Search results

  1. 1.
    0512089 - ÚI 2020 RIV DE eng C - Conference Paper (international conference)
    Fanta, M. - Pulc, P. - Holeňa, Martin
    Rules extraction from neural networks trained on multimedia data.
    ITAT 2019: Information Technologies – Applications and Theory. Aachen: Technical University & CreateSpace Independent Publishing, 2019 - (Barančíková, P.; Holeňa, M.; Horváth, T.; Pleva, M.; Rosa, R.), s. 26-35. CEUR Workshop Proceeding, 2473. ISSN 1613-0073.
    [ITAT 2019: Conference Information Technologies - Applications and Theory /19./. Donovaly (SK), 20.09.2019-24.09.2019]
    R&D Projects: GA ČR(CZ) GA18-18080S
    Institutional support: RVO:67985807
    Keywords : artificial neural networks * multilayer perceptrons * deep networks * rules extraction * multimedia data
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    http://ceur-ws.org/Vol-2473/paper4.pdf
    Permanent Link: http://hdl.handle.net/11104/0302294
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    0512089-aoa.pdf4439.9 KBOpenAccessPublisher’s postprintopen-access
     
     
  2. 2.
    0405551 - UIVT-O 330930 RIV SK cze C - Conference Paper (international conference)
    Holeňa, Martin
    Získávání logických tvrzení z dat jako významný směr dobývání znalostí z dat.
    [Extraction of Logical Statements from Data as an Important Direction of Data Mining.]
    ITAT 2005. Information Technologies - Applications and Theory. Košice: Prírodovedecká fakulta, Univerzita P. J. Šafárika, 2005 - (Vojtáš, P.), s. 311-322. ISBN 80-7097-609-8.
    [ITAT 2005. Račkova dolina (SK), 20.09.2005-25.09.2005]
    R&D Projects: GA AV ČR 1ET100300419
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : data mining * rules extraction from data * artificial neural networks
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125707
     
     
  3. 3.
    0396831 - ÚI 2014 RIV US eng C - Conference Paper (international conference)
    Holeňa, Martin - Ščavnický, M.
    Application of Copulas to Data Mining Based on Observational Logic.
    ITAT 2013: Information Technologies - Applications and Theory Workshops, Posters, and Tutorials. North Charleston: CreateSpace Independent Publishing Platform, 2013 - (Vinař, T.; Holeňa, M.; Lexa, M.; Peška, L.; Vojtáš, P.), s. 77-85. ISBN 978-1-4909-5208-6.
    [ITAT 2013. Conference on Theory and Practice of Information Technologies. Donovaly (SK), 11.09.2013-15.09.2013]
    R&D Projects: GA ČR GA13-17187S
    Institutional support: RVO:67985807
    Keywords : rules extraction from data * observational calculus * generalized quantifiers * copulas * hierarchical Archimedean copulas
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0224520
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    0396831.pdf103.2 MBPublisher’s postprintrequire
     
     
  4. 4.
    0348388 - ÚI 2011 RIV SK eng C - Conference Paper (international conference)
    Holeňa, Martin
    Two Ways of using Artifiial Neural Networks in Knowledge Discovery from Chemical Materials Data.
    Information Technologies - Applications and Theory. Seňa: Pont, 2010 - (Pardubská, D.), s. 17-24. ISBN 978-80-970179-4-1.
    [ITAT 2010. Conference on Theory and Practice of Information Technologies. Smrekovica (SK), 21.09.2010-25.09.2010]
    R&D Projects: GA ČR GA201/08/1744
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : knowledge discovery from data * chemical data mining * artificial neural networks * rules extraction * surrogate modelling
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0188936
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    a0348388.pdf12.4 MBPublisher’s postprintrequire
     
