VU Duomenų mokslo ir skaitmeninių technologijų instituto / Matematikos ir informatikos instituto autoriaus (-ių) 'Viktor Medvedev' publikacijų sąrašas (pagal Lietuvos akademinių bibliotekų tinklo (LABT) publikacijų bazes VUB [nuo 2011 m. iki dabar] ir LMAVB [iki 2010 m. imtinai]):
Publications of 'Viktor Medvedev', 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
1Budžys, Arnoldas; Kurasova, Olga; Medvedev, Viktor. Intrusion detection based on keystroke biometrics and siamese neural networks // DAMSS: 13th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 1–3, 202. Vilnius : Vilnius University Press, 2022. ISBN 9786090707944. eISBN 9786090707951. p. 13. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 31). DOI: 10.15388/DAMSS.13.2022.
2Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor. DAMIS – nacionalinio mokslo informacijos archyvo MIDAS duomenų analizės įrankis. // Mokslas ir technika. Vilnius : Mokslas ir technika. ISSN 0134-3165. 2015, Nr. 3, p. 10-13.
3Kurasova, Olga; Dzemyda, Gintautas; Medvedev, Viktor; Šubonienė, Aušra; Gipiškis, Rokas; Strupas, Kęstutis; Kielaitė-Gulla, Aistė; Samuilis, Artūras; Jagminas, Džiugas. Deep learning models for pancreatic cancer detection in CT images // EURO 2022: [32nd European Conference on Operational Research (EURO XXXII)], Espoo, Finland, July 3-6, 2022 : abstract book. Espoo : Aalto university, 2022. ISBN 9789519525419. p. 242-243. Prieiga per internetą: <https://www.euro-online.org/conf/admin/tmp/program-euro32.pdf>.
4Filatovas, Ernestas; Igumenov, Aleksandr; Medvedev, Viktor; Paulavičius, Remigijus. Evaluation of the energy usage of Ethereum blockchain network // EURO 2022: [32nd European Conference on Operational Research (EURO XXXII)], Espoo, Finland, July 3-6, 2022 : abstract book. Espoo : Aalto university, 2022. ISBN 9789519525419. p. 90. Prieiga per internetą: <https://www.euro-online.org/conf/admin/tmp/program-euro32.pdf>.
5Budžys, Arnoldas; Kurasova, Olga; Medvedev, Viktor. Deep learning-based prevention of insider threats using user behavioral keystroke biometrics // EURO 2022: [32nd European Conference on Operational Research (EURO XXXII)], Espoo, Finland, July 3-6, 2022 : abstract book. Espoo : Aalto university, 2022. ISBN 9789519525419. p. 144. Prieiga per internetą: <https://www.euro-online.org/conf/admin/tmp/program-euro32.pdf>.
6Medvedev, Viktor; Sabaliauskas, Martynas; Dzemyda, Gintautas. Exploring the possibilities of geometric multidimensional scaling for large-scale data // EURO 2022: [32nd European Conference on Operational Research (EURO XXXII)], Espoo, Finland, July 3-6, 2022 : abstract book. Espoo : Aalto university, 2022. ISBN 9789519525419. p. 44. Prieiga per internetą: <https://www.euro-online.org/conf/admin/tmp/program-euro32.pdf>.
7Kielaitė-Gulla, Aistė; Kurasova, Olga; Samuilis, Artūras; Jagminas, Džiugas; Medvedev, Viktor; Šubonienė, Aušra; Gipiškis, Rokas; Strupas, Kęstutis; Dzemyda, Gintautas. Utilizing deep learning for early diagnosis of pancreatic ductal adenocarcinoma // Joint congress of the 26th meeting of International Association of Pancreatology and the 53rd annual meeting of Japan Pancreas Society, 7-9 July, 2022 : abstract book. Kyoto : International Association of Pancreatology; Japan Pancreas Society. 2022, p. 165-166. Prieiga per internetą: <https://convention.app.box.com/s/r7txfzrb8gio4tu9ph1w7az1vso0oz4r>.
8Markevičiūtė, Jurgita; Bernatavičienė, Jolita; Levulienė, Rūta; Medvedev, Viktor; Treigys, Povilas; Venskus, Julius. Impact of COVID-19-related lockdown measures on economic and social outcomes in Lithuania // Mathematics. Basel : MPDI. eISSN 2227-7390. 2022, vol. 10, no. 15, art. no. 2734, p. [1-20]. DOI: 10.3390/math10152734.
9Dzemyda, Gintautas; Sabaliauskas, Martynas; Medvedev, Viktor. Geometric MDS performance for large data dimensionality reduction and visualization // Informatica. Vilnius : Vilniaus universiteto leidykla. ISSN 0868-4952. eISSN 1822-8844. 2022, vol. 33, no. 2, p. 299-320. DOI: 10.15388/22-INFOR491.
