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Jiri Dvorský
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2020 – today
- 2024
- [j2]Lukás Klein
, Jirí Dvorský, David Seidl, Lukás Prokop:
Novel lossy compression method of noisy time series data with anomalies: Application to partial discharge monitoring in overhead power lines. Eng. Appl. Artif. Intell. 133: 108267 (2024) - [c61]Lukás Klein
Usability of cGAN for Partial Discharge Detection in Covered Conductors. CISIM 2024: 246-260 - [e5]Khalid Saeed
Computer Information Systems and Industrial Management - 23rd International Conference, CISIM 2024, Bialystok, Poland, September 27-29, 2024, Proceedings. Lecture Notes in Computer Science 14902, Springer 2024, ISBN 978-3-031-71114-5 [contents] - 2023
- [j1]Lukás Klein
Antenna contactless partial discharges detection in covered conductors using ensemble stacking neural networks. Expert Syst. Appl. 213(Part): 118910 (2023) - [c60]Nguyen Trong Nhan
Combining Dynamic Programming and GPU to accelerate k-Distance Discord Detection in Time Series Data. MLMI 2023: 106-113 - [e4]Khalid Saeed
Computer Information Systems and Industrial Management - 22nd International Conference, CISIM 2023, Tokyo, Japan, September 22-24, 2023, Proceedings. Lecture Notes in Computer Science 14164, Springer 2023, ISBN 978-3-031-42822-7 [contents] - 2022
- [e3]Khalid Saeed
Computer Information Systems and Industrial Management - 21st International Conference, CISIM 2022, Barranquilla, Colombia, July 15-17, 2022, Proceedings. Lecture Notes in Computer Science 13293, Springer 2022, ISBN 978-3-031-10538-8 [contents] - 2021
- [e2]Khalid Saeed, Jirí Dvorský
Computer Information Systems and Industrial Management - 20th International Conference, CISIM 2021, Ełk, Poland, September 24-26, 2021, Proceedings. Lecture Notes in Computer Science 12883, Springer 2021, ISBN 978-3-030-84339-7 [contents] - 2020
- [e1]Khalid Saeed
Computer Information Systems and Industrial Management - 19th International Conference, CISIM 2020, Bialystok, Poland, October 16-18, 2020, Proceedings. Lecture Notes in Computer Science 12133, Springer 2020, ISBN 978-3-030-47678-6 [contents]
2010 – 2019
- 2018
- [c59]Lukás Vojácek
Growing Neural Gas Based on Data Density. CISIM 2018: 314-323 - [c58]Vojtech Cima
HyperLoom: A Platform for Defining and Executing Scientific Pipelines in Distributed Environments. PARMA-DITAM@HiPEAC 2018: 1-6 - 2017
- [c57]Lukás Vojácek
Optimalization of Parallel GNG by Neurons Assigned to Processes. CISIM 2017: 63-72 - [c56]Vojtech Cima, Stanislav Böhm, Jan Martinovic
HyperLoom Possibilities for Executing Scientific Workflows on the Cloud. CISIS 2017: 397-406 - 2016
- [c55]Jirí Hanzelka, Jiri Dvorský:
Flexible Neural Trees - Parallel Learning on HPC. ACSS (2) 2016: 67-77 - [c54]Jirí Hanzelka, Robert Skopal, Katerina Slaninová
Graph Problems Performance Comparison Using Intel Xeon and Intel Xeon-Phi. ACSS (1) 2016: 73-83 - [c53]Jiri Sevcík, Jiri Dvorský:
Techniques of Czech Language Lossless Text Compression. CISIM 2016: 265-276 - [c52]Lukás Vojácek
Optimization of Combining of Self Organizing Maps and Growing Neural Gas. CISIM 2016: 277-286 - 2015
- [c51]Lukás Vojácek
Self Organizing Maps with Delay Actualization. CISIM 2015: 154-165 - [c50]Jan Caha
Predicting PM10 Concentrations Using Fuzzy Kriging. HAIS 2015: 371-381 - 2014
- [c49]Lukás Vojácek, Pavla Drázdilová, Jiri Dvorský:
