VU Duomenų mokslo ir skaitmeninių technologijų instituto / Matematikos ir informatikos instituto autoriaus (-ių) 'Olga Kurasova' publikacijų sąrašas (pagal Lietuvos akademinių bibliotekų tinklo (LABT) publikacijų bazes VUB [nuo 2011 m. iki dabar] ir LMAVB [iki 2010 m. imtinai]):
Publications of 'Olga Kurasova', 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
1Liutvinavičienė, Jelena; Kurasova, Olga. Multi-level massive data visualization: methodology and use cases // Baltic journal of modern computing. Riga : Latvijas Universitate. ISSN 2255-8942. eISSN 2255-8950. 2018, vol. 6, iss. 4, p. 321-334. DOI: 10.22364/bjmc.2018.6.4.01.
2Korvel, Gražina; Kurasova, Olga; Kostek, Bozena. An attempt to create speech synthesis model that retains Lombard effect characteristics // ICETE 2019 : Proceedings of the 16th International Joint Conference on e-Business and Telecommunications, Prague; Czech Republic; 26-28 July 2019. Vol. 1. Setúbal : SciTePress, 2019. ISBN 9789897583780. p. 280-289. DOI: 10.5220/0007854302800289.
3Liutvinavičienė, Jelena; Kurasova, Olga; Liutvinavičius, Marius. Multi-level methodology for massive data visualization // NBBC19 : 7th Nordic-Baltic biometric conference, 3-5 June 2019, Vilnius, Lithuania : final programme and abstract book. Vilnius : [s.n.]. 2019, p. 48. Prieiga per internetą: <http://files.razzby.com/95/General/1559646481_NBBC19_Abstract_book.pdf>.
4Stefanovič, Pavel; Kurasova, Olga; Štrimaitis, Rokas. The n-grams based text similarity detection approach using self-organizing maps and similarity measures // Applied sciences. Basel : MDPI AG. ISSN 2076-3417. 2019, vol. 9, iss. 9, art. no. 1870, p. [1-14]. DOI: 10.3390/app9091870.
5Orts Gomez, Francisco José; Ortega Lopez, Gloria; Filatovas, Ernestas; Kurasova, Olga; Martın Garzon, Gracia Ester. Hyperspectral image classification using Isomap with SMACOF // Informatica. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas. ISSN 0868-4952. eISSN 1822-8844. 2019, vol. 30, no 2, p. 349-365. DOI: 10.15388/Informatica.2019.209.
6Dzemyda, Gintautas; Kurasova, Olga; Medvedev, Viktor; Dzemydaitė, Giedrė. Visualization of data: methods, software, and applications // Advances in mathematical methods and high performance computing / editors : Vinai K. Singh, David Gao, Andreas Fischer. Cham : Springer, 2019. ISBN 9783030024864. eISBN 9783030024871. p. 295-307. (Advances in Mechanics and Mathematics ; vol. 41). DOI: 10.1007/978-3-030-02487-1_18.
7Korvel, Gražina; Kostek, Bozena; Kurasova, Olga. Comparative analysis of various transformation techniques for voiceless consonants modeling // International journal of computers, communications and control. Bihor : Agora University Editing House. ISSN 1841-9836. eISSN 1841-9844. 2018, vol. 13, no 5, p. 853-864. DOI: 10.15837/ijccc.2018.5.3310.
8Korvel, Gražina; Kurasova, Olga; Kostek, Bozena. Comparative analysis of spectral and cepstral feature extraction techniques for phoneme modelling // Multimedia and network information systems : proceedings of the 11th international conference MISSI 2018 / editors Kazimierz Choroś, Marek Kopel, Elżbieta Kukla, Andrzej Siemiński. Cham : Springer, 2018. ISBN 9783319986777. eISBN 9783319986784. p. 480-489. (Advances in intelligent systems and computing, ISSN 2194-5357, eISSN 2194-5365 ; vol. 833). DOI: 10.1007/978-3-319-98678-4_48.
9Gėgžna, Vilmantas; Kurasova, Olga; Dzemyda, Gintautas; Kurtinaitienė, Rūta; Čiplys, Ignas; Vaitkus, Juozas Vidmantis; Vaitkuvienė, Aurelija. The ROC-based analysis of spectroscopic signals from medical specimens // Nonlinear analysis : modelling and control. Vilnius : Vilnius University Institute of Mathematics and Informatics. ISSN 1392-5113. 2018, vol. 23, iss. 3, p. 285-302. DOI: 10.15388/NA.2018.3.1.
10Tichonov, Jevgenij; Kurasova, Olga; Filatovas, Ernestas. Image classification for JPEG compression // Advances in science and technology-research journal. Lublin : Lublin University of Technology. ISSN 2299-8624. 2018, vol. 12, no. 2, p. 29-34. DOI: 10.12913/22998624/87041.
11Kaklauskas, Artūras; Dzemyda, Gintautas; Tupėnaitė, Laura; Voitau, Ihar; Kurasova, Olga; Naimavičienė, Jurga; Rassokha, Yauheni; Kanapeckienė, Loreta. Artificial neural network-based decision support system for development of an energy-efficient built environment // Energies. Basel : MDPI. eISSN 1996-1073. 2018, vol. 11, iss. 8, p. 1-20. DOI: 10.3390/en11081994.
12Stefanovič, Pavel; Kurasova, Olga. Outlier detection in self-organizing maps and their quality estimation // Neural network world. Prague : Czech Academy of Sciences, Institute of Computer Science. ISSN 1210-0552. 2018, Vol. 28, iss. 2, p. 105-117. Prieiga per internetą: <http://www.nnw.cz/doi/2018/NNW.2018.28.006.pdf>.
