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Martin Sarnovsky
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2020 – today
- 2023
- [j7]Michal Kolarik, Martin Sarnovsky, Ján Paralic, Frantisek Babic:
Explainability of deep learning models in medical video analysis: a survey. PeerJ Comput. Sci. 9: e1253 (2023) - [c12]Peter Bednár, Martin Sarnovsky, Jakub Ivan Vanko:
Cognitive Architecture for Process industries. eSAAM 2023: 15-20 - 2022
- [j6]Viera Maslej-Kresnáková, Martin Sarnovsky, Júlia Jacková:
Use of Data Augmentation Techniques in Detection of Antisocial Behavior Using Deep Learning Methods. Future Internet 14(9): 260 (2022) - [c11]Peter Bednár, Juliana Ivancáková, Martin Sarnovsky:
Semantic automatization of the data-analytical processes. SACI 2022: 239-242 - 2021
- [j5]Martin Sarnovsky, Michal Kolarik:
Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble. PeerJ Comput. Sci. 7: e459 (2021) - 2020
- [j4]Martin Sarnovsky, Ján Paralic:
Hierarchical Intrusion Detection Using Machine Learning and Knowledge Model. Symmetry 12(2): 203 (2020) - [c10]Peter Bednár, Martin Sarnovsky, Pavol Halas:
Semantic Models for Network Intrusion Detection. SAM IoT 2020: 25-30
2010 – 2019
- 2019
- [j3]Martin Sarnovsky, Marek Olejnik:
Improvement in the Efficiency of a Distributed Multi-Label Text Classification Algorithm Using Infrastructure and Task-Related Data. Informatics 6(1): 12 (2019) - 2018
- [j2]Martin Sarnovsky, Peter Bednár, Miroslav Smatana:
Big Data Processing and Analytics Platform Architecture for Process Industry Factories. Big Data Cogn. Comput. 2(1): 3 (2018) - 2017
- [c9]Martin Sarnovsky, Petra Cibulova:
Measurement Center Processes Support in the Automotive Industry. ISAT (3) 2017: 295-303 - 2016
- [c8]Martin Sarnovsky, Peter Butka, Jakub Paulina:
Social-Media Data Analysis Using Tessera Framework in the Hadoop Cluster Environment. ISAT (2) 2016: 239-251 - 2015
- [c7]Martin Sarnovsky, Peter Butka, Peter Bednár, Frantisek Babic, Ján Paralic:
Analytical Platform Based on Jbowl Library Providing Text-Mining Services in Distributed Environment. ICT-EurAsia/CONFENIS 2015: 310-319 - [c6]Martin Sarnovsky, Noema Carnoka:
Distributed Algorithm for Text Documents Clustering Based on k-Means Approach. ISAT (2) 2015: 165-174 - 2013
- [c5]Martin Sarnovsky, Z. Ulbrik:
Cloud-based clustering of text documents using the GHSOM algorithm on the GridGain platform. SACI 2013: 309-313 - 2012
- [c4]Peter Butka, Jozef Pócs, Jana Pócsová, Martin Sarnovsky:
Multiple Data Tables Processing via One-Sided Concept Lattices. MISSI 2012: 89-98 - 2011
- [j1]Peter Kostelnik, Martin Sarnovsky, Karol Furdík:
The Semantic Middleware for Networked Embedded Systems Applied in the Internet of Things and Services Domain. Scalable Comput. Pract. Exp. 12(3) (2011) - [c3]Martin Sarnovsky, Karol Furdík:
IT service management supported by semantic technologies. SACI 2011: 205-208
2000 – 2009
- 2009
- [c2]Peter Kostelnik, Martin Sarnovsky, Ján Hreno:
Ontologies in HYDRA - Middleware for Ambient Intelligent Devices. AMIF 2009: 43-46 - 2006
- [c1]Ivan Janciak, Martin Sarnovsky, A Min Tjoa, Peter Brezany:
Distributed Classification of Textual Documents on the Grid. HPCC 2006: 710-718
Coauthor Index
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