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ORCIDPetr Gajdos
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2020 – today
- 2022
[c69]Markéta Vasinková, Michal Krumnikl, Zuzana Mikulková
, Petr Gajdos, Eva Kriegová:
Simple Approach for Dynamics Evaluation of Scratch Wound Healing Assay. INCoS 2022: 380-392- [c68]Vít Dolezí, Petr Gajdos, Marek Behálek, Michal Vasinek:
Restriction Site Detection in Optical Mapping Data. INCoS 2022: 393-402 - 2021
- [j11]Rostislav Hrivnák, Petr Gajdos, Václav Snásel:
Fast Hybrid Data Structure for a Large Alphabet K-Mers Indexing for Whole Genome Alignment. IEEE Access 9: 161890-161897 (2021) - [j10]Michal Vasinek, Marek Behálek, Petr Gajdos, Regina Fillerova, Eva Kriegová:
Determining optical mapping errors by simulations. Bioinform. 37(20): 3391-3397 (2021) - [j9]Jakub Savara, Tomás Novosád, Petr Gajdos, Eva Kriegová:
Comparison of structural variants detected by optical mapping with long-read next-generation sequencing. Bioinform. 37(20): 3398-3404 (2021) - [c67]Vít Dolezí, Petr Gajdos:
Analysis of Optical Mapping Data with Neural Network. INCoS 2021: 243-252 - 2020
- [c66]Rostislav Hrivnák, Petr Gajdos, Václav Snásel:
Towards Faster Matching Algorithm Using Ternary Tree in the Area of Genome Mapping. INCoS 2020: 413-424
2010 – 2019
- 2019
- [j8]Vojtech Uher, Petr Gajdos, Václav Snásel, Yu-Chi Lai, Michal Radecký:
Hierarchical Hexagonal Clustering and Indexing. Symmetry 11(6): 731 (2019) - [c65]Petr Gajdos, Marek Behálek, Jan Janousek, Pavel Krömer:
QDSOMA: Towards the Utilization of Quantum Computing within SOMA. CEC 2019: 2900-2907 - [c64]Vojtech Uher, Petr Gajdos, Václav Snásel:
A Hybrid Point Indexing Structure Based on Orthogonal and Hexagonal Grids. ICCMS 2019: 151-156 - 2018
- [j7]Michal Krátký, Stanislav Misák, Petr Gajdos, Petr Lukas, Radim Baca, Peter Chovanec:
A Novel Method for Detection of Covered Conductor Faults in Medium Voltage Overhead Line Systems. IEEE Trans. Ind. Electron. 65(1): 543-552 (2018) - [c63]Vojtech Uher, Petr Gajdos, Václav Snásel:
Proposal of Effective Orthogonal and Hexagonal Hierarchical Structures for Disc Queries. CRC 2018: 20-26 - 2017
- [c62]Vojtech Uher, Petr Gajdos, Václav Snásel:
Towards the Gosper Space Filling Curve Implementation. CYBCONF 2017: 1-8 - 2016
- [j6]Vojtech Uher, Petr Gajdos, Michal Radecký, Václav Snásel:
Utilization of the Discrete Differential Evolution for Optimization in Multidimensional Point Clouds. Comput. Intell. Neurosci. 2016: 6329530:1-6329530:14 (2016) - [j5]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) - [j4]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) - [c61]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 - [c60]Tomás Jezowicz, Petr Gajdos, Vojtech Uher, Stanislav Misák, Václav Snásel:
Improving the Speed and Quality of Extreme Learning Machine by Conjugate Gradient Method. AECIA 2016: 128-137 - [c59]Vojtech Uher, Petr Gajdos, Václav Snásel:
The Visualization of Large Graphs Accelerated by the Parallel Nearest Neighbors Algorithm. BigMM 2016: 9-16 - [c58]Pavel Krömer, Petr Gajdos:
Evaluation of differential evolution with interaction network on a real-parameter optimization benchmark. CEC 2016: 2974-2981 - [c57]Vojtech Uher, Petr Gajdos, Michal Radecký, Václav Snásel:
A Novel Approach of Applying the Differential Evolution to Spatial Discrete Data. ECAI 2016: 1555-1556 - [c56]Vojtech Uher, Petr Gajdos, Václav Snásel:
Searching of Circular Neighborhoods in the Square and Hexagonal Regular Grids. ECC 2016: 121-129 - [c55]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 - [c54]Vojtech Uher, Petr Gajdos, Michal Radecký, Václav Snásel:
A proposal of hierarchical vertex clustering based on the Gosper curve. SMC 2016: 632-637 - 2015
- [c53]Jan Janousek, Petr Gajdos, Michal Radecký, Václav Snásel:
