VU Duomenų mokslo ir skaitmeninių technologijų instituto / Matematikos ir informatikos instituto autoriaus (-ių) 'Rasa Karbauskaitė' publikacijų sąrašas (pagal Lietuvos akademinių bibliotekų tinklo (LABT) publikacijų bazes VUB [nuo 2011 m. iki dabar] ir LMAVB [iki 2010 m. imtinai]):
Publications of 'Rasa Karbauskaitė', VU Institute of Data Science and Digital Technologies / Institute of Mathematics and Informatics (based on 1. Lithuanian Academic Library Network (LABT) database of Vilnius University Library [since 2011 until now] and 2. LABT database of Wroblewski Library of the Lithuanian Academy of Sciences [until 2010]):
Eil. Nr. Publikacija
1Tamulevičius, Gintautas; Karbauskaitė, Rasa; Dzemyda, Gintautas. Speech emotion classification using fractal dimension-based features // Nonlinear analysis : modelling and control. Vilnius : Vilniaus universiteto leidykla. ISSN 1392-5113. eISSN 2335-8963. 2019, vol. 24, no. 5, p. 679-695. DOI: 10.15388/NA.2019.5.1.
2Karbauskaitė, Rasa; Tamulevičius, Gintautas. Fractal dimensions of speech signals // 9th International workshop on Data Analysis Methods for Software Systems (DAMSS), Druskininkai, Lithuania, November 30 - December 2, 2017. Vilnius : VIlniaus universitetas, 2017. ISBN 9789986680642. p. 24-25. Prieiga per internetą: <http://www.mii.lt/datamss/files/liks_mii_drusk_2017.pdf>.
3Tamulevičius, Gintautas; Karbauskaitė, Rasa; Dzemyda, Gintautas. Selection of fractal dimension features for speech emotion classification // 2017 Open conference of Electrical, Electronic and Information Sciences (eStream) : proceedings of the conference, April 27, 2017, Vilnius, Lithuania / organized by: Vilnius Gediminas Technical university. New York : IEEE, 2017. ISBN 9781538639993. eISBN 9781538639986. p. 1-4. DOI: 10.1109/eStream.2017.7950316.
4Karbauskaitė, Rasa; Dzemyda, Gintautas. Fractal-based methods as a technique for estimating the intrinsic dimensionality of high-dimensional data: a survey = Fraktalais grindžiamų metodų, skirtų daugiamačių duomenų vidinei dimensijai vertinti, apžvalga // Informatica. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas; Lietuvos Mokslų akademija. ISSN 0868-4952. 2016, Vol. 27, no 2, p. 257-281. DOI: 10.15388/Informatica.2016.84.
5Karbauskaitė, Rasa; Dzemyda, Gintautas. Relation between the number of latent variables and degrees of freedom of the object motion in the image // Data analysis methods for software systems : 7th international workshop, Druskininkai, December 3-5, 2015 : [abstracts book]. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas, 2015. ISBN 9789986680581. p. 29-30. Prieiga per internetą: <http://www.mii.lt/datamss/files/liks_mii_drusk_2015_abstract_last_1.pdf>.
6Karbauskaitė, Rasa; Dzemyda, Gintautas. Optimization of the maximum likelihood estimator for determining the intrinsic dimensionality of high-dimensional data // International Journal of Applied Mathematics and Computer Science. Zielona Gora : University of Zielona Góra. ISSN 1641-876X. eISSN 2083-8492. 2015, Vol. 25, No. 4, p. 895-913. DOI: 10.1515/amcs-2015-0064.
7Karbauskaitė, Rasa; Dzemyda, Gintautas. Techniques for estimating the intrinsic dimensionality of high-dimensional data // Data analysis methods for software systems : 6th International Workshop : [abstracts book], Druskininkai, Lithuania, December 4-6, 2014. [Vilnius], 2014. ISBN 9789986680505. p. 28-29.
