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Viera Maslej-Kre?náková, Martin Sarnovský and Júlia Jacková
The work presented in this paper focuses on the use of data augmentation techniques applied in the domain of the detection of antisocial behavior. Data augmentation is a frequently used approach to overcome issues related to the lack of data or problems ...
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Viera Maslej-Kre?náková, Martin Sarnovský, Peter Butka and Kristína Machová
The emergence of anti-social behaviour in online environments presents a serious issue in today?s society. Automatic detection and identification of such behaviour are becoming increasingly important. Modern machine learning and natural language processi...
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Martin Sarnovsky and Marek Olejnik
Distributed computing technologies allow a wide variety of tasks that use large amounts of data to be solved. Various paradigms and technologies are already widely used, but many of them are lacking when it comes to the optimization of resource usage. Th...
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Martin Sarnovsky, Peter Bednar and Miroslav Smatana
This paper describes the architecture of a cross-sectorial Big Data platform for the process industry domain. The main objective was to design a scalable analytical platform that will support the collection, storage and processing of data from multiple i...
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