13Ortega, G.; Orts, F.; Garzón, E.M.; Filatovas, Ernestas; Kurasova, Olga. CUDA and OpenMP implementations for solving SMACOF problems // 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. 36-37. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2017.pdf>.
14Gudžius, Povilas; Kurasova, Olga; Filatovas, Ernestas. Satellite imagery application to financial markets via machine learning // 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. 20. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2017.pdf>.
15Zubova, Jelena; Kurasova, Olga; Liutvinavičius, Marius. Dimensionality reduction methods: the comparison of speed and accuracy // Information technology and control = Informacinės technologijos ir valdymas. Kaunas : Technologija. ISSN 1392-124X. eISSN 2335-884X. 2018, Vol. 47, iss. 1, p. 151-160. DOI: 10.5755/j01.itc.47.1.18813.
16Orts, Francisco; Filatovas, Ernestas; Ortega, Gloria; Kurasova, Olga; Garzon, Ester M. Improving the energy efficiency of SMACOF for multidimensional scaling on modern architectures // Journal of supercomputing. Dordrecht : Springer. ISSN 0920-8542. eISSN 1573-0484. 2019, vol. 75, iss. 3, p. 1038-1050. DOI: 10.1007/s11227-018-2285-x.
17Orts, Francisco; Filatovas, Ernestas; Ortega, Gloria; Kurasova, Olga; Garzon, Ester M. HPC tool for multidimensional scaling // Proceedings of the 17th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2017, 4-8 July, 2017. Vol. 5. Cádiz : CMMSE, 2017. ISBN 9788461786947. p. 1611-1614. Prieiga per internetą: <http://cmmse.usal.es/cmmse2017/sites/default/files/volumes/Proceedings_CMMSE_2017_vol_1_6.pdf>.
18Medvedev, Viktor; Kurasova, Olga; Bernatavičienė, Jolita; Treigys, Povilas; Marcinkevičius, Virginijus; Dzemyda, Gintautas. A new web-based solution for modelling data mining processes // Simulation modelling practice and theory. Amsterdam : Elsevier Science. ISSN 1569-190X. eISSN 1878-1462. 2017, Vol. 76, p. 34-46. DOI: 10.1016/j.simpat.2017.03.001.
19Zubova, Jelena; Kurasova, Olga. Multi-level method for big data visualization // Data analysis methods for software systems : 8th international workshop on data analysis methods for software systems, Druskininkai, December 1-3, 2016. Vilnius : Vilniaus universiteto leidykla, 2016. ISBN 9789986680611. p. 70. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2016_abstract_el_v_.pdf>.
20Paulauskienė, Kotryna; Kurasova, Olga. Massive data visualization via selecting a data subset // Data analysis methods for software systems : 8th international workshop on data analysis methods for software systems, Druskininkai, December 1-3, 2016. Vilnius : Vilniaus universiteto leidykla, 2016. ISBN 9789986680611. p. 48. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2016_abstract_el_v_.pdf>.
21Filatovas, Ernestas; Tichonov, Jevgenij; Kurasova, Olga. Classification-Based Storage of JPEG Images // Data analysis methods for software systems : 8th international workshop on data analysis methods for software systems, Druskininkai, December 1-3, 2016 : [abstract]. Druskininkai : Vilniaus universiteto leidykla, 2016. ISBN 9789986680611. p. 58. DOI: 10.15388/DAMSS.2016.
22Tichonov, Jevgenij; Kurasova, Olga; Filatovas, Ernestas. Quality prediction of compressed images via classification // Image processing and communications challenges : 8th international conference, IP&C 2016 Bydgoszcz, Poland, September 2016 : Proceedings. - Series: Advances in intelligent systems and computing. Vol. 525. Cham : Springer International Publishing AG, 2016. ISBN 9783319472744. eISBN 9783319472744. p. 35-42. DOI: 10.1007/978-3-319-47274-4_4.
23Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Treigys, Povilas. Cloud computing approach for intelligent visualization of multidimensional data // Advances in stochastic and deterministic global optimization / Editors: Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas. - Ser.: Springer optimization and its applications. ISSN 1931-6828. Vol. 107. Cham : Springer International Publishing Switzerland, 2016. ISBN 9783319299730. p. 73-85. DOI: 10.1007/978-3-319-29975-4_5.
24Medvedev, Viktor; Kurasova, Olga. Cloud technologies: a new level for Big Data Mining // Resource management for Big Data platforms: algorithms, modelling, and high-performance computing techniques / Editors: Florin Pop, Joanna Kołodziej, Beniamino Di Martino. Ser.: Computer communications and networks. ISSN 1617-7975. Cham : Springer International Publishing AG, 2016. ISBN 9783319448800. p. 55-68. DOI: 10.1007/978-3-319-44881-7_3.
25Medvedev, Viktor; Kurasova, Olga; Dzemyda, Gintautas. Artificial neural networks for massive data visualization // EURO 2016: 28th European conference on operational research, Poznań 3-6.07.2016 : conference handbook. Poznań : Poznań University of Technology. 2016, p. 101-102. Prieiga per internetą: <https://www.euro-online.org/conf/admin/tmp/program-euro28.pdf>.
