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Born |
November 1985 |
E-mail |
radoslav.skoviera  cvut.cz |
Tel |
+420-22435-4222 |
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Affiliation |
Czech Institute of Informatics, Cybernetics, and Robotics
Czech Technical University in Prague |
Research group |
Robotics and Machine Perception (37240) |
Office |
B-611a, Jugoslavskych partyzanu 3, 160 00 Praha 6 |
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Teaching |
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Publications |
- Radoslav Škoviera and Ivan Bajla. Image classification based on hierarchical
temporal memory and color features. In J. Manka, Viktor
Witkovský, M. Tyšler, and I. Frollo, editors, 9th International Conference
on Measurement, pages 63–66. Institute of Measurement Science,
SAS, 2013.
- Radoslav Škoviera, Ivan Bajla, and Júlia Kucerová. Object recognition
in clutter color images using hierarchical temporal memory combined
with salient-regions detection. In M.H. Hamza, editor, IASTED Computational
Intelligence, pages 245–254. ACTA Press, 2015.
- Radoslav Škoviera, Zuzana Rošt’áková, Anna Krakovská, and Roman
Rosipal. Spectral and complexity characteristics of sleep eeg following
ischemic stroke. 6th International Young Biomedical Engineers and
Researchers Conference, 12:108–114, 2014.
- Radoslav Škoviera, Kristián Valentín, Svorad Štolc, and Ivan Bajla. Recognition of untrustworthy face images in atm sessions using a bioinspired
intelligent network. In Maria De Marsico and Ana L. N.
Fred, editors, ICPRAM, pages 511–517. SciTePress, 2013.
- Radoslav Škoviera, Kristián Valentín, Svorad Štolc, and Ivan Bajla. Detekcia
anomálneho správania biologicky inšpirovanou sietou. Technical
Report E-talent 2010et019, Ústav merania SAV, 2012.
- Svorad Štolc, Ivan Bajla, Kristián Valentín, and Radoslav Škoviera. Temporal pooling method for rapid htm learning applied to geometric
object recognition. In J. Manka, Viktor Witkovský, M. Tyšler, and
I. Frollo, editors, Proceedings of the 8th International Conference on
Measurement, pages 59–64. Institute of Measurement Science, SAS,
2011.
- Svorad Štolc, Ivan Bajla, Kristián Valentín, and Radoslav Škoviera. Pairwise
temporal pooling method for rapid training of the htm networks
used in computer vision applications. Computing and Informatics,
31(4):901–919, 2012.
- Anna Krakovská, Radoslav Škoviera, Georg Dorffner, and Roman
Rosipa. Does the complexity of sleep eeg increase or decrease with
age? In J. Manka, Viktor Witkovský, M. Tyšler, and I. Frollo, editors, Proceedings of the 10th International Conference on Measurement. Institute of Measurement Science, SAS, 2015.
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Education and Experience |
2011 - 2016: Research Assistant at the Department of Theoretical Methods, Institute of
Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia.
2015 - PhD degree in Informatics at the Institute of
Measurement Science, SAS; thesis: Utilization of self-organized learning in hierarchical HTM networks for
object recognition in image databases (supervisor prof. RNDr. Ing. Ivan Bajla, CSc.)
2010 - MSc degree in Cognitive Science at the Department of applied informatics, Faculty of Mathematics, Physics, and Informatics,
Comenius University in Bratislava. |