1 | Vaitkevičius, Paulius; Marcinkevičius, Virginijus. Composition of ensembles of recurrent neural networks for phishing websites detection // Databases and information systems: 14th International Baltic conference, DB&IS 2020, Tallinn, Estonia, June 16–19, 2020, proceedings. Cham : Springer, 2020. ISBN 9783030576714. eISBN 9783030576721. p. 297-310. (Communications in Computer and Information Science, ISSN 1865-0929, eISSN 1865-0937 ; vol. 1243). DOI: 10.1007/978-3-030-57672-1_22. |
2 | Vaitkevičius, Paulius; Marcinkevičius, Virginijus. Comparison of classification algorithms for detection of phishing websites // Informatica. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas. ISSN 0868-4952. eISSN 1822-8844. 2020, vol. 31, no. 1, p. 143-160. DOI: 10.15388/20-INFOR404. |
3 | Vaitkevičius, Paulius; Marcinkevičius, Virginijus. Learning phishing websites URLs using long short-term memory network and gated recurrent units // 11th international workshop on data analysis methods for software systems, 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. 88. Prieiga per internetą: <https://www.mii.lt/datamss/files/DAMSS_2019.pdf>. |