10Dzemyda, Gintautas; Medvedev, Viktor; Sabaliauskas, Martynas. Multi-core implementation of geometric multidimensional scaling for large-scale data // Information systems and technologies : proceedings of the 10th World conference on information systems and technologies {WorldCIST 2022). Vol. 2 / Editors: Alvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira. Cham : Springer International Publishing, 2022. ISBN 9783031048180. eISBN 9783031048197. p. 74-82. (Lecture notes in networks and systems, ISSN 2367-3370, eISSN 2367-3389 ; vol. 469). DOI: 10.1007/978-3-031-04819-7_8.
11Golubickas, Domas; Lukoševičius, Saulius; Tamakauskas, Vytenis; Dobrovolskienė, Laima; Basevičienė, Ingrida; Grib, Liviu; Ragaišytė, Nijolė; Leonavičius, Rytis; Medvedev, Viktor; Veikutis, Vincentas. Image quality in computed tomography coronary angiography and radiation dose reduction // Informatica. Vilnius : Vilniaus universitetas. ISSN 0868-4952. eISSN 1822-8844. 2021, vol. 32, iss. 4, p. 741-757. DOI: 10.15388/21-INFOR464.
12Igumenov, Aleksandr; Filatovas, Ernestas; Medvedev, Viktor; Paulavičius, Remigijus. Estimating energy consumption of Ethereum network // DAMSS 2021: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021. Vilnius : Vilnius University Press, 2021. ISBN 9786090706732. eISBN 9786090706749. p. 25. (Vilnius university proceedings, ISSN 2669-0233). DOI: 10.15388/DAMSS.12.2021.
13Dzemyda, Gintautas; Medvedev, Viktor; Sabaliauskas, Martynas. On the parallelization of the geometric multidimensional scaling // DAMSS: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021. Vilnius : Vilnius University Press, 2021. ISBN 9786090706732. eISBN 9786090706749. p. 15-16. (Vilnius university proceedings, ISSN 2669-0233). DOI: 10.15388/DAMSS.12.2021.
14Šubonienė, Aušra; Kurasova, Olga; Medvedev, Viktor; Kielaitė-Gulla, Aistė; Samuilis, Artūras; Jagminas, Džiugas; Strupas, Kęstutis; Dzemyda, Gintautas. On the computed tomography image data to diagnose pancreatic cancer using machine learning // DAMSS: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021. Vilnius : Vilnius University Press, 2021. ISBN 9786090706732. eISBN 9786090706749. p. 71-72. (Vilnius university proceedings, ISSN 2669-0233). DOI: 10.15388/DAMSS.12.2021.
15Budžys, Arnoldas; Medvedev, Viktor; Kurasova, Olga. User behaviour analysis based on similarity measures to detect anomalies // DAMSS: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021. Vilnius : Vilnius University Press, 2021. ISBN 9786090706732. eISBN 9786090706749. p. 8. DOI: 10.15388/DAMSS.12.2021.
16Markevičiūtė, Jurgita; Bernatavičienė, Jolita; Levulienė, Rūta; Medvedev, Viktor; Treigys, Povilas. COVID-19 infection in Lithuania: analysis of social-economic consequences // DAMSS: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021. Vilnius : Vilnius University Press, 2021. ISBN 9786090706732. eISBN 9786090706749. p. 48. DOI: 10.15388/DAMSS.12.2021.
17Kielaitė-Gulla, Aistė; Strupas, Kęstutis; Samuilis, Artūras; Kurasova, Olga; Medvedev, Viktor; Arsenjeva, Jaroslava; Zaronskis, Simonas; Dzemyda, Gintautas. Convolutional Neural Network (CNN) model for recognition of pancreatic cancer // BAS2021: 10th Congress of the Baltic association of surgeons, 3-4 June, 2021, virtual event : abstract book. Rīga : Baltic association of surgeons. 2021, p. 71-72. Prieiga per internetą: <https://site-926903.mozfiles.com/files/926903/BAS_abstracts.pdf>.
18Markevičiūtė, Jurgita; Bernatavičienė, Jolita; Levulienė, Rūta; Medvedev, Viktor; Treigys, Povilas; Venskus, Julius. Attention-based and time series models for short-term forecasting of COVID-19 spread // CMC-Computers, materials & continua. Henderson, NV : TECH Science Press. ISSN 1546-2218. eISSN 1546-2226. 2022, vol. 70, no. 1, p. 695-714. DOI: 10.32604/cmc.2022.018735.
19Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Mikulskienė, Birutė. Early cost estimation in customized furniture manufacturing using machine learning // International journal of machine learning and computing. Singapore : IJMLC. eISSN 2010-3700. 2021, vol. 11, no. 1, p. 28-33. DOI: 10.18178/ijmlc.2021.11.1.1010.
20Arsenjeva, Jaroslava; Medvedev, Viktor; Dzemyda, Gintautas. Multisensor data fusion for data analysis // 11th international workshop on data analysis methods for software systems (DAMSS 2019), Druskininkai, Lithuania, November 28-30, 2019 / Lithuanian Computer Society, Vilnius University Institute of Data Science and Digital Technologies, Lithuanian Academy of Sciences. Vilnius : Vilnius University Press, 2019. ISBN 9786090703243. eISBN 9786090703250. p. 7. DOI: 10.15388/Proceedings.2019.8.
21Venskus, Julius; Treigys, Povilas; Bernatavičienė, Jolita; Tamulevičius, Gintautas; Medvedev, Viktor. Real-time maritime traffic anomaly detection based on sensors and history data embedding // Sensors. Basel : MDPI. ISSN 1424-8220. 2019, vol. 19, no. 17, art. no. 3782, p. 1-10. DOI: 10.3390/s19173782.
22Dzemyda, 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.
23Venskus, Julius; Treigys, Povilas; Bernatavičienė, Jolita; Medvedev, Viktor. Retraining strategies of modified SOM for abnormal marine traffic detection // 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. 54. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2017.pdf>.
24Venskus, Julius; Treigys, Povilas; Bernatavičienė, Jolita; Medvedev, Viktor; Voznak, Miroslav; Kurmis, Mindaugas; Bulbenkienė, Violeta. Integration of a self-organizing map and a virtual pheromone for real-time abnormal movement detection in marine traffic // Informatica. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas. ISSN 0868-4952. eISSN 1822-8844. 2017, vol. 28, no. 2, p. 359-374. DOI: 10.15388/Informatica.2017.133.
25Medvedev, 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.
26Jucevičius, Justinas; Treigys, Povilas; Bernatavičienė, Jolita; Briedienė, Rūta; Naruševičiūtė, Ieva; Dzemyda, Gintautas; Medvedev, Viktor. Automated 2D segmentation of prostate in T2-weighted MRI scans // International journal of computers communications & control. Oradea : Universitatea Agora. ISSN 1841-9836. eISSN 1841-9844. 2017, Vol. 12, No. 1, p. 53-60. Prieiga per internetą: <http://univagora.ro/jour/index.php/ijccc/article/view/2783/1059>.
27Stabingis, Giedrius; Bernatavičienė, Jolita; Treigys, Povilas; Paunksnis, Alvydas; Vaičaitienė, R.; Medvedev, Viktor. Automated blood vessels diameter measurement in eye fundus images // 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. 55-56. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2016_abstract_el_v_.pdf>.
28Bernatavičienė, 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.
29Medvedev, 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.
30Medvedev, 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>.
31Dzemyda, 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.
32Zubova, 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>.
33Medvedev, 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.
34Kurasova, 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.
35Lupeikienė, 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>.
36Bernatavičienė, Jolita; Dzemyda, Gintautas; Bazilevičius, Gediminas; Medvedev, Viktor; Marcinkevičius, Virginijus; Treigys, Povilas. Method for visual detection of similarities in medical streaming data // International journal of computers communications & control. Oradea : Universitatea Agora. ISSN 1841-9836. 2015, Vol. 10, no. 1, p. 8-21. DOI: 10.15837/ijccc.2015.1.1310.
37Kurasova, 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.
38Bernatavičienė, Jolita; Dzemyda, Gintautas; Bazilevičius, Gediminas; Medvedev, Viktor; Marcinkevičius, Virginijus; Treigys, Povilas. Visual method of streaming data similarity estimation // Data analysis methods for software systems : 6th International Workshop : [abstracts book], Druskininkai, Lithuania, December 4-6, 2014. [Vilnius], 2014. ISBN 9789986680505. p. 15.
39Kurasova, 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.
40Bernatavičienė, 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>.
41Kurasova, 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.
42Bernatavičienė, Jolita; Bazilevičius, Gediminas; Dzemyda, Gintautas; Medvedev, Viktor. Comparative analysis of similarity measures for medical streaming data // Computer data analysis and modeling: theoretical and applied stochatics : proceedings of the 10th international conference, Minsk, September 10-14. Vol. 1. Minsk : Publishing center of BSU, 2013. ISBN 9789855531372. p. 17-20. Prieiga per internetą: <http://elib.bsu.by/bitstream/123456789/51926/1/17-20.pdf>.
43Kurasova, 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.
