Agha, M., Frasincar, F., Zhu, B., Robal, T.

kompaktne vaade prindi

Enhancing the aspect robustness score of the HAABSA++ model using adversarial training

autor

Agha, Milad

Frasincar, Flavius

Zhu, Beilly

Robal, Tarmo

vastutusandmed

Milad Agha, Flavius Frasincar, Beilly Zhu & Tarmo Robal

allikas

Web Engineering : 25th International Conference, ICWE 2025, Delft, The Netherlands, June 30 – July 3, 2025 : Proceedings

kirjastus/väljaandja

Springer

ilmumisaasta

2026

leheküljed

p. 89-103

seeria-sari

Lecture notes in computer science ; 15749

konverentsi nimetus, aeg

25th International Conference, The Inclusive Web : Realizing Safe, Accessible, Inclusive, and Sustainable Web Engineering (ICWE 2025), June 30 – July 3, 2025

konverentsi toimumispaik

Delft, The Netherlands

leitav

https://doi.org/10.1007/978-3-031-97207-2

https://link.springer.com/chapter/10.1007/978-3-031-97207-2_7

märksõna

kriitiline psühholoogia

kriitiline mõtlemine

psühhomeetria

küberturve

infoturve

töökindlus

hindamine

testimine

võtmesõna

critical psychology

critical thinking

psychometrics

security science and technology

system robustness

assessment and testing

ISSN

0302-9743

ISBN

978-3-031-97206-5

teaduspublikatsioon

klassifikaator

3.1

TTÜ struktuuriüksus

IT kolledž

keel

Inglise

Agha, M., Frasincar, F., Zhu, B., Robal, T. Enhancing the aspect robustness score of the HAABSA++ model using adversarial training // Web Engineering : 25th International Conference, ICWE 2025, Delft, The Netherlands, June 30 – July 3, 2025 : Proceedings. : Springer, 2026. p. 89-103. (Lecture notes in computer science ; 15749). https://doi.org/10.1007/978-3-031-97207-2 https://link.springer.com/chapter/10.1007/978-3-031-97207-2_7