26Dzemyda, Gintautas; Medvedev, Viktor; Lupeikienė, Audronė; Kurasova, Olga; Čaplinskas, Albertas. Big multidimensional datasets visualization using neural networks - efficient decision support // Complex systems informatics and modeling quarterly. Riga : RTU Press. ISSN 2255-9922. 2016, Iss. 6, p. 1-11. DOI: 10.7250/csimq.2016-6.01.
27Filatovas, Ernestas; Lančinskas, Algirdas; Kurasova, Olga; Žilinskas, Julius. A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search // Central European journal of operations research. Heidelberg : Springer. ISSN 1435-246X. 2017, Vol. 25, no 4, p. 859-878. DOI: 10.1007/s10100-016-0443-x.
28Tichonov, Jevgenij; Kurasova, Olga; Filatovas, Ernestas. Decision tree classification to predict effect of JPEG compression on images // EURO 2016. 28th European Conference on Operational Research, Poznan University of Technology, Poznań, Poland, July 3-6, 2016 : [abstract]. Poznan : Poznan University of Technology. 2016, p. 182.
29Filatovas, Ernestas; Kurasova, Olga; Redondo, Juana López; Fernández, José. A preference-based multi-objective evolutionary algorithm for approximating a region of interest // GOW’16 : proceedings of the XIII Global Optimization Workshop, 4-8 September 2016 : [extended abstracts]. Braga, Portugal : University of Minho, 2016. ISBN 9789892067643. p. 21-24.
30Zubova, Jelena; Liutvinavičius, Marius; Kurasova, Olga. Parallel computing for dimensionality reduction // Information and software technologies : 22nd international conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, proceedings / Editors : Giedre Dregvaite, Robertas Damasevicius. Ser.: Communications in computer and information science. ISSN 1865-0929. Vol. 639. Cham : Springer International Publishing Switzerland, 2016. ISBN 9783319462530. p. 230-241. DOI: 10.1007/978-3-319-46254-7_19.
31Paulauskienė, Kotryna; Kurasova, Olga. Control point selection for dimensionality reduction by radial basis function = Kontrolinių taškų parinkimas dimensijai mažinti naudojant radialinę bazinę funkciją // Computational science and techniques. Klaipėda : Klaipėdos universitetas. eISSN 2029-9966. 2016, Vol. 4, no 1, p. 487-499. DOI: 10.15181/csat.v4i1.1095.
32Paulauskienė, Kotryna; Kurasova, Olga. Projection error evaluation for large multidimensional data sets // Nonlinear analysis: modelling and control. Vilnius : Vilnius University Institute of Mathematics and Informatics. ISSN 1392-5113. 2016, vol. 21, No. 1, p. 92-102. DOI: 10.15388/NA.2016.1.6.
33Tichonov, Jevgenij; Kurasova, Olga; Filatovas, Ernestas. Image classification for quality prediction after JPEG compression // Data analysis methods for software systems : 7th international workshop, Druskininkai, Lithuania, December 3-5, 2015. Vilnius : Vilniaus universiteto leidykla, 2015. ISBN 9789986680581. p. 49. Prieiga per internetą: <http://www.mii.lt/datamss/files/liks_mii_drusk_2015_abstract_last_1.pdf>.
34Zubova, Jelena; Kurasova, Olga; Medvedev, Viktor. Visual analytics for big data // Data analysis methods for software systems : 7th international workshop, Druskininkai, Lithuania, December 3-5, 2015. Vilnius : Vilniaus universiteto leidykla, 2015. ISBN 9789986680581. p. 53-54. Prieiga per internetą: <http://www.mii.lt/datamss/files/liks_mii_drusk_2015_abstract_last_1.pdf>.
35Filatovas, Ernestas; Kurasova, Olga; López Redondo, Juana; Fernández, José. Solving multi-objective competitive facility location problems using preference-based evolutionary approach // Data analysis methods for software systems : 7th international workshop, Druskininkai, Lithuania, December 3-5, 2015. Vilnius : Vilniaus universiteto leidykla, 2015. ISBN 9789986680581. p. 19-20. Prieiga per internetą: <http://www.mii.lt/datamss/files/liks_mii_drusk_2015_abstract_last_1.pdf>.
36Evora, Jose; Hernandez, Jose Juan; Hernandez, Mario; Dzemyda, Gintautas; Kurasova, Olga; Kremers, Enrique. Swarm intelligence for frequency management in samart grids = Spiečiaus intelektas dažniui valdyti išmaniuosiuose elektros tinkluose // Informatica. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas, IOS Press. ISSN 0868-4952. 2015, Vol. 26, no 3, p. 419-434. DOI: 10.15388/Informatica.2015.56.
37Medvedev, Viktor; Kurasova, Olga; Dzemyda, Gintautas; Lupeikienė, Audronė; Čaplinskas, Albertas. Neural networks-based big multidimensional data visualization // ASMDA 2015 : 16th Applied Stochastic Models and Data Analysis International Conference with 4th Demographics 2015 Workshop, 30 June - 4 July 2015 : book of abstracts / eds.: Yiannis Dimotikalis, Sotiris Bersimis. e-ISBN 97861851800401. Piraeus : Piraeus, International Society for the Advancement of Science and Technology, 2015. ISBN 9786185180034. p. 109.
38Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor. Investigating dimensionality reduction of big high-dimensional data // ASMDA 2015 : 16th applied stochastic models and data analysis international conference with 4th demographics 2015 Workshop, 30 June - 4 July 2015 : book of abstracts / eds.: Yiannis Dimotikalis, Sotiris Bersimis. Piraeus : International Society for the Advancement of Science and Technology, 2015. ISBN 9786185180034. p. 93.
