doc. Ing.

Jaroslav Zendulka

CSc.

FIT, UIFS – docent

+420 54114 1241
zendulka@fit.vutbr.cz

Odeslat VUT zprávu

doc. Ing. Jaroslav Zendulka, CSc.

Publikace

  • 2018

    HLOSTA, M.; ZDRÁHAL, Z.; ZENDULKA, J. Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data. KNOWLEDGE-BASED SYSTEMS, 2018, roč. 2018, č. 160, s. 278-295. ISSN: 0950-7051.
    Detail | WWW

    PASTUSHENKO, O.; HRUŠKA, T.; ZENDULKA, J. Increasing students' motivation by using virtual learning environments based on gamification mechanics. In ACM International Conference Proceeding Series. Salamanca: Association for Computing Machinery, 2018. s. 755-760. ISBN: 978-1-4503-6518-5.
    Detail | WWW

    HON, J.; MARUŠIAK, M.; MARTÍNEK, T.; ZENDULKA, J.; BEDNÁŘ, D.; DAMBORSKÝ, J. SoluProt: Prediction of Protein Solubility. In DAZ & WIKT 2018 Proceedings. Brno: Brno University of Technology, 2018. s. 261-265. ISBN: 978-80-214-5679-2.
    Detail | WWW

  • 2017

    ZELENÝ, J.; BURGET, R.; ZENDULKA, J. Box Clustering Segmentation: A New Method for Vision-based Page Preprocessing. INFORMATION PROCESSING & MANAGEMENT, 2017, roč. 53, č. 3, s. 735-750. ISSN: 0306-4573.
    Detail | WWW

    HON, J.; MARTÍNEK, T.; ZENDULKA, J.; LEXA, M. pqsfinder: an exhaustive and imperfection-tolerant search tool for potential quadruplex-forming sequences in R. BIOINFORMATICS, 2017, roč. 33, č. 21, s. 3373-3379. ISSN: 1367-4803.
    Detail | WWW

    MUSIL, M.; ŠTOURAČ, J.; BENDL, J.; BREZOVSKÝ, J.; PROKOP, Z.; ZENDULKA, J.; MARTÍNEK, T.; BEDNÁŘ, D.; DAMBORSKÝ, J. FireProt: web server for automated design of thermostable proteins. Nucleic Acids Research, 2017, roč. 45, č. 1, s. 393-399. ISSN: 1362-4962.
    Detail

    KUPKOVÁ, K.; PROVAZNÍK, I.; SEDLÁŘ, K.; HON, J.; MARTÍNEK, T.; ZENDULKA, J. Visualization of Nanopore Sequencing Data in Metagenomics. Praha: 2017. s. 1 (1 s.).
    Detail | WWW

    HLOSTA, M.; ZDRÁHAL, Z.; ZENDULKA, J. Ouroboros: Early identification of at-risk students without models based on legacy data. In LAK '17 Proceedings of the Seventh International Learning Analytics & Knowledge Conference. Vancouver: Association for Computing Machinery, 2017. s. 6-15. ISBN: 978-1-4503-4870-6.
    Detail | WWW

  • 2016

    BENDL, J.; MUSIL, M.; ŠTOURAČ, J.; ZENDULKA, J.; DAMBORSKÝ, J.; BREZOVSKÝ, J. PredictSNP2: A unified platform for accurately evaluating SNP effects by exploiting the different characteristics of variants in distinct genomic regions. PLoS Computational Biology, 2016, roč. 12, č. 5, s. 1-18. ISSN: 1553-7358.
    Detail | WWW

    FIALA, J.; ZENDULKA, J. Mentally challenged as design principles and models for their applications. Applied Computer Science, 2016, roč. 12, č. 4, s. 28-48. ISSN: 1895-3735.
    Detail

  • 2015

    CHMELAŘ, P.; DROZD, M.; ŠEBEK, M.; ZENDULKA, J. Real-Time Indexing of Complex Data Streams. In Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering. Lecture Notes in Electrical Engineering. Cham: Springer International Publishing, 2015. s. 371-378. ISBN: 978-3-319-06772-8.
    Detail | WWW

  • 2014

    BENDL, J.; ŠTOURAČ, J.; ŠALANDA, O.; PAVELKA, A.; WIEBEN, E.; ZENDULKA, J.; BREZOVSKÝ, J.; DAMBORSKÝ, J. PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations. PLoS Computational Biology, 2014, roč. 10, č. 1, s. 1-11. ISSN: 1553-7358.
    Detail | WWW

