default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPetr Gajdos
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-24 22:59 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
