JANOUŠEK, Jan, Petr GAJDOŠ, Pavel DOHNÁLEK and Michal RADECKÝ. Towards power plant output modelling and optimization using parallel Regression Random Forest.
Swarm and Evolutionary Computation. Elsevier, 2016,
26(Ferbruary), p. 50-55. ISSN 2210-6502.
[Detail] GAJDOŠ, Petr, Tomáš JEŽOWICZ, Vojtěch UHER and Pavel DOHNÁLEK. A parallel Fruchterman-Reingold algorithm optimized for fast visualization of large graphs and swarms of data.
Swarm and Evolutionary Computation. Elsevier, 2016,
26(February), p. 56-63. ISSN 2210-6502.
[Detail] DOHNÁLEK, Pavel, Marek DVORSKÝ, Petr GAJDOŠ, Libor MICHALEK, Roman ŠEBESTA and Miroslav VOZŇÁK. A Signal Strength Fluctuation Prediction Model Based on the Random Forest Algorithm.
Elektronika ir elektrotechnika. Kaunas University of Technology, 2014,
20(5), p. 123-126. ISSN 1392-1215.
[Detail] DOHNÁLEK, Pavel, Petr GAJDOŠ and Tomáš PETEREK. Human activity recognition: classifier performance evaluation on multiple datasets.
Journal of Vibroengineering. Public Establishment "Vibroengineering", 2014,
16(3), p. 1523-1534. ISSN 1392-8716.
[Detail] GAJDOŠ, Petr, Pavel MORAVEC, Pavel DOHNÁLEK and Tomáš PETEREK. Mobile Sensor Data Classification Using GM-SOM.
Advances in Intelligent Systems and Computing. Volume 210. Heidelberg: Springer, 2013,
210(12), p. 487-496. ISSN 2194-5357.
[Detail] DOHNÁLEK, Pavel, Petr GAJDOŠ and Tomáš PETEREK. Tensor Modification of Orthogonal Matching Pursuit Based Classifier in Human Activity Recognition.
Advances in Intelligent Systems and Computing. Volume 210. Heidelberg: Springer, 2013,
210(12), p. 497-505. ISSN 2194-5357.
[Detail] DOHNÁLEK, Pavel, Petr GAJDOŠ, Pavel MORAVEC, Tomáš PETEREK and Václav SNÁŠEL. Application and comparison of modified classifiers for human activity recognition.
Przeglad elektrotechniczny. Warszawa: SIGMA-NOT, 2013,
89(11), p. 55-58. ISSN 0033-2097.
[Detail] VAŇUŠ, Jan, Radek MARTINEK, Petr BILÍK, Jan ŽÍDEK, Pavel DOHNÁLEK and Petr GAJDOŠ. New Method for Accurate Prediction of CO2 in the Smart Home. In:
2016 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE PROCEEDINGS. NEW YORK: IEEE, 2016. p. 1333-1337. ISBN 978-1-4673-9220-4.
[Detail] GAJDOŠ, Petr, Pavel DOHNÁLEK, Michal ČERBÁK and Jitka MOHYLOVÁ. An EEG classification approach based on intrinsic signal properties and wavelets. In:
Advances in Intelligent Systems and Computing. Volume 450. Basel: Springer, 2016. p. 135-145. ISBN 978-3-319-33608-4.
[Detail] JANOUŠEK, Jan, Petr GAJDOŠ, Pavel DOHNÁLEK and Michal RADECKÝ. Fast human activity recognition based on a massively parallel implementation of random forest. In:
Lecture Notes in Computer Science. Volume 9622. Berlin Heidelberg: Springer-Verlag Berlin Heidelberg, 2016. p. 169-178. ISBN 978-3-662-49389-2.
[Detail] PETEREK, Tomáš, Lukáš ZAORÁLEK, Pavel DOHNÁLEK and Petr GAJDOŠ. Recognition of pathological beats in ECG signals based on Singular Value Decomposition of wavelet coefficients and support vector machine. In:
TSP 2015 : 38th International Conference on Telecommunications and Signal Processing July 9-11, 2015. Prague, Czech Republic. Danvers: IEEE, 2015. ISBN 978-1-4799-8498-5.
[Detail] GAJDOŠ, Petr, Pavel DOHNÁLEK, Roman ŠEBESTA, Michal RADECKÝ, Marek DVORSKÝ, Libor MICHALEK and Martin TOMIS. A Signal Strength Fluctuation Prediction Model Based on Symbolic Regression. In:
TSP 2015 : 38th International Conference on Telecommunications and Signal Processing July 9-11, 2015. Prague, Czech Republic. Piscataway: IEEE, 2015. p. 50-54. ISBN 978-1-4799-8498-5.