  • 2013

    VRÁBELOVÁ, P.; ŠKODA, P.; ZENDULKA, J. Wavelet Based Feature Extraction for Clustering of Be Stars. In Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems. Volume 210 of Advances in Intelligent Systems and Computing. New York: Springer US, 2013. s. 467-474. ISBN: 978-3-319-00541-6.
    Detail | WWW

    ŠEBEK, M.; HLOSTA, M.; ZENDULKA, J.; HRUŠKA, T. MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns. In 9th International Conference, ADMA 2013. Lecture Notes in Computer Science. Hangzhou: Springer Verlag, 2013. s. 157-168. ISBN: 978-3-642-53913-8.
    Detail | WWW

    HLOSTA, M.; ŠEBEK, M.; ZENDULKA, J. Approach to Visualisation of Evolving Association Rule Models. In Proceedings of The Second International Conference on Informatics & Applications (ICIA 2013). Łódź: The Society of Digital Information and Wireless Communications, 2013. s. 47-52. ISBN: 978-1-4673-5255-0.
    Detail | WWW

    VRÁBELOVÁ, P.; BAŘINA, D.; ŠKODA, P.; ZENDULKA, J.; VÁŽNÝ, J. Classification of Be Stars Using Feature Extraction Based on Discrete Wavelet Transform. In Proceedings of conferences Datakon and Znalosti 2013. Ostrava: VŠB-Technical University of Ostrava, 2013. s. 95-102. ISBN: 978-80-248-3189-3.
    Detail | WWW

    VRÁBELOVÁ, P.; BAŘINA, D.; ŠKODA, P.; VÁŽNÝ, J.; ZENDULKA, J. Classification of Spectra of Emission-line Stars Using Feature Extraction Based on Wavelet Transform. In Proceedings of 23rd Annual Astronomical Data Analysis Software and Systems (ADASS) Conference. San Francisco: Astronomical Society of the Pacific, 2013. s. 177-180. ISBN: 978-1-58381-854-1.
    Detail | WWW

    CHMELAŘ, P.; PEŠEK, M.; VOLF, T.; ZENDULKA, J.; FRÖML, V. VTApi: an Efficient Framework for Computer Vision Data Management and Analytics. In Advanced Concepts for Intelligent Vision Systems (ACIVS) - Proceedings of the 15th International Conference, ACIVS 2013. Lecture Notes in Computer Science (LNCS), Volume 8192 2013. Poznań: Springer London, 2013. s. 378-388. ISBN: 978-3-319-02894-1.
    Detail | WWW

    ŠEBEK, M.; ZENDULKA, J. Generator of Synthetic Datasets for Hierarchical Sequential Pattern Mining Evaluation. In Proceedings of the Twelfth International Conference on Informatics 2013. Košice: The University of Technology Košice, 2013. s. 289-292. ISBN: 978-80-8143-127-2.
    Detail | WWW

    HLOSTA, M.; STRÍŽ, R.; KUPČÍK, J.; ZENDULKA, J.; HRUŠKA, T. Constrained Classification of Large Imbalanced Data by Logistic Regression and Genetic Algorithm. International Journal of Machine Learning and Computing, 2013, roč. 2013, č. 3, s. 214-218. ISSN: 2010-3700.
    Detail | WWW

    HLOSTA, M.; STRÍŽ, R.; ZENDULKA, J.; HRUŠKA, T. PSO-based Constrained Imbalanced Data Classification. In Proceedings of the Twelth International Conference on Informatics INFORMATICS'2013. Spišská Nová Ves: The University of Technology Košice, 2013. s. 234-239. ISBN: 978-80-8143-127-2.
    Detail | WWW

  • 2012

    ŠEBEK, M.; HLOSTA, M.; KUPČÍK, J.; ZENDULKA, J.; HRUŠKA, T. Multi-level Sequence Mining Based on GSP. Acta Electrotechnica et Informatica, 2012, roč. 2012, č. 2, s. 31-38. ISSN: 1335-8243.
    Detail | WWW

    ZENDULKA, J.; PEŠEK, M. Mining Moving Object Data. Central European Journal of Computer Science, 2012, roč. 2, č. 3, s. 183-193. ISSN: 1896-1533.
    Detail | WWW

    BENDL, J.; ZENDULKA, J. Integration System for Functional Annotation of Single Nucleotide Polymorphism. ElectroScope - http://www.electroscope.zcu.cz, 2012, roč. 2012, č. 5, s. 0-0. ISSN: 1802-4564.
    Detail | WWW