39Lupeikienė, Audronė; Medvedev, Viktor; Kurasova, Olga; Čaplinskas, Albertas; Dzemyda, Gintautas. Decision support via big multidimensional data visualization // BIR-WS 2015. Joint Proceedings of the BIR 2015 Workshops and Doctoral Consortium co-located with 14th International Conference on Perspectives in Business Informatics Research (BIR 2015), Tartu, Estonia, August 26-28, 2015. Ser.: CEUR Workshop Proceedings. Vol. 1420. ISSN 1613-0073. Tartu : University of Tartu. 2015, p. 1-8. Prieiga per internetą: <http://ceur-ws.org/Vol-1420/ws-keynote.pdf>.
40Tichonov, Jevgenij; Kurasova, Olga. Didelių vaizdų klasifikavimas prieš taikant suspaudimo algoritmus = Classification of large images before applying compression algorithms // Jaunųjų mokslininkų darbai / Šiaulių universitetas. Šiauliai : Šiaulių universiteto leidykla. ISSN 1648-8776. eISSN 2424-3345. 2015, Nr. 1(43), p. 87-93. Prieiga per internetą: <http://www.su.lt/index.php?option=com_content&view=article&layout=edit&id=16859&lang=lt>.
41Tichonov, Jevgenij; Kurasova, Olga; Filatovas, Ernestas. Vaizdų klasifikavimas pagal suspaudimo algoritmo poveikį jų kokybei = Classification of images according their quality after compression // Informacijos mokslai. Vilnius : Vilniaus universitetas. ISSN 1392-0561. 2015, t. 73, p. 127-134.
42Zubova, Jelena; Kurasova, Olga. Didelių duomenų vizualizavimo metodai ir įrankiai = Methods and tools for big data visualization // Informacijos mokslai. Vilnius : Vilniaus universitetas. ISSN 1392-0561. 2015, t. 73, p. 113-126.
43Filatovas, Ernestas; Podkopaev, Dmitry; Kurasova, Olga. A visualization technique for accessing solution pool in interactive methods of multiobjective optimization // International journal of computers communications & control. Oradea : Universitatea Agora. ISSN 1841-9836. 2015, Vol. 10, no 4, p. 508-519. Prieiga per internetą: <http://univagora.ro/jour/index.php/ijccc/article/view/1672/pdf06042015>.
44Filatovas, Ernestas; Kurasova, Olga; Sindhya, Karthik. Synchronous R-NSGA-II: an extended preference-based evolutionary algorithm for multi-objective optimization // Informatica. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas, IOS Press. ISSN 0868-4952. 2015, vol. 26, no. 1, p. 33-50. DOI: 10.15388/Informatica.2015.37.
45Kurasova, Olga. Programinės sistemos duomenų tyrybos mokymui // Lietuvos matematikos rinkinys. Lietuvos matematikų draugijos darbai. Serija B. ISSN 0132-2818. 2014, [T.] 55, p. 60-65. Prieiga per internetą: <http://www.mii.lt/LMR/B/2014/55B12.pdf>.
46Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Rapečka, Aurimas; Stefanovič, Pavel. Data mining in big data era: methods and technologies // Data analysis methods for software systems : 6th International Workshop : [abstracts book], Druskininkai, Lithuania, December 4-6, 2014. [Vilnius], 2014. ISBN 9789986680505. p. 33.
47Filatovas, Ernestas; Kurasova, Olga. Extensions of the preference-based multi-objective evolutionary algorithm R-NSGA-II // Data analysis methods for software systems : 6th International Workshop : [abstracts book], Druskininkai, Lithuania, December 4-6, 2014. [Vilnius], 2014. ISBN 9789986680505. p. 21-22.
48Zubova, Jelena; Kurasova, Olga. Challenges of big data visualization // Data analysis methods for software systems : 6th International Workshop : [abstracts book], Druskininkai, Lithuania, December 4-6, 2014. [Vilnius], 2014. ISBN 9789986680505. p. 59.
49Kurasova, Olga; Tichonov, Jevgenij. Classification of large images before applying compression algorithm // Data analysis methods for software systems : 6th International Workshop : [abstracts book], Druskininkai, Lithuania, December 4-6, 2014. [Vilnius], 2014. ISBN 9789986680505. p. 34.
50Paulauskienė, Kotryna; Kurasova, Olga. Dimensijų mažinimo metodais gautų projekcijų įvertinimas // Lietuvos matematikos rinkinys. LMD darbai. Vilnius : Matematikos ir informatikos institutas. ISSN 0132-2818. 2014, t. 55, ser. B, p. 137-142. Prieiga per internetą: <http://www.mii.lt/LMR/55(2014)/B/55B26.pdf>.
51Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Rapečka, Aurimas; Stefanovič, Pavel. Strategies for big data clustering // ICTAI 2014 : 2014 IEEE 26th international conference on tools with artificial intelligence : proceedings, 10-12 November 2014 Limassol, Cyprus. Washington : IEEE Computer Society. ISSN 1082-3409. 2014, p. 740-747.
52Stefanovič, Pavel; Kurasova, Olga. Investigation on learning parameters of self-organizing maps // Baltic journal of modern computing. Riga : University of Latvia. ISSN 2255-8942. 2014, Vol. 2, no. 2, p. 45-55. Prieiga per internetą: <http://www.bjmc.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/2_2_1_Stefanovic_a.pdf>.
