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ORCIDPavel Dohnálek
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2010 – 2019
- 2016
[j2]Jan Janousek
, Petr Gajdos, Pavel Dohnálek, Michal Radecký:
Towards power plant output modelling and optimization using parallel Regression Random Forest. Swarm Evol. Comput. 26: 50-55 (2016)- [j1]Petr Gajdos, Tomás Jezowicz, Vojtech Uher, Pavel Dohnálek:
A parallel Fruchterman-Reingold algorithm optimized for fast visualization of large graphs and swarms of data. Swarm Evol. Comput. 26: 56-63 (2016) - [c16]Jan Janousek, Petr Gajdos, Pavel Dohnálek, Michal Radecký:
Fast Human Activity Recognition Based on a Massively Parallel Implementation of Random Forest. ACIIDS (2) 2016: 169-178 - [c15]Jan Vanus, Radek Martinek, Petr Bilik, Jan Zidek, Pavel Dohnálek, Petr Gajdos:
New method for accurate prediction of CO2 in the Smart Home. I2MTC 2016: 1-5 - 2015
- [c14]Petr Gajdos, Pavel Dohnálek, Roman Sebesta, Michal Radecký, Marek Dvorsky, Libor Michalek, Martin Tomis:
A signal strength fluctuation prediction model based on symbolic regression. TSP 2015: 1-5 - [c13]Tomas Peterek, Lukas Zaoralek, Pavel Dohnálek, Petr Gajdos:
Recognition of pathological beats in ECG signals based on Singular Value Decomposition of wavelet coefficients and support vector machine. TSP 2015: 1-5 - 2014
- [c12]Tomás Peterek, Petr Gajdos, Pavel Dohnálek, Jana Krohová:
Human Fetus Health Classification on Cardiotocographic Data Using Random Forests. ECC (2) 2014: 189-198 - [c11]Tomás Peterek, Lukás Zaorálek, Pavel Dohnálek, Petr Gajdos:
Arrhythmias Classification Using Singular Value Decomposition and Support Vector Machine. ECC (2) 2014: 591-600 - [c10]Lukas Zaoralek, Tomas Peterek, Pavel Dohnálek, Petr Gajdos:
Comparison of Feature Reduction Methods in the Task of Arrhythmia Classification. IBICA 2014: 375-382 - 2013
- [c9]Tomas Peterek, Pavel Dohnálek, Petr Gajdos, Maros Smondrk:
Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress. HIS 2013: 83-87 - [c8]Tomas Peterek, Marek Penhaker, Petr Gajdos, Pavel Dohnálek:
Comparison of Classification Algorithms for Physical Activity Recognition. IBICA 2013: 123-131 - [c7]Petr Gajdos, Pavel Dohnálek, Pavel Bobrov:
Common Tensor Discriminant Analysis for human brainwave recognition accelerated by massive parallelism. NaBIC 2013: 189-193 - [c6]Petr Gajdos, Pavel Moravec, Pavel Dohnálek, Tomás Peterek:
Mobile Sensor Data Classification Using GM-SOM. NOSTRADAMUS 2013: 487-496 - [c5]Pavel Dohnálek, Petr Gajdos, Tomás Peterek:
Tensor Modification of Orthogonal Matching Pursuit Based Classifier in Human Activity Recognition. NOSTRADAMUS 2013: 497-505 - [c4]Pavel Dohnálek, Petr Gajdos, Tomas Peterek, Lukas Zaoralek:
Orthogonal Matching Pursuit Based Classifier for Premature Ventricular Contraction Detection. SOCO-CISIS-ICEUTE 2013: 201-210 - [c3]Tomas Peterek, Jana Krohova, Pavel Dohnálek, Petr Gajdos:
Classification of cardiotocography records by random forest. TSP 2013: 620-923 - [c2]Pavel Dohnálek, Petr Gajdos, Tomas Peterek:
Human activity recognition on raw sensor data via sparse approximation. TSP 2013: 700-703 - 2012
- [c1]Pavel Dohnálek, Petr Gajdos, Tomas Peterek, Marek Penhaker:
Pattern Recognition in EEG Cognitive Signals Accelerated by GPU. CISIS/ICEUTE/SOCO Special Sessions 2012: 477-485
Coauthor Index
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