[Detail] PETEREK, Tomáš, Marek PENHAKER, Petr GAJDOŠ and Pavel DOHNÁLEK. Comparison of Classification Algorithms for Physical Activity Recognition. In:
Advances in Intelligent Systems and Computing. Volume 237. New York: Springer, 2014. p. 123-131. ISBN 978-3-319-01780-8.
[Detail] DOHNÁLEK, Pavel, Petr GAJDOŠ, Tomáš PETEREK and Lukáš ZAORÁLEK. Orthogonal matching pursuit based classifier for premature ventricular contraction detection. In:
Advances in Intelligent Systems and Computing. Volume 239. New York: Springer, 2014. p. 201-210. ISBN 978-3-319-01853-9.
[Detail] PETEREK, Tomáš, Lukáš ZAORÁLEK, Pavel DOHNÁLEK and Petr GAJDOŠ. Arrhythmias classification using singular value decomposition and support vector machine. In:
Advances in Intelligent Systems and Computing. Volume 298. Berlin: Springer, 2014. p. 591-600. ISBN 978-3-319-07772-7.
[Detail] PETEREK, Tomáš, Petr GAJDOŠ, Pavel DOHNÁLEK and Jana KROHOVÁ. Human fetus health classification on cardiotocographic data using random forests. In:
Advances in Intelligent Systems and Computing. Volume 298. New York: Springer, 2014. p. 189-198. ISBN 978-3-319-07772-7.
[Detail] ZAORÁLEK, Lukáš, Tomáš PETEREK, Pavel DOHNÁLEK and Petr GAJDOŠ. Comparison of Feature Reduction Methods in the Task of Arrhythmia Classification. In:
Advances in Intelligent Systems and Computing. Volume 303. Berlin Heidelberg: Springer-Verlag Berlin Heidelberg, 2014. p. 375-382. ISBN 978-3-319-08155-7.
[Detail] PETEREK, Tomáš, Pavel DOHNÁLEK, Petr GAJDOŠ and Maroš ŠMONDRK. Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress. In:
Proceedings of the 2013 Thirteenth International Conference on Hybrid Intelligent Systems (HIS 2013) : Yassmine Hammamet, Tunisia, 04-06 December, 2013. Piscataway: IEEE, 2014. p. 83-87. ISBN 978-1-4799-2439-4.
[Detail] DOHNÁLEK, Pavel, Petr GAJDOŠ and Tomáš PETEREK. Human activity recognition on raw sensor data via sparse approximation. In:
2013 36th International Conference on Telecommunications and Signal Processing, TSP 2013. Brno: Vysoké učení technické v Brně, Fakulta strojního inženýrství, 2013. p. 700-703. ISBN 978-1-4799-0404-4.
[Detail] PETEREK, Tomáš, Jana KROHOVÁ, Pavel DOHNÁLEK and Petr GAJDOŠ. Classification of cardiotocography records by random forest. In:
2013 36th International Conference on Telecommunications and Signal Processing, TSP 2013. Brno: Vysoké učení technické v Brně, Fakulta strojního inženýrství, 2013. p. 620-623. ISBN 978-1-4799-0404-4.
[Detail] GAJDOŠ, Petr, Pavel DOHNÁLEK and Pavel Dmitrievitch BOBROV. Common tensor discriminant analysis for human brainwave recognition accelerated by massive parallelism. In:
2013 World Congress on Nature and Biologically Inspired Computing, NaBIC 2013. Oxford: Elsevier, 2013. p. 189-193. ISBN 978-1-4799-1415-9.
[Detail] DOHNÁLEK, Pavel, Petr GAJDOŠ, Tomáš PETEREK and Marek PENHAKER. Pattern recognition in EEG cognitive signals accelerated by GPU. In:
Advances in Intelligent Systems and Computing. Volume 189. Cham: Springer, 2013. p. 477-485. ISBN 978-3-642-33017-9.
[Detail] DOHNÁLEK, Pavel, Petr GAJDOŠ, Tomáš PETEREK and Václav SNÁŠEL. An overview of classification techniques for human activity recognition. In:
Vibroengineering Procedia. Kaunas: JVE International, 2013. p. 117-122. ISBN 0-000-00000-0.
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