53Bernatavičienė, Jolita; Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Podgorni, Piotr; Treigys, Povilas. Deterministic methods for a production effectiveness navigator // Baltic journal of modern computing. Riga : University of Latvia. ISSN 2255-8942. 2014, Vol. 2, no. 1, p. 1-15. Prieiga per internetą: <http://www.bjmc.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/2_1_1_Bernataviciene.pdf>.
54Paulauskienė, Kotryna; Kurasova, Olga. Dimensijų mažinimo metodų tyrimas įvairių apimčių duomenims analizuoti // Informacinės technologijos : 19-oji tarpuniversitetinė magistrantų ir doktorantų konferencija "Informacinė visuomenė ir universitetinės studijos" (IVUS 2014) : pranešimų medžiaga. Kaunas : Technologija. ISSN 2029-4832. 2014, p. 114-121.
55Vaira, Gintaras; Kurasova, Olga. Genetic algorithm for VRP with constraints based on feasible insertion // Informatica / Matematikos ir informatikos institutas. Vilnius : Lietuvos mokslų akademijos leidykla. ISSN 0868-4952. 2014, vol. 25, no. 1, p. 505-521. DOI: 10.15388/Informatica.2014.09.
56Stefanovič, Pavel; Kurasova, Olga. Creation of text document matrices and visualization by self-organizing map // Information technology and control / Kauno technologijos universitetas. Kaunas : Technologija. ISSN 1392-124X. 2014, t. 43, no. 1, p. 37-46. Prieiga per internetą: <http://www.itc.ktu.lt/index.php/ITC/article/view/4299/3414>.
57Vaira, Gintaras; Kurasova, Olga. Genetic algorithms and VRP: the behaviour of a crossover operator // Baltic journal of modern computing. Riga : University of Latvia. ISSN 2255-8942. 2013, Vol. 1, no. 3-4, p. 178-202. Prieiga per internetą: <http://www.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/1_3-4_3_Vaira.pdf>.
58Kurasova, Olga; Petkus, Tomas; Filatovas, Ernestas. Visualization of Pareto front points when solving multi-objective optimization problems // Information technology and control / Kauno technologijos universitetas. Kaunas : Technologija. ISSN 1392-124X. 2013, t. 42, no. 4, p. 353-361. DOI: 10.5755/j01.itc.42.4.3209.
59Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor. Web service-based data mining systems // EUROINFORMS : 26th European conference on operational research : abstract book, Rome, 1-4 July, 2013. Roma : Sapienza University. 2013, p. 188.
60Vaira, Gintaras; Kurasova, Olga. A genetic algorithm based on insertion heuristics for solving the VRPTW // EUROINFORMS : 26th European conference on operational research : abstract book, Rome, 1-4 July, 2013. Roma : Sapienza University. 2013, p. 333.
61Stefanovič, Pavel; Kurasova, Olga. Tekstinių dokumentų panašumų paieška naudojant saviorganizuojančius neuroninius tinklus ir k vidurkių metodą // Informacijos mokslai / Vilniaus universitetas. Vilnius : Vilniaus universiteto leidykla. ISSN 1392-0561. 2013, t. 65, p. 24-33. DOI: 10.15388/Im.2013.0.2058.
62Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Rapečka, Aurimas. Duomenų tyrybos sistemos, pagrįstos saityno paslaugomis // Informacijos mokslai / Vilniaus universitetas. Vilnius : Vilniaus universiteto leidykla. ISSN 1392-0561. 2013, t. 65, p. 66-74. DOI: 10.15388/Im.2013.0.2054.
63Paulauskienė, Kotryna; Kurasova, Olga. Duomenų tyrybos sistemų galimybių tyrimas įvairių apimčių duomenims analizuoti // Informacijos mokslai / Vilniaus universitetas. Vilnius : Vilniaus universiteto leidykla. ISSN 1392-0561. 2013, t. 65, p. 85-95. DOI: 10.15388/Im.2013.0.2052.
64Niakšu, Olegas; Gedminaitė, Jurgita; Kurasova, Olga. Data mining approach to predict BRCA1 gene mutation // Computational science and techniques. Klaipėda : Klaipėdos universitetas. ISSN 2029-9966. 2013, vol. 1, no 2, p. 167-182. Prieiga per internetą: <http://journals.ku.lt/index.php/CST/article/view/82>.
65Stefanovič, Pavel; Kurasova, Olga. Text mining and visualization with self-organizing maps // EURO 25 : 25th European conference on operational research : abstracts, Vilnius, 8-11 July, 2012. Vilnius. 2012, p. 252.
66Vaira, Gintaras; Kurasova, Olga. Incorporating constraint preservation in GA operators for VRPTW problem // EURO 25 : 25th European conference on operational research : abstracts, Vilnius, 8-11 July, 2012. Vilnius. 2012, p. 26.
67Niakšu, Olegas; Kurasova, Olga. Data mining applications in healthcare theory vs practice // Databases and information systems : 10th international Baltic conference; local proceedings, July 8-11, 2012, Lithuania / edited by Albertas Čaplinskas, Gintautas Dzemyda, Audronė Lupeikienė, Olegas Vasilecas. Vilnius : Žara, 2012. ISBN 9789986342748. p. 58-70. Prieiga per internetą: <http://ceur-ws.org/Vol-924/paper07.pdf>.
68Dzemyda, Gintautas; Kurasova, Olga; Žilinskas, Julius. Multidimensional data visualization: methods and applications. New York : Springer, 2013. XII, 250 p. ISBN 9781441902351. DOI: 10.1007/978-1-4419-0236-8.
