Distributed Classification of Textual Documents on the Grid. - Ivan Janciak; Martin Sarnovsky; A Min Tjoa; Peter Brezany (HPCC, 2006)

Ontologies in HYDRA - Middleware for Ambient Intelligent Devices. - Peter Kostelnik; Martin Sarnovsky; Ján Hreno (AMIF, 2009)

IT service management supported by semantic technologies. - Martin Sarnovsky; Karol Furdík (SACI, 2011)

The Semantic Middleware for Networked Embedded Systems Applied in the Internet of Things and Services Domain. - Peter Kostelnik; Martin Sarnovsky; Karol Furdík (Scalable Comput. Pract. Exp., 2011)

Multiple Data Tables Processing via One-Sided Concept Lattices. - Peter Butka; Jozef Pócs; Jana Pócsová; Martin Sarnovsky (MISSI, 2012)

Cloud-based clustering of text documents using the GHSOM algorithm on the GridGain platform. - Martin Sarnovsky; Z. Ulbrik (SACI, 2013)

Analytical Platform Based on Jbowl Library Providing Text-Mining Services in Distributed Environment. - Martin Sarnovsky; Peter Butka; Peter Bednár; Frantisek Babic; Ján Paralic (ICT-EurAsia/CONFENIS, 2015)

Distributed Algorithm for Text Documents Clustering Based on k-Means Approach. - Martin Sarnovsky; Noema Carnoka (ISAT (2), 2015)

Social-Media Data Analysis Using Tessera Framework in the Hadoop Cluster Environment. - Martin Sarnovsky; Peter Butka; Jakub Paulina (ISAT (2), 2016)

Measurement Center Processes Support in the Automotive Industry. - Martin Sarnovsky; Petra Cibulova (ISAT (3), 2017)

Big Data Processing and Analytics Platform Architecture for Process Industry Factories. - Martin Sarnovsky; Peter Bednár; Miroslav Smatana (Big Data Cogn. Comput., 2018)

Improvement in the Efficiency of a Distributed Multi-Label Text Classification Algorithm Using Infrastructure and Task-Related Data. - Martin Sarnovsky; Marek Olejnik (Informatics, 2019)

Semantic Models for Network Intrusion Detection. - Peter Bednár; Martin Sarnovsky; Pavol Halas (SAM IoT, 2020)

Hierarchical Intrusion Detection Using Machine Learning and Knowledge Model. - Martin Sarnovsky; Ján Paralic (Symmetry, 2020)

Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble. - Martin Sarnovsky; Michal Kolarik (PeerJ Comput. Sci., 2021)

Semantic automatization of the data-analytical processes. - Peter Bednár; Juliana Ivancáková; Martin Sarnovsky (SACI, 2022)

Use of Data Augmentation Techniques in Detection of Antisocial Behavior Using Deep Learning Methods. - Viera Maslej-Kresnáková; Martin Sarnovsky; Júlia Jacková (Future Internet, 2022)

Cognitive Architecture for Process industries. - Peter Bednár; Martin Sarnovsky; Jakub Ivan Vanko (eSAAM, 2023)

Explainability of deep learning models in medical video analysis: a survey. - Michal Kolarik; Martin Sarnovsky; Ján Paralic; Frantisek Babic (PeerJ Comput. Sci., 2023)