Combination of Self Organizing Maps and Growing Neural Gas. CISIM 2014: 100-111 - [c48]Lukás Marek, Vit Paszto, Pavel Tucek, Jiri Dvorský:
Spatial Clustering of Disease Events Using Bayesian Methods. DATESO 2014: 25-34 - [c47]Jan Caha
Constraint and Preference Modelling for Spatial Decision Making with Use of Possibility Theory. HAIS 2014: 145-155 - 2013
- [c46]Lukás Vojácek
Growing Neural Gas - A Parallel Approach. CISIM 2013: 408-419 - [c45]Michal Holis, Lenka Skanderová
Solving Steel Alloying Using Differential Evolution and SOMA. CISIM 2013: 453-464 - [c44]Lukás Marek, Vit Paszto, Jiri Dvorský, Pavel Tucek:
On Estimation of the Spatial Clustering: Case Study of Epidemiological Data In Olomouc Region, Czech Republic. DATESO 2013: 1-12 - [c43]Zbynek Janoska, Jiri Dvorský:
P System Based Model of Passenger Flow in Public Transportation Systems: a Case Study of Prague Metro. DATESO 2013: 59-69 - [c42]Michal Holis, Martin Placek, Jiri Dvorský, Jan Martinovic, Pavel Moravec:
Using Retinex and SVD Algorithms for Detection of Frayed Edge in Steel Plate. DATESO 2013: 87-97 - [c41]Jan Caha
Querying on Fuzzy Surfaces with Vague Queries. HAIS 2013: 548-557 - [c40]Jiri Dvorský, Vit Paszto, Lenka Skanderová
Geodata Scale Restriction Using Genetic Algorithm. IBICA 2013: 215-223 - [c39]Jan Caha
Comparison of Crisp, Fuzzy and Possibilistic Threshold in Spatial Queries. IBICA 2013: 239-248 - [c38]Lukás Vojácek
Scalable parallel SOM learning for web user profiles. ISDA 2013: 283-288 - 2012
- [c37]Jiri Dvorský, Zbynek Janoska, Lukás Vojácek:
P Systems for Traffic Flow Simulation. CISIM 2012: 405-415 - [c36]Zbynek Janoska, Jiri Dvorský:
P systems: State of the Art with Respect to Representation of Geographical Space. DATESO 2012: 13-24 - [c35]Tomás Kocyan, Jan Martinovic, Stepan Kuchar, Jiri Dvorský:
Unsupervised Algorithm for Post-Processing of Roughly Segmented Categorical Time Series. DATESO 2012: 81-92 - [c34]Eliska Ochodkova, Jiri Dvorský, Pavel Krömer
On Fitness Function Based upon Quasigroups Power Sequences. CISIS/ICEUTE/SOCO Special Sessions 2012: 141-150 - 2011
- [c33]Tomás Kocyan, Jan Martinovic
Czech Text Segmentation Using Voting Experts and Its Comparison with Menzerath-Altmann law. CISIM 2011: 152-160 - [c32]Lukás Vojácek
Parallel Hybrid SOM Learning on High Dimensional Sparse Data. CISIM 2011: 239-246 - [c31]Peter Scherer, Martin Vicher, Pavla Drázdilová, Jan Martinovic, Jiri Dvorský, Václav Snásel:
Using SVM and Clustering Algorithmsin IDS Systems. DATESO 2011: 108-119 - [c30]Lukás Vojácek, Jan Martinovic, Katerina Slaninová, Pavla Drázdilová, Jiri Dvorský:
Combined Method for Effective Clustering based on Parallel SOM and Spectral Clustering. DATESO 2011: 120-131 - [c29]Michal Krátký
Index-based n-gram extraction from large document collections. ICDIM 2011: 73-78 - [c28]Eliska Ochodkova, Pavel Krömer
Genetic search for quasigroups with heterogeneous power sequences. NaBIC 2011: 533-539 - 2010
- [c27]Pavel Hruska, Jan Martinovic
XML compression improvements based on the clustering of elements. CISIM 2010: 217-221 - [c26]Jiri Dvorský, Eliska Ochodkova, Václav Snásel:
Quasigroups with good statistical properties. CISIM 2010: 244-249 - [c25]Jiri Dvorský, Václav Snásel, Vit Vozenilek
On maps comparison methods. CISIM 2010: 557-562 - [c24]Václav Snásel, Jiri Dvorský, Eliska Ochodkova, Pavel Krömer, Jan Platos, Ajith Abraham:
