industry factories M Sarnovsky, P Bednar, M Smatana Big Data and Cognitive Computing 2 (1), 3, 2018 | 40 | 2018 |
| Emotion analysis in human–robot interaction M Szabóová, M Sarnovský, V Maslej Krešňáková, K Machová Electronics 9 (11), 1761, 2020 | 36 | 2020 |
| Cloud-based classification of text documents using the Gridgain platform M Samovsky, T Kacur 2012 7th IEEE International Symposium on Applied Computational Intelligence …, 2012 | 27 | 2012 |
| Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble M Sarnovsky, M Kolarik PeerJ Computer Science 7, e459, 2021 | 22 | 2021 |
| Fake news detection in Slovak language using deep learning techniques K Ivancová, M Sarnovský, V Maslej-Krcšñáková 2021 IEEE 19th World Symposium on Applied Machine Intelligence and …, 2021 | 21 | 2021 |
| Grid-based support for different text mining tasks M Sarnovský, P Butka, J Paralič Acta Polytechnica Hungarica 6 (4), 5-27, 2009 | 21 | 2009 |
| One approach to combination of FCA-based local conceptual models for text analysis—grid-based approach P Butka, M Sarnovsky, P Bednar 2008 6th International Symposium on Applied Machine Intelligence and …, 2008 | 21 | 2008 |
| Predictive models for support of incident management process in IT service management M Sarnovsky, J Surma Acta Electrotechnica et Informatica 18 (1), 57-62, 2018 | 20 | 2018 |
| Use of data augmentation techniques in detection of antisocial behavior using deep learning methods V Maslej-Krešňáková, M Sarnovský, J Jacková Future Internet 14 (9), 260, 2022 | 19 | 2022 |
| Cloud-based clustering of text documents using the GHSOM algorithm on the GridGain platform M Sarnovsky, Z Ulbrik 2013 IEEE 8th international symposium on applied computational intelligence …, 2013 | 19 | 2013 |
| Semantic devices for ambient environment middleware P Kostelnik, M Sarnovsky, J Hreno, M Ahlsen, P Rosengren, P Kool, ... Proceedings of EURO TrustAmi, 18-19, 2008 | 19 | 2008 |
| Fake news detection related to the covid-19 in slovak language using deep learning methods M Sarnovský, V Maslej-Krešňáková, K Ivancová Acta Polytechnica Hungarica 19 (2), 43-57, 2022 | 18 | 2022 |
| First demonstrator of hydra middleware architecture for building automation M Sarnovský, P Kostelník, P Butka, J Hreňo, D Lacková Proceedings of the scientific conference Znalosti, 2008 | 18 | 2008 |
| Distributed classification of textual documents on the grid I Janciak, M Sarnovsky, AM Tjoa, P Brezany High Performance Computing and Communications: Second International …, 2006 | 18 | 2006 |
| Text mining workflows construction with support of ontologies M Sarnovsky, M Paralic 2008 6th International Symposium on Applied Machine Intelligence and …, 2008 | 17 | 2008 |
| Analytical platform based on Jbowl library providing text-mining services in distributed environment M Sarnovský, P Butka, P Bednár, F Babič, J Paralič Information and Communication Technology: Third IFIP TC 5/8 International …, 2015 | 16 | 2015 |
