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Linas Bukauskas
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2020 – today
- 2024
- [c15]Konstantinos Crysanthos Sofianos, Michael Stefanidakis, Alexios Kaponis, Linas Bukauskas:
Assist of AI in a Smart Learning Environment. AIAI (4) 2024: 263-275 - 2023
- [j7]Simonas Saltenis, Andrius Barauskas, Agne Brilingaite, Linas Bukauskas, Vaida Ceikute, Alminas Civilis:
Charge-Arrival-Time Profiles for Long EV Routes. IEEE Access 11: 133004-133020 (2023) - [j6]Andrius Barauskas, Agne Brilingaite, Linas Bukauskas, Vaida Ceikute, Alminas Civilis, Simonas Saltenis:
Test-data generation and integration for long-distance e-vehicle routing. GeoInformatica 27(4): 737-758 (2023) - [c14]Ginta Majore, Linas Bukauskas, Stefan Sütterlin, Agne Brilingaite:
Advancing Human Performance in Cybersecurity, ADVANCES. CAiSE Research Projects Exhibition 2023: 76-82 - [c13]Nojus Makulavicius, Agne Brilingaite, Linas Bukauskas, Alminas Civilis, Virgilijus Krinickij, Simonas Saltenis:
E-TRI: E-Vehicle Testbed Routing Infrastructure. SIGSPATIAL/GIS 2023: 71:1-71:4 - [c12]Virgilijus Krinickij, Linas Bukauskas:
Challenges in Cybersecurity Group Interoperability Training. HCI (45) 2023: 273-278 - [c11]Sahak Ivasauskas, Marius Gaubas, Linas Bukauskas:
In-Kernel Authentication Request Analysis for Human and Bot Distinction. HCI (53) 2023: 408-417 - [c10]Alminas Civilis, Andrius Barauskas, Agne Brilingaite, Linas Bukauskas, Simonas Saltenis:
Managing Advanced and Flexible Ride-Hailing Requests. IWCTS@SIGSPATIAL 2023: 62-69 - 2022
- [j5]Agne Brilingaite, Linas Bukauskas, Ausrius Juozapavicius, Eduardas Kutka:
Overcoming information-sharing challenges in cyber defence exercises. J. Cybersecur. 8(1) (2022) - [j4]Mahmoud E. Hodeish, Linas Bukauskas, Vikas T. Humbe:
A new efficient TKHC-based image sharing scheme over unsecured channel. J. King Saud Univ. Comput. Inf. Sci. 34(4): 1246-1262 (2022) - [c9]Gabriele Kvietinskaite, Linas Bukauskas, Virgilijus Krinickij:
Cyber Security Table-Top Exercise Gamification with Dynamic Scenario for Qualification Assessment. HCI (48) 2022: 54-62 - 2021
- [c8]Andrius Barauskas, Agne Brilingaite, Linas Bukauskas, Vaida Ceikute, Alminas Civilis, Simonas Saltenis:
Semi-synthetic Data and Testbed for Long-Distance E-Vehicle Routing. ADBIS (Short Papers) 2021: 61-71 - [c7]Laima Ambrozaityte, Agne Brilingaite, Linas Bukauskas, Ingrida Domarkiene, Tautvydas Rancelis:
Human Characteristics and Genomic Factors as Behavioural Aspects for Cybersecurity. HCI (15) 2021: 333-350 - [c6]Aiste Jureviciene, Agne Brilingaite, Linas Bukauskas:
Digital Human in Cybersecurity Risk Assessment. HCI (15) 2021: 418-432 - 2020
- [j3]Agne Brilingaite, Linas Bukauskas, Ausrius Juozapavicius:
A framework for competence development and assessment in hybrid cybersecurity exercises. Comput. Secur. 88 (2020)
2010 – 2019
- 2018
- [j2]Agne Brilingaite, Linas Bukauskas, Anita Juskeviciene:
Competency Assessment in Problem-Based Learning Projects of Information Technologies Students. Informatics Educ. 17(1): 21-44 (2018) - 2014
- [c5]Vilius Okockis, Linas Bukauskas:
Meta-Modelling In Document-Oriented Databases. DB&IS 2014: 57-70
2000 – 2009
- 2008
- [p1]Michael H. Böhlen, Linas Bukauskas, Arturas Mazeika, Peer Mylov:
The 3DVDM Approach: A Case Study with Clickstream Data. Visual Data Mining 2008: 13-29 - 2004
- [c4]Linas Bukauskas, Michael H. Böhlen:
Incremental Observer Relative Data Extraction. BNCOD 2004: 165-177 - [c3]Linas Bukauskas, Michael H. Böhlen:
Query Load Balancing for Incremental Visible Object Extraction. IDEAS 2004: 344-353 - 2003
- [j1]Michael H. Böhlen, Linas Bukauskas, Poul Svante Eriksen, Steffen L. Lauritzen, Arturas Mazeika, Peter Musaeus, Peer Mylov:
3D visual data mining - goals and experiences. Comput. Stat. Data Anal. 43(4): 445-469 (2003) - [c2]Linas Bukauskas, Leo Mark, Edward Omiecinski, Michael H. Böhlen:
iTopN: incremental extraction of the N most visible objects. CIKM 2003: 461-468
1990 – 1999
- 1999
- [c1]Michael H. Böhlen, Linas Bukauskas, Curtis E. Dyreson:
The Jungle Database Search Engine. SIGMOD Conference 1999: 584-586
Coauthor Index
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