    ŠKODA, P.; VRÁBELOVÁ, P.; ZENDULKA, J. Feature Extraction Using Wavelet Power Spectrum for Stellar Spectra Clustering. In Proceedings of the 11th annual conference Znalosti 2012. Praha: 2012. s. 31-40. ISBN: 978-80-7378-220-7.
    Detail | WWW

  • 2011

    ŠEBEK, M.; HLOSTA, M.; ZENDULKA, J. Knowledge Discovery in Data with FIT-Miner. In Znalosti 2011: Sborník příspěvků 10. ročníku konference. Stará Lesná: VŠB-Technical University of Ostrava, 2011. s. 182-193. ISBN: 978-80-248-2369-0.
    Detail

    ZENDULKA, J. Mining Moving Object Data. In Proceedings of the Eleventh International Conference on Informatics. Košice: Faculty of Electrical Engineering and Informatics, University of Technology Košice, 2011. s. 16-21. ISBN: 978-80-89284-94-8.
    Detail

    ŠEBEK, M.; HLOSTA, M.; KUPČÍK, J.; ZENDULKA, J.; HRUŠKA, T. Multi-level Sequence Mining Based on GSP. In Proceedings of the Eleventh International Conference on Informatics INFORMATICS'2011. 1. Košice: Faculty of Electrical Engineering and Informatics, University of Technology Košice, 2011. s. 185-190. ISBN: 978-80-89284-94-8.
    Detail

  • 2010

    DVOŘÁK, R.; FIALA, J.; ZENDULKA, J.; ZBOŘIL, F. The Design of Self-Developmental Model of Atmospheric Pollutant Dispersion. In Proceedings of the 7th EUROSIM Congress on Modelling and Simulation. Praha: Czech Technical University Publishing House, 2010. s. 1-6. ISBN: 978-80-01-04589-3.
    Detail

    RYCHLÝ, M.; ZENDULKA, J. Modelling of Component-Based Systems with Mobile Architecture. Brno: Faculty of Information Technology BUT, 2010. 139 s. ISBN: 978-80-214-4211-5.
    Detail | WWW

    BURGETOVÁ, I.; ZENDULKA, J.; LEXA, M. Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments. In Information Technology in Bio- and Medical Informatics, ITBAM 2010. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2010. s. 94-101. ISBN: 978-3-642-15019-7.
    Detail

    BURGETOVÁ, I.; ZENDULKA, J.; LEXA, M. Clustering Techniques for Protein Fragments Analysis. Brno: Faculty of Information Technology BUT, 2010. 102 s. ISBN: 978-80-214-4207-8.
    Detail

  • 2009

    ZENDULKA, J. Object-Relational Modeling. In Handbook of Research on Innovations in Database Technologies and Applications. Volume 1. Hershey, New York: IGI Global, 2009. s. 162-170. ISBN: 978-1-60566-242-8.
    Detail

    CHMELAŘ, P.; BURGETOVÁ, I.; ZENDULKA, J. Clustering for Video Retrieval. In Data Warehousing and Knowledge Discovery. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2009. s. 390-401. ISBN: 978-3-642-03729-0.
    Detail

  • 2008

    BARTÍK, V.; ZENDULKA, J. Distance-Based Methods for Association Rules Mining. In Encyclopedia of Data Warehousing and Mining. Volume 2. Hershey, New York: IGI Global, 2008. s. 689-694. ISBN: 978-1-60566-010-3.
    Detail

  • 2007

    CHMELAŘ, P.; ZENDULKA, J. Visual Surveillance Metadata Management. In Eighteenth International Workshop on Database and Expert Systems Applications. IEEE CPS. Regensburg: IEEE Computer Society Press, 2007. s. 79-83. ISBN: 978-0-7695-2932- 5.
    Detail

    WEISS, P.; ZENDULKA, J. Modeling of Services and Service Collaboration in UML 2. 0. In Information Systems and Formal Models. Opava: Faculty of Philosophy and Science in Opava, Silesian university in Opava, 2007. s. 29-36. ISBN: 978-80-7248-006- 7.
    Detail

  • 2006

    OPRŠAL, Z.; FIEDLER, Z.; ZENDULKA, J. Jak získávat a uplatňovat znalosti při rozvoji IS. In DATAKON 2006 Proceedings of the Annual Database conference. Brno: Masarykova universita, 2006. s. 149-158. ISBN: 80-210-4102- 1.
    Detail