69Medvedev, Viktor; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus. Efficient data projection for visual analysis of large data sets using neural networks = Efektyvi duomenų projekcija didelės apimties duomenims vizualizuoti naudojant neuroninius tinklus // Informatica. Vilnius : Institute of Mathematics and Informatics. ISSN 0868-4952. eISSN 1822-8844. 2011, vol. 22, no. 4, p. 507-520. Prieiga per internetą: <http://www.mii.lt/informatica/pdf/INFO855.pdf>.
70Stefanovič, Pavel; Kurasova, Olga. Visual analysis of self-organizing maps // Nonlinear analysis : modelling and control. Vilnius : Institute of Mathematics and Informatics. ISSN 1392-5113. 2011, Vol. 16, no. 4, p. 488-504. Prieiga per internetą: <https://www.mii.lt/na/issues/NA_1604/NA16409.pdf>.
71Filatovas, Ernestas; Kurasova, Olga. A decision support system for solving multiple criteria optimization problems = Sprendimų paramos sistema daugiakriteriniams optimizavimo uždaviniams // Informatics in education. Vilnius : Matematikos ir informatikos institutas. ISSN 1648-5831. 2011, vol. 10, no. 2, p. 213-224. Prieiga per internetą: <http://www.mii.lt/informatics_in_education/pdf/INFE189.pdf>.
72Vaira, Gintaras; Kurasova, Olga. Parallel bidirectional Dijkstra's shortest path algorithm // Frontiers in artificial intelligence and applications. Vol. 224 : Databases and information systems. VI: selected papers from the 9th International Baltic Conference, DB&IS 2010 / edited by Janis Barzdins, Marite Kirikova. Amsterdam : IOS Press, 2011. ISBN 9781607506874. p. 422-435. DOI: 10.3233/978-1-60750-688-1-422.
73Stefanovič, Pavel; Kurasova, Olga. Influence of Learning Rates and Neighboring Functions on Self-Organizing Maps // Advances in Self-Organizing Maps : 8th International Workshop, WSOM 2011, Espoo, Finland, June 13-15, 2011: Proceedings. Book Series : Lecture Notes in Computer Science. Vol. 6731. Berlin : Springer, 2011. ISBN 9783642215650. p. 141-150. DOI: 10.1007/978-3-642-21566-7_14.
74Kurasova, Olga; Molytė, Alma. Integration of the Self-organizing Map and Neural Gas with Multidimensional Scaling // Information technology and control / Kauno technologijos universitetas. Kaunas : Technologija. ISSN 1392-124X. 2011, t. 40, no. 1, p. 12-20. DOI: 10.5755/j01.itc.40.1.188.
75Kurasova, Olga; Molytė, Alma. Quality of quantization and visualization of vectors obtained by neural gas and self-organizing map = Vektorių, gautų neuroninių dujų ir saviorganizuojančių žemėlapių metodais, vizualizavimo ir kvantavimo kokybės tyrimas // Informatica / Matematikos ir informatikos institutas. Vilnius : Lietuvos mokslų akademijos leidykla. ISSN 0868-4952. 2011, vol. 22, no. 1, p. 115-134. Prieiga per internetą: <http://www.mii.lt/informatica/pdf/INFO821.pdf>.
76Vaira, Gintaras; Kurasova, Olga. Modified bidirectional shortest path Dijkstra's algorithm based on the parallel computation // Databases and information systems : proccedings of the ninth international Baltic conference, Baltic DB&IS 2010 : Riga, Latvia, July 5-7, 2010. Riga : University of Latvia, 2010. ISBN 9789984451992. P. 205-217.
77Kurasova, Olga; Molytė, Alma. Investigation of the quality of mapping vectors obtained by quantization methods // The XIIIth international conference "Applied stochastic models and data analysis" ASMDA-2009 : selected papers : June 30 - July 3, 2009, Vilnius, Lithuania. Vilnius : Technika, 2009. ISBN 9789955284635. P. 269-273. Prieiga per internetą: <http://www.vgtu.lt/leidiniai/leidykla/ASMDA_2009/12/12-104.htm>.
78Kurasova, Olga. Visualization of support vectors // The XIIIth international conference "Applied stochastic models and data analysis" ASMDA-2009 : selected papers : June 30 - July 3, 2009, Vilnius, Lithuania. Vilnius : Technika, 2009. ISBN 9789955284635. P. 522-526. Prieiga per internetą: <http://www.vgtu.lt/leidiniai/leidykla/ASMDA_2009/23/23-104.htm>.
79Petkus, Tomas; Filatovas, Ernestas; Kurasova, Olga. Investigation of human factors while solving multiple criteria optimization problems in computer network // Ūkio technologinis ir ekonominis vystymas = Technological and economic development of economy. ISSN 1392-8619. 2009, Vol. 15, no. 3, p. 464-479. DOI: 10.3846/1392-8619.2009.15.464-479.
80Filatovas, Ernestas; Kurasova, Olga. Decision support system for the optimal selection of feed ingredients // 5th international Vilnius conference [and] EURO-mini conference "Knowledge-based technologies and OR methodologies for decisions of sustainable development" (KORSD-2009) : September 30 - October 3, 2009, Vilnius, Lithuania. Vilnius : Technika, 2009. ISBN 9789955284826. P. 58-63. Prieiga per internetą: <http://www.vgtu.lt/leidiniai/leidykla/KORSD_2009/Pages/03/58-63.htm>.