44Besson, Jérémy Daniel; Lupeikienė, Audronė; Medvedev, Viktor. Comparing real and intended system usages: a case for web portal = Realaus ir prognozuoto sistemos naudojimo palyginimas: web portalo atvejis // Informatica / Matematikos ir informatikos institutas. Vilnius : Lietuvos mokslų akademijos leidykla. ISSN 0868-4952. 2012, vol. 23, no. 2, p. 191-201. Prieiga per internetą: <http://www.mii.lt/informatica/pdf/INFO862.pdf>.
45Medvedev, 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>.
46Dzemyda, Gintautas; Marcinkevičius, Virginijus; Medvedev, Viktor. Web application for large-scale multidimensional data visualization // Mathematical modelling and analysis = Matematinis modeliavimas ir analizė / Vilnius Gediminas Technical University, Institute of Mathematics and Informatics. Vilnius : Technika. ISSN 1392-6292. 2011, vol. 16, no. 2, p. 273-285. DOI: 10.3846/13926292.2011.580381.
47Dzemyda, Gintautas; Marcinkevičius, Virginijus; Medvedev, Viktor. Large-scale multidimensional data visualization: a Web service for data mining // Towards a service-based internet : 4th European Conference, ServiceWave 2011, Poznan, Poland, October 26-28, 2011: proceedings. - Book Series : Lecture Notes in Computer Science. Vol. 6994. Berlin : Springer, 2011. ISBN 9783642247545. p. 14-25.
48Medvedev, Viktor; Dzemyda, Gintautas. Neural network-based large datasets visualization using a reduced training subset // 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. 28. Prieiga per internetą: <http://geometryalgebra.zcu.cz/GraVisMa/!_2009_GraVisMa_Abstract_proceedings.pdf>.
49Marcinkevičius, Virginijus; Medvedev, Viktor. Mining and visualization web logs for users behavior analysis // 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. 37. Prieiga per internetą: <http://geometryalgebra.zcu.cz/GraVisMa/!_2009_GraVisMa_Abstract_proceedings.pdf>.
50Ivanikovas, Sergėjus; Dzemyda, Gintautas; Medvedev, Viktor. Influence of the neuron activation function on the multidimensional data visualization quality // The XIIIth international conference "Applied stochastic models and data analysis" ASMDA-2009 : selected papers. Vilnius : Technika, 2009. ISBN 9789955284635. P. 299-303. Prieiga per internetą: <http://www.vgtu.lt/leidiniai/leidykla/ASMDA_2009/14/14-101.htm>.
51Ivanikovas, Sergėjus; Dzemyda, Gintautas; Medvedev, Viktor. Large datasets visualization with neural network using clustered training data // Lecture notes in computer science. ISSN 0302-9743. 2008, Vol. 5207, p. 143-152. DOI: 10.1007/978-3-540-85713-6.
52Ivanikovas, Sergėjus; Dzemyda, Gintautas; Medvedev, Viktor. Neural network-based visualization using clustered data // 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. 335-341.
53Dzemyda, 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>.
54Ivanikovas, Sergėjus; Medvedev, Viktor; Dzemyda, Gintautas. Parallel realizations of the SAMANN algorithm // Lecture notes in computer science. ISSN 0302-9743. 2007, Vol. 4432, p. 179-188. DOI: 10.1007/978-3-540-71629-7.
55Medvedev, Viktor; Dzemyda, Gintautas. Optimization of the local search in the training for SAMANN neural network // Journal of global optimization. ISSN 0925-5001. 2006, Vol. 35, Iss. 4, p. 607-623. DOI: 10.1007/s10898-005-5368-1.
56Medvedev, Viktor; Dzemyda, Gintautas. Speed up of the SAMANN neural network retraining // Lecture notes in artificial intelligence. ISSN 0302-9743. 2006, Vol. 4029, p. 94-103. DOI: 10.1007/11785231_11.
57Bernatavičienė, 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.
58Medvedev, Viktor; Dzemyda, Gintautas. Retraining of the SAMANN network // SOFSEM 2006: theory and practice of computer science : 32nd conference on current trends in theory and practice of computer science : Mĕřín, Czech Republic, January 2006 : Proceedings. Vol. 2. Prague : Institute of computer science AS CR, 2006. ISBN 8090329845. p. 137-144.
59Medvedev, Viktor; Dzemyda, Gintautas. Retraining the neural network for data visualization // IFIP International Federation for Information Processing. 204, Artificial Intelligence Applications and Innovations : 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI) 2006 : June 7-9, 2006, Athens, Greece. Boston : Springer, 2006. ISBN 9780387342238. p. 27-34. DOI: 10.1007/0-387-34224-9.
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