Evolving Quasigroups by Genetic Algorithms. DATESO 2010: 108-117 - [c23]Eliska Ochodkova, Jiri Dvorský, Václav Snásel, Ajith Abraham:
Testing Quasigroup Identities using Product of Sequence. DATESO 2010: 155-162 - [c22]Václav Snásel, Jiri Dvorský, Eliska Ochodkova, Pavel Krömer, Jan Platos, Ajith Abraham:
Genetic Algorithms Evolving Quasigroups with Good Pseudorandom Properties. ICCSA (3) 2010: 472-482 - [c21]Jiri Dvorský, Stanislav Misák
On Wind Power Station Production Prediction. NDT (2) 2010: 656-668
2000 – 2009
- 2009
- [c20]Dusan Húsek
Social Group Identification and Clustering. CASoN 2009: 73-79 - [c19]Václav Snásel, Ajith Abraham, Jiri Dvorský, Pavel Krömer
Hash Functions Based on Large Quasigroups. ICCS (1) 2009: 521-529 - [c18]Eliska Ochodkova, Jiri Dvorský, Václav Snásel, Ajith Abraham:
Testing the properties of large quasigroups. ICUMT 2009: 1-7 - [c17]Jiri Dvorský, Václav Snásel, Vit Vozenilek
Map Similarity Testing Using Matrix Decomposition. INCoS 2009: 290-294 - [c16]Václav Snásel, Ajith Abraham, Jiri Dvorský, Eliska Ochodkova, Jan Platos
Searching for Quasigroups for Hash Functions with Genetic Algorithms. NaBIC 2009: 367-372 - [c15]Eliska Ochodkova, Jiri Dvorský, Václav Snásel, Ajith Abraham:
Large Quasigroups in Cryptography and their Properties Testing. NaBIC 2009: 965-971 - [c14]Jiri Dvorský, Jan Martinovic, Václav Snásel, Lukás Adamus, Michal Gacek, Radim Baca:
Analysis of biosignal with information retrieval methods. PDeS 2009: 167-171 - 2008
- [c13]Anton Timofieiev, Václav Snásel, Jiri Dvorský:
H-Index Calculation in Enron Corpus. ICSOFT (ISDM/ABF) 2008: 206-211 - [c12]Václav Snásel, Jiri Dvorský, Anton Timofieiev, Jaroslav Pokorný:
H-Index Analysis of Enron Corpus. ISDA (2) 2008: 138-144 - [i1]Jan Platos, Jiri Dvorský:
Word-Based Text Compression. CoRR abs/0804.3680 (2008) - 2007
- [c11]Jiri Dvorský, Jan Martinovic:
Improvement of Text Compression Parameters Using Cluster Analysis. DATESO 2007 - [c10]Jiri Dvorský:
Self-organizing maps and SVD. DEXA Workshops 2007: 143-147 - [c9]Jan Martinovic
Document Classification Based on the Topic Evaluation and Its Usage in Data Compression. Web Intelligence/IAT Workshops 2007: 204-207 - 2005
- [c8]Jiri Dvorský, Petr Gajdos, Eliska Ochodkova, Jan Martinovic, Václav Snásel:
Social Network Problem in Enron Corpus. ADBIS Research Communications 2005 - 2004
- [c7]Jiri Dvorský, Jan Martinovic, Václav Snásel:
Query Expansion and Evolution of Topic in Information Retrieval Systems. DATESO 2004: 117-127 - [c6]Jiri Dvorský, Michal Krátký:
Multi-dimensional Sparse Matrix Storage. DATESO 2004: 152-161 - 2003
- [c5]Jiri Dvorský, Michal Krátký, Tomás Skopal, Václav Snásel:
Term Indexing in Information Retrieval Systems. Communications in Computing 2003: 263-270 - 2000
- [c4]Jiri Dvorský, Václav Snásel:
Word-based Compression Method with Direct Access. Stringology 2000: 24-31 - [c3]Jiri Dvorský, Václav Snásel:
Word Random Access Compression. CIAA 2000: 331-332
1990 – 1999
- 1999
- [c2]Jiri Dvorský, Jaroslav Pokorný, Václav Snásel:
Word-Based Compression Methods and Indexing for Text Retrieval Systems. ADBIS 1999: 75-84 - [c1]Jiri Dvorský, Jaroslav Pokorný, Václav Snásel:
Word-based Compression Methods for Large Text Documents. Data Compression Conference 1999: 523
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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