     
  5. 5.
    0338831 - ÚI 2010 RIV GB eng M - Monography Chapter
    Holeňa, Martin
    Fuzzification of some Statistical Principles of GUHA.
    Witnessed Years: Essays in Honour of Petr Hájek. London: College Publications, 2009 - (Cintula, P.; Haniková, Z.; Švejdar, V.), s. 129-140. Tributes, 10. ISBN 978-1-904987-63-5
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : rules extraction from data * method GUHA * generalized quantifiers * fuzzy hypotheses testing * testing quantifiers
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0182497
    FileDownloadSizeCommentaryVersionAccess
    0338831.pdf11 MBPublisher’s postprintopen-access
     
     
  6. 6.
    0323363 - ÚI 2010 RIV US eng J - Journal Article
    Holeňa, Martin
    Measures of Ruleset Quality for General Rules Extraction Methods.
    [Míry kvality množin pravidel pro obecné metody získávání pravidel.]
    International Journal of Approximate Reasoning. Roč. 50, č. 6 (2009), s. 867-879. ISSN 0888-613X. E-ISSN 1873-4731
    R&D Projects: GA ČR GA201/08/0802
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : rules extraction from data * quality measures * ruleset measures * ROC curves * observational logic * fuzzy logic
    Subject RIV: IN - Informatics, Computer Science
    Impact factor: 2.090, year: 2009
    Permanent Link: http://hdl.handle.net/11104/0171344
     
     
  7. 7.
    0103316 - UIVT-O 20040057 SIGLE CZ eng V - Research Report
    Holeňa, Martin
    A Relational Framework for Data Mining.
    Prague: ICS AS CR, 2004. 21 s. Technical Report, V-909.
    R&D Projects: GA MŠMT OC 274.001
    Grant - others:COST(XE) Action 274 TARSKI
    Institutional research plan: CEZ:AV0Z1030915
    Keywords : data mining frameworks * rules extraction from data * method GUHA * observational calculus * neural-networks based extraction
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0010627
    FileDownloadSizeCommentaryVersionAccess
    v909-04.pdf15350.7 KBOtheropen-access
     
     
  8. 8.
    0089741 - ÚI 2008 RIV DE eng C - Conference Paper (international conference)
    Holeňa, Martin
    Measures of Ruleset Quality Capable to Represent Uncertain Validity.
    [Míry kvality souborů pravidel schopné reprezentovat nejistou platnost.]
    Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Berlin: Springer, 2007 - (Mellouli, K.), s. 430-442. Lecture Notes in Artificial Intelligence, 4724. ISBN 978-3-540-75255-4.
    [ECSQARU 2007. European Conference /9./. Hammamet (TN), 01.11.2007-02.11. 2007]
    R&D Projects: GA ČR GA201/05/0325
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : rules extraction from data * quality measures * Boolean rules * fuzzy rules * observational logic * classification * ROC curves
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0150849
     
     
  9. 9.
    0041217 - ÚI 2007 RIV US eng C - Conference Paper (international conference)
    Holeňa, Martin
    The Specificity of Neural Networks in Extracting Rules from Data.
    [Specificita neuronových sítí při získávání pravidel z dat.]
    Applied Artificial Intelligence. New Jersey: World Scientific, 2006 - (Da Ruan; D'hondt, P.; Fantoni, P.; De Cock, M.; Nachtegael, M.; Kerre, E.), s. 209-214. ISBN 981-256-690-2.
    [International FLINS Conference /7./. Genova (IT), 29.08.2006-31.08.2006]
    R&D Projects: GA MŠMT ME 701
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : rules extraction from data * logical rules * artificial neural networks
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0134759
     
     
  10. 10.
    0032007 - UIVT-O 336151 RIV CZ eng M - Monography Chapter
    Holeňa, Martin
    Knowledge Extraction from EEG Data using Fuzzy Neural Networks.
    [Získávání znalostí z EEG dat pomocí umělých neuronových sítí.]
    Neurodynamics and Neuroinformatics Studies. Praha: Ústav informatiky AV ČR, FD ČVUT, 2005, s. 144-157. Edice monografií NNW, 4. ISBN 80-903298-3-7
    R&D Projects: GA MŠMT(CZ) ME 701; GA ČR(CZ) GA201/05/0325
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : rules extraction from data * artificial neural networks
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0132623
     
     


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