8Karbauskaitė, Rasa; Dzemyda, Gintautas. Geodesic distances in the intrinsic dimensionality estimation using packing numbers // Nonlinear analysis : modelling and control. Vilnius : Institute of Mathematics and Informatics. ISSN 1392-5113. 2014, vol. 19, no. 4, p. 578-591. DOI: 10.15388/NA.2014.4.4.
9Karbauskaitė, Rasa; Dzemyda, Gintautas. Investigation of the maximum likelihood estimator of intrinsic dimensionality // Computer data analysis and modeling: theoretical and applied stochatics : proceedings of the 10th international conference, Minsk, September 10-14. Vol. 2. Minsk : Publishing center of BSU, 2013. ISBN 9789855531389. p. 110-113. Prieiga per internetą: <http://elib.bsu.by/bitstream/123456789/52060/1/110-113.pdf>.
10Karbauskaitė, Rasa; Dzemyda, Gintautas; Mazėtis, Edmundas. Geodesic distances in the maximum likelihood estimator of intrinsic dimensionality // Nonlinear analysis : modelling and control. Vilnius : Vilnius University Institute of Mathematics and Informatics. ISSN 1392-5113. 2011, Vol. 16, no. 4, p. 387-402. Prieiga per internetą: <http://www.lana.lt/journal/43/NA16402.pdf>.
11Karbauskaitė, Rasa; Dzemyda, Gintautas; Marcinkevičius, Virginijus. Dependence of locally linear embedding on the regularization parameter // TOP : an official journal of the Spanish society of statistics and operations research. ISSN 1134-5764. 2010, Vol. 18, iss. 2, p. 354-376. DOI: 10.1007/s11750-010-0151-y.
12Karbauskaitė, Rasa; Dzemyda, Gintautas. Topology preservation measures in the visualization of manifold-type multidimensional data // Informatica. ISSN 0868-4952. 2009, Vol. 20, no. 2, p. 235-254. DOI: ISI:466HK.
13Karbauskaitė, Rasa; Dzemyda, Gintautas. Dependence of the Laplacian eigenmaps method and its modification on the parameters // The XIIIth international conference "Applied stochastic models and data analysis" ASMDA-2009 : selected papers. Vilnius : Technika, 2009. ISBN 9789955284635. P. 263-268. Prieiga per internetą: <http://www.vgtu.lt/leidiniai/leidykla/ASMDA_2009/12/12-103.htm>.
14Karbauskaitė, Rasa; Dzemyda, Gintautas; Marcinkevičius, Virginijus. Selecting a regularisation parameter in the locally linear embedding algorithm // The 20th international conference EURO mini conference "Continuous optimization and knowledge-based technologies" EurOPT'2008 : May 20-23, 2008, Neringa, Lithuania : selected papers. Vilnius : Technika, 2008. ISBN 9789955282839. P. 59-64. DOI: ISIP:BIE19.
15Karbauskaitė, Rasa; Kurasova, Olga; Dzemyda, Gintautas. Selection of the number of neighbours of each data point for the locally linear embedding algorithm // Information technology and control. ISSN 1392-124X. 2007, Vol. 36, no. 4, p. 359-364. DOI: ISI:293JG.
16Karbauskaitė, Rasa; Marcinkevičius, Virginijus; Dzemyda, Gintautas. Testing the relational perspective map for visualization of multidimensional data = Santykinės perspektyvos metodo, skirto daugiamačiams duomenims vizualizuoti, tyrimas // Ūkio technologinis ir ekonominis vystymas. ISSN 1392-8619. 2006, Vol. 12, no. 4, p. 289-294. Prieiga per internetą: <http://www.tede.vgtu.lt/upload/ukis_zurn/05_2006_nr4.pdf>.
17Karbauskaitė, Rasa; Dzemyda, Gintautas. Multidimensionad data projection algorithms saving calculations of distances // Information technology and control. ISSN 1392-124X. 2006, Vol. 35, no. 1, p. 57-64. Prieiga per internetą: <http://itc.ktu.lt/itc351/Karbaus351.pdf>.