Search results
- 1.0580726 - ÚI 2024 RIV PT eng C - Conference Paper (international conference)
Korel, L. - Behr, A. S. - Kockmann, N. - Holeňa, Martin
Using Paraphrasers to Detect Duplicities in Ontologies.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2. Setubal: SciTePress, 2023 - (Aveiro, D.; Dietz, J.; Poggi, A.; Bernardino, J.), s. 40-49. ISBN 978-989-758-671-2. ISSN 2184-3228.
[KEOD 2023: Conference on Knowledge Engineering and Ontology Development /15./. Rome / hybrid (IT), 13.11.2023-15.11.2023]
Research Infrastructure: ELIXIR CZ III - 90255; e-INFRA CZ II - 90254
Institutional support: RVO:67985807
Keywords : Classifiers * Duplicity Detection * Ontologies * Paraphrasers * Representation Learning * Semantic Similarity
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://doi.org/10.5220/0012164500003598
Permanent Link: https://hdl.handle.net/11104/0349480File Download Size Commentary Version Access 0580726-aoa.pdf 1 412.7 KB OA CC BY-NC-ND 4.0 Publisher’s postprint open-access - 2.0572576 - ÚI 2024 RIV GB eng J - Journal Article
Kůrková, Věra - Sanguineti, M.
Approximation of Classifiers by Deep Perceptron Networks.
Neural Networks. Roč. 165, August 2023 (2023), s. 654-661. ISSN 0893-6080. E-ISSN 1879-2782
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : Approximation by deep networks * Probabilistic bounds on approximation errors * Random classifiers * Concentration of measure * Method of bounded differences * Growth functions
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 7.8, year: 2022
Method of publishing: Limited access
https://dx.doi.org/10.1016/j.neunet.2023.06.004
Permanent Link: https://hdl.handle.net/11104/0343221 - 3.0543168 - ÚI 2022 RIV DE eng J - Journal Article
Kůrková, Věra - Sanguineti, M.
Correlations of Random Classifiers on Large Data Sets.
Soft Computing. Roč. 25, č. 19 (2021), s. 12641-12648. ISSN 1432-7643. E-ISSN 1433-7479
R&D Projects: GA ČR(CZ) GA19-05704S
Institutional support: RVO:67985807
Keywords : Random classifiers * Optimization of feedforward networks * Binary classification * Concentration of measure * Method of bounded differences
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 3.732, year: 2021
Method of publishing: Limited access
http://dx.doi.org/10.1007/s00500-021-05938-4
Permanent Link: http://hdl.handle.net/11104/0320443 - 4.0522793 - ÚI 2021 RIV CH eng B - Monography
Holeňa, Martin - Pulc, P. - Kopp, M.
Classification Methods for Internet Applications.
Springer: Cham, 2020. 281 s. Studies in Big Data, 69. ISBN 978-3-030-36961-3
Institutional support: RVO:67985807
Keywords : Spam filtering * Recommender systems * Malware detection * Network intrusion detection * Random forests * Classifier comprehensibility * Support vector machines * Nearest neighbours classification * Bayesian classifiers
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0307224 - 5.0432486 - ÚI 2015 RIV CZ eng C - Conference Paper (international conference)
Pulc, P. - Holeňa, Martin
Case Study in Approaches to the Classification of Audiovisual Recordings of Lectures and Conferences.
ITAT 2014. Information Technologies - Applications and Theory. Part II. Prague: Institute of Computer Science AS CR, 2014 - (Kůrková, V.; Bajer, L.; Peška, L.; Vojtáš, R.; Holeňa, M.; Nehéz, M.), s. 79-84. ISBN 978-80-87136-19-5.