81Molytė, Alma; Kurasova, Olga. Vektorių kvantavimo metodų ir daugiamačių skalių junginys daugiamačiams duomenims vizualizuoti // Informacijos mokslai. ISSN 1392-0561. 2009, T. 50, p. 340-346.
82Kurasova, Olga; Molytė, Alma. Integrated visualization of vector quantization by multidimensional scaling // Computer graphics, vision and mathematics : in co-operation with Eurographics : GraVisMa 2009 : abstract proceedings : University of West Bohemia, Plzen, Czech Republic : September 2-5, 2009. Plzen : University of West Bohemia, 2009. ISBN 9788086943923. p. 22. Prieiga per internetą: <http://geometryalgebra.zcu.cz/GraVisMa/!_2009_GraVisMa_Abstract_proceedings.pdf>.
83Kurasova, Olga; Molytė, Alma. Combination of vector quantization and visualization // Machine learning and data mining in pattern recognition : 6th international conference, MLDM 2009 : Leipzig, Germany, July 23-25, 2009 : proceedings. Berlin ; Heidelberg : Springer, 2009. ISBN 9783642030697. P. 29-43. DOI: 10.1007/978-3-642-03070-3_3.
84Kurasova, Olga; Molytė, Alma. Neuronų skaičiaus parinkimas vektorių kvantavimo metoduose = Selection of number of neurons for vector quantization methods // Lietuvos matematikos rinkinys. ISSN 0132-2818. 2008, T. 48/49, spec, Nr, p. 354-359.
85Molytė, Alma; Kurasova, Olga. Vektorių kvantavimo metodo Neural-Gas tyrimas = Investigation of vector quantization method Neural-Gas // 11-osios Lietuvos jaunųjų mokslininkų konferencijos "Mokslas - Lietuvos ateitis" : 2008 metų teminės konferencijos : Informatika : (2008 m. balandžio 9-11 d.) : straipsnių rinkinys. Vilnius : Technika, 2008. ISBN 9789955283027. p. 198-205.
86Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Barzdžiukas, Valerijus; Buteikienė, Dovilė; Paunksnis, Alvydas. Rule induction for ophthalmological data classification // 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. 328-334. DOI: ISIP:BIE19.
87Dzemyda, Gintautas; Kurasova, Olga; Žilinskas, Julius. Daugiamačių duomenų vizualizavimo metodai : vadovėlis informatikos krypties doktorantams ir magistrantams / Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas ; Matematikos ir informatikos institutas. Vilnius : Mokslo aidai [i.e. Matematikos ir informatikos institutas], 2008. 204 p. ISBN 9789986680420.
88Karbauskaitė, 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.
89Dzemyda, Gintautas; Kurasova, Olga; Medvedev, Viktor. Dimension reduction and data visualization using neural networks // Frontiers in artificial intelligence and applications. Vol. 160, Emerging artificial intelligence applications in computer engineering : Real word AI systems with applications in eHealth, HCI, Information retrieval and pervasive technologies. Amsterdam ... [etc.] : IOS Press, 2007. ISBN 9781586037802. ISSN 0922-6389. p. 25-49. Prieiga per internetą: <http://www.booksonline.iospress.nl/Content/View.aspx?piid=6951>.
90Dzemyda, Gintautas; Kurasova, Olga. Dimensionality problem in the visualization of correlation-based data // Lecture notes in computer science. ISSN 0302-9743. 2007, Vol. 4432, p. 544-553. DOI: 10.1007/978-3-540-71629-7_61.
91Kurasova, Olga; Dzemyda, Gintautas; Vainoras, Alfonsas. Parameter system for human physiological data representation and analysis // Lecture notes in computer science. ISSN 0302-9743. 2007, Vol. 4477, p. 209-216. DOI: 10.1007/978-3-540-72847-4_28.
92Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Vainoras, Alfonsas. Integration of classification and visualization for diagnosis decisions // International journal of information technology and intelligent computing. ISSN 1895-8648. 2006, Vol. 1, no. 1, p. 57-68.
93Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus. Strategies of selecting the basic vector set in the relative MDS = Bazinių vektorių parinkimo strategijų analizė, taikant santykinį daugiamačių skalių metodą // Ūkio technologinis ir ekonominis vystymas. ISSN 1392-8619. 2006, Vol. 12, no. 4, p. 283-288. Prieiga per internetą: <http://www.tede.vgtu.lt/upload/ukis_zurn/04_2006_nr4.pdf>.
94Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus. Decision support for preliminary medical diagnosis integrating the data mining methods // Simulation and optimisation in business and industry: international conference on operational research, May 17-20, 2006 Tallinn, Estonia. Kaunas : Technologija, 2006. ISBN 9955250615. p. 155-160. DOI: ISIP:000238971600028.
95Dzemyda, Gintautas; Kurasova, Olga. Heuristic approach for minimizing the projection error in the integrated mapping // European journal of operational research. ISSN 0377-2217. 2006, Vol. 171, iss. 3, p. 859-878. DOI: 10.1016/j.ejor.2004.09.011.
96Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus. Optimal decisions in combining the SOM with nonlinear projection methods // European journal of operational research. ISSN 0377-2217. 2006, Vol. 173, iss. 3, p. 729-745. DOI: 10.1016/j.ejor.2005.05.030.
97Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus; Šaltenis, Vydūnas; Tiešis, Vytautas. Visualization and analysis of the eye fundus parameters // Proceedings of the 6th Nordic conference on eHealth and telemedicine NCeHT2006 : 31 August - 1 September 2006, Finlandia Hall, Helsinki, Finland. Helsinki. 2006, p. 267-268. Prieiga per internetą: <http://www.nceht2006.org/NCeHT2006_Proceedings_.pdf>.
98Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor. The problem of visual analysis of multidimensional medical data // Springer optimization and its applications. Vol. 4, Models and algorithms for global optimization. New York : Springer, 2007. ISBN 0387367209. p. 277-298. DOI: 10.1007/978-0-387-36721-7_17.
99Dzemyda, Gintautas; Kurasova, Olga. Oftalmologinių duomenų vizuali analizė = Visual analysis of ophthalmologic data // Informacijos mokslai. ISSN 1392-0561. 2005, T. 34, p. 237-242. Prieiga per internetą: <http://www.tzc.vu.lt/get.php?f.3201>.
100Dzemyda, Gintautas; Bernatavičienė, Jolita; Kurasova, Olga; Marcinkevičius, Virginijus. Minimization of the mapping error using coordinate descent // WSCG'2005 : the 13-th International conference in Central Europe on computer graphics, visualization and computer vision 2005 in co-operation with Eurographics. Plzen : University of West Bohemia, 2005. ISBN 8090310095. p. 169-172. Prieiga per internetą: <http://wscg.zcu.cz/wscg2005/Papers_2005/Short/B43-full.pdf>.
101Dzemyda, Gintautas; Kurasova, Olga; Šaltenis, Vydūnas; Tiešis, Vytautas. Lietuvos pedagogų duomenų bazių analizė matematikos mokymo požiūriu = The analysis of the Lithuanian teacher's databases in the scope of mathematics' teaching // Lietuvos matematikos rinkinys, T.41, spec. nr.: Lietuvos matematikų draugijos XLII konferencijos mokslo darbai. Vilnius, 2001. ISBN 9986680212. p. 272-277.
102Dzemyda, Gintautas; Kurasova, Olga. Daugiamačių duomenų vizualizavimas įvertinant savireguliuojančių neuroninių tinklų mokymo eigą = Visualization of multidimensional data taking into account the learning flow of the self organizing neural network // Lietuvos matematikos rinkinys, T.42, spec. nr.: Lietuvos matematikų draugijos XLIII konferencijos mokslo darbai. Vilnius, 2002. ISBN 9986680212. p. 235-240.
103Dzemyda, Gintautas; Kurasova, Olga. Comparative analysis of the graphical result presentation in the SOM software = Savireguliuojančių žemėlapių programų rezultatų grafinio pateikimo lyginamoji analizė // Informatica. ISSN 0868-4952. 2002, Vol. 13, no. 3, p. 275-286. DOI: ISI:000178650600002.
104Dzemyda, Gintautas; Kurasova, Olga. Dirbtinių neuroninių tinklų taikymas bendrojo lavinimo mokykloms palyginti = Application of the artificial neural networks to compare the Lithuanian secondary schools // Informacijos mokslai. ISSN 1392-0561. 2002, T. 22, p. 42-50.
105Dzemyda, Gintautas; Kurasova, Olga; Šaltenis, Vydūnas; Tiešis, Vytautas. Informatikos mokytojų poreikis bei kokybiniai rodikliai = Demand and indicators of informatics teachers // Informacijos mokslai. ISSN 1392-0561. 2001, T. 18, p. 31-34.
106Dzemyda, Gintautas; Kurasova, Olga; Šaltenis, Vydūnas; Tiešis, Vytautas. Lietuvos pedagogų duomenų bazių analizė: pedagoginio personalo bei moksleivių srautai ir prognozės = Analysis of the Lithuanian teachers' databases: flows and prognoses of teachers and pupils // Pedagogika. ISSN 1392-0340. 2001, T. 52, p. 93-104.
107Dzemyda, Gintautas; Kurasova, Olga. Procesų, vykstančių bendrojo lavinimo mokyklose, analizė naudojantis dirbtiniais neuroniniais tinklais = Analysis of the processes in the Lithuanian secondary school by using artificial neural networks // Švietimo reforma ir mokytojų rengimas. Ugdymas ir informacinės visuomenės kūrimas : VIII tarptautinė mokslinė konferencija, Vilnius, 2001 lapkričio 14-16 d. : Pranešimai. Vilnius. 2001, p. 14-22.
108Dzemyda, Gintautas; Kurasova, Olga; Šaltenis, Vydūnas; Tiešis, Vytautas. Lietuvos pedagogų duomenų bazių analizė // Informacinės technologijos 2001 : Konferencijos pranešimų medžiaga. Kaunas, 2001. ISBN 9955090987. p. 79-86.
109Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus. Lygiagretūs skaičiavimai savireguliuojančio neuroninio tinklo junginyje su Sammono algoritmu = Parallelization in combining the SOM and Sammon's mapping // Lietuvos matematikos rinkinys. ISSN 0132-2818. 2003, T. 43, spec, nr, p. 218-222.
110Dzemyda, Gintautas; Bernatavičienė, Jolita; Kurasova, Olga; Marcinkevičius, Virginijus. Sammono projekcijos paklaidos minimizavimo strategijos = Strategies of minimization of Sammon's mapping error // Lietuvos matematikos rinkinys. ISSN 0132-2818. 2004, T. 44, spec, Nr, p. 628-633.
111Dzemyda, Gintautas; Kurasova, Olga. Parallelization of the SOM-based integrated mapping // Lecture notes in computer science. ISSN 0302-9743. 2004, Vol. 3070, p. 178-183. DOI: 10.1007/b98109.