VU Duomenų mokslo ir skaitmeninių technologijų instituto / Matematikos ir informatikos instituto autoriaus (-ių) 'Viktoras Bulavas' publikacijų sąrašas (pagal Lietuvos akademinių bibliotekų tinklo (LABT) publikacijų bazes VUB [nuo 2011 m. iki dabar] ir LMAVB [iki 2010 m. imtinai]):
Publications of 'Viktoras Bulavas', 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
1Bulavas, Viktoras. Improving machine learning model performance on detection of network infiltration // 4th International Conference on Human System Interaction (HSI), 8-10 July 2021 : IEEE, 2021. ISBN 9781665431088. eISBN 9781665441124. eISSN 2158-2254. p. [1-6]. DOI: 10.1109/HSI52170.2021.9538669.
2Bulavas, Viktoras; Marcinkevičius, Virginijus; Ruminski, Jacek. Study of multi-class classification algorithms' performance on highly imbalanced network intrusion datasets // Informatica. Vilnius : Vilniaus universiteto leidykla. ISSN 0868-4952. eISSN 1822-8844. 2021, vol. 32, iss. 3, p. 441-475. DOI: 10.15388/21-INFOR457.
3Bulavas, Viktoras. Fractal dimensionality of network traffic as a feature for intrusion detection // 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. 16. DOI: 10.15388/Proceedings.2019.8.
4Bulavas, Viktoras. Investigation of network intrusion detection using data visualization methods // 59th International scientific conference on information technology and management science of Riga Technical University (ITMS), October 10-12, 2018, Riga, Latvia : proceedings / Edited by Grabis, J., Romanovs, A., Kuleshova, G. Piscataway : NJ : IEEE, 2018, art. no. 8552977. eISBN 9781728100982. p. [1-6]. DOI: 10.1109/ITMS.2018.8552977.
5Bulavas, Viktoras; Dzemyda, Gintautas; Marcinkevičius, Virginijus. An investigation of early cyber threat detection using ensembles of machine learning methods // 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. 9-10. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2017.pdf>.