[ITAT 2014. European Conference on Information Technologies - Applications and Theory /14./. Demänovská dolina (SK), 25.09.2014-29.09.2014]
R&D Projects: GA ČR GA13-17187S
Institutional support: RVO:67985807
Keywords : multimedial data * classification * ensembles of classifiers
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0236826File Download Size Commentary Version Access 0432486.pdf 2 205.8 KB Publisher’s postprint open-access - 6.0402036 - UIVT-O 940058 CZ eng J - Journal Article
Hrycej, David
Misclassification Loss in Neural Network Classifiers.
Neural Network World. Roč. 4, č. 1 (1994), s. 37-52. ISSN 1210-0552
R&D Projects: GA AV ČR IAA230404
Keywords : neural network classification * linear classifiers * misclassification loss
Permanent Link: http://hdl.handle.net/11104/0003382 - 7.0372954 - ÚI 2012 RIV CZ eng M - Monography Chapter
Klaschka, Jan
Tree-based EEG Classifiers for Somnolence Detection: Model Search Computational Experiments.
Reliability of Driver Car Interactions. Praha: Ústav informatiky AV ČR, v. v. i. a ČVUT, Fakulta dopravní, 2011 - (Novák, M.), s. 80-96. Edice monografií NNW, 9. ISBN 978-80-87136-12-6
R&D Projects: GA MŠMT ME 949
Institutional research plan: CEZ:AV0Z10300504
Keywords : EEG classification * somnolence * Random Forests * combining classifiers
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0206145 - 8.0346951 - ÚI 2011 SI eng A - Abstract
Klaschka, Jan
EEG Classification Models in Driver's Microsleep Prevention.
ISBIS 2010. Praha: Agentura Action M, 2010. s. 52-52.
[ISBIS 2010. International Symposium on Business and Industrial Statistics. 05.07.2010-09.07.2010, Portorož]
Institutional research plan: CEZ:AV0Z10300504
Keywords : EEG * microsleep * combining classifiers
Subject RIV: FH - Neurology
Permanent Link: http://hdl.handle.net/11104/0187845 - 9.0329489 - ÚTIA 2010 RIV DE eng C - Conference Paper (international conference)
Grim, Jiří - Hora, Jan
Recognition of Properties by Probabilistic Neural Networks.
[Rozpoznávání vlastností pomocí praděpodobnostních neuronových sítí.]
Artificial Neural Networks - ICANN 2009. Vol. 2. Berlin, Heidelberg: Springer Verlag, 2009 - (Polycarpou, M.; Alipi, C.; Panayiotou, C.; Ellinas, G.), s. 165-174. Lecture Notes in Computer Science, LNCS 5769. ISBN 3-642-04276-7. ISSN 0302-9743.
[19th International Conference on Artificia Neural Networks. Limassol (CY), 14.09.2009-17.09.2009]
R&D Projects: GA MŠMT 1M0572; GA ČR GA102/07/1594
Grant - others:GA MŠk(CZ) 2C06019
Institutional research plan: CEZ:AV0Z10750506
Keywords : Probabilistic Neural Networks * Non-Exclusive Classes * One-Class Classifiers * Biological Compatibility
Subject RIV: IN - Informatics, Computer Science
http://library.utia.cas.cz/separaty/2009/RO/grim-recognition of properties by probabilistic neural networks.pdf
Permanent Link: http://hdl.handle.net/11104/0175509 - 10.0326475 - ÚI 2010 IT eng A - Abstract
Coufal, David - Štefka, David - Klaschka, Jan - Holeňa, Martin - Šebesta, Václav
Classification Models for Somnolence Detection in EEG Spectra.
EURISBIS 09 Book of Abstracts. Cagliari, Sardinie: TILAPIA Communications, 2009 - (Mola, F.; Conversano, C.; Vinzi, V.; Fisher, N.). s. 80-81. ISBN 978-88-89744-13-0.
[EURISBIS 09. European Regional Meeting of the International Society for Business and Industrial Statistics. 30.05.2009-03.06.2009, Cagliari]
R&D Projects: GA MDS 1F84B/042/520
Institutional research plan: CEZ:AV0Z10300504
Keywords : EEG classification * combining classifiers * data mining
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0173571