    RYCHLÝ, M.; ZENDULKA, J. Distributed Information System as a System of Asynchronous Concurrent Processes. In MEMICS 2006 Second Doctoral Workshop on Mathematical and Engineering Methods in Computer Science. Mikulov: Faculty of Information Technology BUT, 2006. s. 206-213. ISBN: 80-214-3287- X.
    Detail

    BURGETOVÁ, I.; ZENDULKA, J. Clustering of Protein Sequences. In Proceedings of 1st International Workshop WFM' 06. Přerov: 2006. s. 71-78. ISBN: 80-86840-20- 4.
    Detail

  • 2005

    ZENDULKA, J. Object- Relational Modeling in the UML. In Encyclopedia of Database Technologies and Applications. Hershey: Idea Group Publishing, 2005. s. 421-426. ISBN: 1-59140-560- 2.
    Detail

    ZENDULKA, J. Using Standard APIs for Data Mining in Prediction. In Encyclopedia of Data Warehousing and Mining. Volume 2. Hershey: Idea Group Publishing, 2005. s. 1171-1174. ISBN: 1-59140-557- 2.
    Detail

    ZENDULKA, J. Proceedings of 8th Spring International Conference ISIM' 05. Ostrava: 2005. ISBN: 80-86840-09- 02.
    Detail

    ZENDULKA, J. API Standardization Efforts for Data Mining. In Encyclopedia of Data Warehousing and Mining. Volume 1. Hershey: Idea Group Publishing, 2005. s. 39-43. ISBN: 1-59140-557- 2.
    Detail

  • 2004

    HECKEL, M., ZENDULKA, J. Data Mining and Its Use in Texture Analysis. Fundamenta Informaticae, 2004, roč. 2004, č. 60, s. 173-186. ISSN: 0169- 2968.
    Detail

  • 2003

    BARTÍK, V., ZENDULKA, J. Mining Association Rules from Relational Data - Average Distance Based Method. Lecture Notes in Computer Science, 2003, roč. 2003, č. 2888, s. 757-766. ISSN: 0302- 9743.
    Detail

    KOTÁSEK, P., ZENDULKA, J. Data Cleaning Functionality in DMSL. In Proceedings of 6th International Conference ISIM' 03 Information Systems Implementation and Modelling. Ostrava: 2003. s. 99-108. ISBN: 80-85988-84- 4.
    Detail

    HECKEL, M., ZENDULKA, J. Data Mining and Its Use in Texture Analysis. In Proceedings of the CS&P' 2003 Workshop. Warsaw: Warsaw University, 2003. s. 225-234. ISBN: 83-88374-71- 0.
    Detail

  • 2002

    ELBL, L., HRSTKOVÁ, H., CHALOUPKA, V., NOVOTNÝ, J. Development of IT Education at Brno University of Technology. In EAIR 24th Annual EAIR Forum. Amsterodam: 2002. s. 27-28.
    Detail

    ZENDULKA, J. Databázové systémy. Učební texty pro předmět DSI, obor IT. Brno: 2002. s. 0 ( s.)
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    ZENDULKA, J., KUBÍČEK, V. Construction of a Fuzzy Grammar from a Set of Sentences. In Knowledge- Based Software Engineering. Proceedings of the internetaional conference SOFSEM'02, Maribor. Amsterdam: IOS Press, 2002. s. 108-115. ISBN: 1-58603-274- 7.
    Detail

    KOTÁSEK, P., ZENDULKA, J. Describing the Data Mining Process with DMSL. In Advances in Database and Information Systems. Vol. 2: Research Communications. Bratislava: Slovak University of Technology in Bratislava, 2002. s. 131-140. ISBN: 80-227-1744- 4.
    Detail

    HRUŠKA, T., ZENDULKA, J., ČEŠKA, M. Education in Information Technology at Brno University of Technology. In Proceedings of the International Conference - Advances in Infrastructure for e-business, e-education, e-science, and e- medicine on the Internet. L' Aquila: SSGRR Telecom Italia Learning Services, 2002. s. 1 ( s.)ISBN: 88-85280-62- 5.
    Detail

  • 2001

    ZENDULKA, J. Object- Relational Modeling in UML. In Proceedings of the Conference Information Systems Modelling. Ostrava: 2001. s. 17-24. ISBN: 80-85988-51- 8.
    Detail

    HRUŠKA, T., ZENDULKA, J. Study Programmes in Information Technology at Brno University of Technology. In MOSIS 01 Conference Proceedings. Hradec nad Moravicí: 2001. s. 11-22. ISBN: 80-85988-57- 7.
    Detail

*) Citace publikací se generují jednou za 24 hodin.