Search results
- 1.0512092 - ÚI 2020 RIV DE eng C - Conference Paper (international conference)
Tumpach, J. - Krčál, M. - Holeňa, Martin
Deep networks in online malware detection.
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. 90-98. 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
Grant - others:GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : artificial neural networks * multilayer perceptrons * deep networks * semi-supervised learning * malware detection
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/paper7.pdf
Permanent Link: http://hdl.handle.net/11104/0302298File Download Size Commentary Version Access 0512092-aoa.pdf 3 581.3 KB OpenAccess Publisher’s postprint open-access - 2.0512089 - 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/11104/0302294File Download Size Commentary Version Access 0512089-aoa.pdf 4 439.9 KB OpenAccess Publisher’s postprint open-access - 3.0405205 - UIVT-O 330372 RIV US eng M - Monography Chapter
Holeňa, Martin - Baerns, M.
Artificial Neural Networks in Catalyst Development. Chapter 10.
[Umělé neuronové sítě při vývoji katalyzátorů.]
Experimental Design for Combinatorial and High Throughput Materials Development. New Jersey: John Wiley and Sons, 2003 - (Cawse, J.), s. 163-202. ISBN 0-471-20343-2
Source of funding: V - Other public resources
Keywords : artificial neural networks * multilayer perceptrons * nonlinear dependency * approximation * network training * knowledge extraction
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0125398 - 4.0404708 - UIVT-O 20020161 RIV DE eng C - Conference Paper (international conference)
Holeňa, Martin
Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks.
Discovery Science. Berlin: Springer, 2002 - (Lange, S.; Satoh, K.; Smith, C.), s. 193-205. Lecture Notes in Computer Science, 2534. ISBN 3-540-00188-3. ISSN 0302-9743.
[International Conference on Algorithmic Learning Theory /13./, International Conference on Discovery Science /5./. Lübeck (DE), 24.11.2002-26.11.2002]
R&D Projects: GA ČR GA201/00/1489; GA AV ČR IAB2030007
Institutional research plan: AV0Z1030915
Keywords : data mining * knowledge discovery * artificial neural networks * multilayer perceptrons * rule extraction * piecewise-linear neural networks
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0124947 - 5.0320845 - ÚI 2009 CZ eng K - Conference Paper (Czech conference)
Kozub, P. - Holeňa, Martin
Learning of Multilayer Perceptrons with Piecewise-Linear Activation Functions.
[Učení vícevrstvých perceptronů s po částech lineárními aktivačními funkcemi.]
MIS 2008. Praha: Matfyzpress, 2008 - (Obdržálek, D.; Štanclová, J.; Plátek, M.), s. 27-46. ISBN 978-80-7378-076-0.
[MIS 2008. Malý informatický seminář /25./. Josefův důl (CZ), 12.01.2008-19.01.2008]
R&D Projects: GA ČR GA201/08/0802; GA ČR GA201/08/1744
Institutional research plan: CEZ:AV0Z10300504
Keywords : artificial neural networks * multilayer perceptrons * activation functions * function approximation * constrained optimization
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0169591