Application of Bio-inspired Methods Within Cluster Forest Algorithm. AECIA 2015: 237-247 - [c52]Vojtech Uher, Petr Gajdos, Tomás Jezowicz:
Solving nearest neighbors problem on GPU to speed up the Fruchterman-Reingold graph layout algorithm. CYBCONF 2015: 305-310 - [c51]Vojtech Uher, Petr Gajdos, Tomás Jezowicz, Václav Snásel:
Application of Hexagonal Coordinate Systems for Searching the K-NN in 2D Space. IBICA 2015: 209-220 - [c50]Jan Janousek, Petr Gajdos, Michal Radecký, Václav Snásel:
Gaussian Mixture Model Cluster Forest. ICMLA 2015: 1019-1023 - [c49]Toma Jeowicz, Petr Gajdos, Vojtech Uher, Václav Snásel:
Classification with Extreme Learning Machine on GPU. INCoS 2015: 116-122 - [c48]Pavel Krömer, Petr Gajdos, Ivan Zelinka:
Towards a Network Interpretation of Agent Interaction in Ant Colony Optimization. SSCI 2015: 1126-1132 - [c47]Petr Gajdos, Pavel Krömer, Ivan Zelinka:
Network Visualization of Population Dynamics in the Differential Evolution. SSCI 2015: 1522-1528 - [c46]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 - [c45]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
- [j3]Petr Gajdos, Ivan Zelinka:
On the influence of different number generators on results of the symbolic regression. Soft Comput. 18(4): 641-650 (2014) - [j2]Petr Gajdos, Václav Snásel:
A new FCA algorithm enabling analyzing of complex and dynamic data sets. Soft Comput. 18(4): 683-694 (2014) - [c44]Tomás Peterek, Petr Gajdos, Pavel Dohnálek, Jana Krohová:
Human Fetus Health Classification on Cardiotocographic Data Using Random Forests. ECC (2) 2014: 189-198 - [c43]Tomás Peterek, Lukás Zaorálek, Pavel Dohnálek, Petr Gajdos:
Arrhythmias Classification Using Singular Value Decomposition and Support Vector Machine. ECC (2) 2014: 591-600 - [c42]Lukas Zaoralek, Tomas Peterek, Pavel Dohnálek, Petr Gajdos:
Comparison of Feature Reduction Methods in the Task of Arrhythmia Classification. IBICA 2014: 375-382 - [c41]Tomás Jezowicz, Petr Gajdos, Eliska Ochodkova, Václav Snásel:
A New Iterative Approach for Finding Nearest Neighbors Using Space-Filling Curves for Fast Graphs Visualization. SOCO-CISIS-ICEUTE 2014: 11-20 - [c40]Jan Janousek, Petr Gajdos, Michal Radecký, Václav Snásel:
Classification via Nearest Prototype Classifier Utilizing Artificial Bee Colony on CUDA. SOCO-CISIS-ICEUTE 2014: 21-30 - 2013
- [j1]Václav Snásel, Petr Klement, Petr Gajdos, Ajith Abraham:
Self Organising Maps on Compute Unified Device Architecture for the Performance Monitoring of Emergency Call-Taking Centre. Trans. Comput. Sci. 21: 339-366 (2013) - [c39]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 - [c38]Tomas Peterek, Marek Penhaker, Petr Gajdos, Pavel Dohnálek:
Comparison of Classification Algorithms for Physical Activity Recognition. IBICA 2013: 123-131 - [c37]Petr Gajdos, Pavel Dohnálek, Pavel Bobrov:
Common Tensor Discriminant Analysis for human brainwave recognition accelerated by massive parallelism. NaBIC 2013: 189-193 - [c36]Petr Gajdos, Pavel Moravec, Pavel Dohnálek, Tomás Peterek:
Mobile Sensor Data Classification Using GM-SOM. NOSTRADAMUS 2013: 487-496 - [c35]Pavel Dohnálek, Petr Gajdos, Tomás Peterek:
Tensor Modification of Orthogonal Matching Pursuit Based Classifier in Human Activity Recognition. NOSTRADAMUS 2013: 497-505 - [c34]Petr Gajdos, Michal Radecký, Miroslav Voznák:
Searching for Dependences within the System of Measuring Stations by Using Symbolic Regression. NOSTRADAMUS 2013: 517-528 - [c33]Pavel Dohnálek, Petr Gajdos, Tomas Peterek, Lukas Zaoralek:
Orthogonal Matching Pursuit Based Classifier for Premature Ventricular Contraction Detection. SOCO-CISIS-ICEUTE 2013: 201-210 - [c32]Tomas Peterek, Jana Krohova, Pavel Dohnálek, Petr Gajdos:
Classification of cardiotocography records by random forest. TSP 2013: 620-923 - [c31]Pavel Dohnálek, Petr Gajdos, Tomas Peterek:
Human activity recognition on raw sensor data via sparse approximation. TSP 2013: 700-703 - 2012
- [c30]Pavel Bednár, Petr Gajdos, Michal Krátký, Peter Chovanec:
Processing of Range Query Using SIMD and GPU. ADBIS Workshops 2012: 13-25 - [c29]Petr Gajdos, Pavel Moravec:
Intruder Data Classification Using GM-SOM. CISIM 2012: 92-100 - [c28]Lukas Zaoralek, Petr Gajdos:
CUDA code support in multiagent platform JADE. ISDA 2012: 546-551 - [c27]Petr Gajdos, Jan Platos:
Detecting Defects of Steel Slabs Using Symbolic Regression. SOCO 2012: 369-377 - [c26]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 - [c25]Michal Radecký, Petr Gajdos:
Intelligent Agents Design and Traffic Simulations. SOCO 2012: 525-535 - 2011
- [c24]Petr Gajdos, Pavel Moravec:
Using Two-Step Modified Parallel SOM for Song Year Prediction. ICDIPC (1) 2011: 160-169 - [c23]Petr Gajdos, Jan Platos:
GPU Based Parallelism for Self-Organizing Map. IHCI 2011: 231-242 - [c22]Petr Gajdos, Jan Platos, Petr Fiala:
Tension prediction by using ANN and SOM in heavy facilities. NaBIC 2011: 582-587 - 2010
- [c21]Petr Gajdos, Pavel Moravec, Václav Snásel:
Preprocessing methods for SVD-based iris recognition. CISIM 2010: 48-53 - [c20]Jan Platos, Petr Gajdos:
Large data real-time classification with Non-negative Matrix Factorization and Self-Organizing Maps on GPU. CISIM 2010: 176-181 - [c19]Petr Gajdos, Pavel Moravec:
Two-step Modified SOM for Parallel Calculation. DATESO 2010: 13-21 - [c18]Petr Gajdos, Jan Platos, Pavel Moravec:
Iris recognition on GPU with the usage of Non-Negative Matrix Factorization. ISDA 2010: 894-899 - [c17]Jan Platos, Petr Gajdos, Pavel Krömer, Václav Snásel:
Non-negative Matrix Factorization on GPU. NDT (1) 2010: 21-30 - [c16]Michal Radecký, Petr Gajdos, Radoslav Fasuga:
Agent Behavior Diagram for Intelligent Agents. NDT (2) 2010: 333-341
2000 – 2009
- 2009
- [c15]Petr Gajdos, Michal Radecký:
Web visualization support for disaster management. ICITST 2009: 1-6 - [c14]Michal Radecký, Petr Gajdos:
Traffic simulation and intelligent agents. ICITST 2009: 1-6 - [c13]Petr Gajdos, Michal Radecký:
Searching Common Pattern in Agents Behaviors with Usage of FCA. ISDA 2009: 1190-1195 - 2008
- [c12]Jan Martinovic, Petr Gajdos, Václav Snásel:
Similarity in Information Retrieval. CISIM 2008: 145-150 - [c11]Michal Radecký, Petr Gajdos:
Intelligent agents for traffic simulation. SpringSim 2008: 109-115 - [c10]Michal Radecký, Petr Gajdos:
Reconfigurable Intelligent Agents. UKSim 2008: 543-548 - 2007
- [c9]Václav Snásel, Petr Gajdos, Hussam M. Dahwa Abdulla, Martin Polovincak:
Using Matrix Decompositions in Formal Concept Analysis. ISIM 2007 - 2006
- [c8]Marie Duzí, Daniela Duráková, Pavel Dergel, Petr Gajdos, Jaroslav Müller:
Logic and Artificial Intelligence for Multi-Agent Systems. EJC 2006: 236-244 - [c7]Michal Radecký, Petr Gajdos:
Process and Logic Approaches in the Intelligent Agents Behavior. EJC 2006: 295-300 - 2005
- [c6]Jiri Dvorský, Petr Gajdos, Eliska Ochodkova, Jan Martinovic, Václav Snásel:
Social Network Problem in Enron Corpus. ADBIS Research Communications 2005 - [c5]Suhail S. J. Owais, Petr Gajdos, Václav Snásel:
Usage of Genetic Algorithm for Lattice Drawing. CLA 2005 - [c4]Jan Martinovic, Petr Gajdos:
Vector model improvement by FCA and Topic Evolution. DATESO 2005: 46-57 - [c3]Petr Gajdos, Daniela Duráková:
Object order based on concept analysis and Moebius Inversion Function. EJC 2005: 38-49 - 2004
- [c2]Petr Gajdos, Pavel Moravec, Václav Snásel:
Concept Lattice Generation by Singular Value Decomposition. CLA 2004 - [c1]Petr Gajdos, Václav Snásel:
Concepts Valuation by Conjugate Moebius Inverse. DATESO 2004: 74-83
Coauthor Index
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