VU Duomenų mokslo ir skaitmeninių technologijų instituto / Matematikos ir informatikos instituto autoriaus (-ių) 'Kęstutis Dučinskas' publikacijų sąrašas (pagal Lietuvos akademinių bibliotekų tinklo (LABT) publikacijų bazes VUB [nuo 2011 m. iki dabar] ir LMAVB [iki 2010 m. imtinai]):
Publications of 'Kęstutis Dučinskas', 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
1Ducinskas, Kestutis; Dreiziene, Lina. Performance evaluations of Gaussian spatial data classifiers based on hybrid actual error rate estimators // Austrian journal of statistics: Special Issue CDAM conference. Wien : ÖSG. ISSN 1026-597X. 2020, vol. 49, no. 4, p. 27-34. DOI: 10.17713/ajs.v49i4.1122.
2Zikarienė, Eglė; Dučinskas, Kęstutis. Implementation of generalized additive models for spatial beta regression // Computer data analysis and modeling: stochastics and data science : proceedings of the XII international conference, Minsk, September 18-22, 2019. Minsk : Belarusian State University, 2019. ISBN 9789855668115. p. 341-343. Prieiga per internetą: <http://elib.bsu.by/handle/123456789/233315>.
3Dučinskas, K.; Dreiziene, L. Spatial model selection based on hybrid performance measure of linear classifier // Computer data analysis and modeling: stochastics and data science : proceedings of the twelfth international conference : Minsk, September 18-22, 2019. Minsk : Belarusian State University, 2019. ISBN 9789855668115. p. 17-20. Prieiga per internetą: <http://elib.bsu.by/bitstream/123456789/233316/1/Computer%20Data%20Analysis%20and%20Modeling.pdf>.
4Karaliutė, Marta; Dučinskas, Kęstutis; Šaltytė-Vaisiauskė, Laura. Expected error rate in linear discrimination of balanced spatial Gaussian time series // Computer data analysis and modeling: stochastics and data science : proceedings of the XII international conference, Minsk, September 18-22, 2019. Minsk : Belarusian State University, 2019. ISBN 9789855668115. p. 172-175. Prieiga per internetą: <http://elib.bsu.by/bitstream/123456789/233358/1/172-175.pdf>.
5Dreiziene, Lina; Ducinskas, Kestutis. Comparison of spatial linear mixed models for ecological data based on the correct classification rates // Spatial statistics. Oxford : Elsevier. ISSN 2211-6753. 2020, vol. 35, art. no. 100395, p. [1-10]. DOI: 10.1016/j.spasta.2019.100395.
6Karaliutė, Marta; Dučinskas, Kęstutis; Šaltytė-Vaisiauskė, Laura. Expected error regret in linear discrimination of balanced spatial Gaussian time series // DAMSS 2018 : 10th international workshop on "Data analysis methods for software systems" : Druskininkai, Lithuania, November 29 - December 1, 2018 : [abstract book]. Vilnius : Vilnius University Press, 2018. ISBN 9786090700433. p. 42.
7Dučinskas, Kęstutis; Dreižienė, Lina. Performance evaluations for supervised classifiers of Gaussian random field observations // DAMSS 2018 : 10th international workshop on "Data analysis methods for software systems" : Druskininkai, Lithuania, November 29 - December 1, 2018 : [abstract book]. Vilnius : Vilnius University Press, 2018. ISBN 9786090700433. p. 23.
8Dreižienė, Lina; Dučinskas, Kęstutis; Šaltytė-Vaisiauskė, Laura. Statistical classification of multivariate conditionally autoregressive Gaussian random field observations // Spatial statistics. Oxford : Elsevier. ISSN 2211-6753. 2018, vol. 28, p. 216-225. DOI: 10.1016/j.spasta.2018.03.006.
9Dučinskas, Kęstutis; Dreižienė, Lina. Risks of classification of the Gaussian Markov random field observations // Journal of classification. New York : Springer. ISSN 0176-4268. eISSN 1432-1343. 2018, vol. 35, iss. 3, p. 422-436. DOI: 10.1007/s00357-018-9269-7.