Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Marzieh Bitaab"'
Autor:
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabagdi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 9, Pp 1147-1162 (2021)
AbstractDespite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich languages like English. This work focuses on Persian language,
Externí odkaz:
https://doaj.org/article/628c3c423b8e4fc681edcc882bbb9c33
Autor:
Saber Sheybani, Sarik Ghazarian, Shahab Raji, Erfan Noury, Arman Kabiri, Yadollah Yaghoobzadeh, Niloofar Safi Samghabadi, Moin Aminnaseri, Erfan Sadeqi Azer, Faeze Brahman, Siamak Shakeri, Daniel Khashabi, Ali Tazarv, Mozhdeh Gheini, Omid Memarrast, Mohammad Sadegh Rasooli, Mahsa Shafaei, Malihe Alikhani, Marzieh Bitaab, Pouya Pezeshkpour, Arman Cohan, Sepideh Sadeghi, Rabeeh Karimi Mahabagdi, Pedram Hosseini, Ahmadreza Mosallanezhad
Publikováno v:
Transactions of the Association for Computational Linguistics. 9:1147-1162
Despite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich languages like English. This work focuses on Persian language, one of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9b56afd3f51a87f151b56eb4f92e810
https://doi.org/10.1162/tacl_a_00419
https://doi.org/10.1162/tacl_a_00419
Autor:
Ruoyu Wang, Penghui Zhang, Haehyun Cho, Yan Shoshitaishvili, Adam Doupé, Marzieh Bitaab, Rana Pourmohamad, Zhibo Sun, Adam Oest, Gail-Joon Ahn, Tiffany Bao, Doowon Kim
Publikováno v:
eCrime
As the COVID-19 pandemic started triggering widespread lockdowns across the globe, cybercriminals did not hesitate to take advantage of users' increased usage of the Internet and their reliance on it. In this paper, we carry out a comprehensive measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b197977c583dbd2f34e793b2f3335c0
http://arxiv.org/abs/2103.12843
http://arxiv.org/abs/2103.12843
Autor:
Sattar Hashemi, Marzieh Bitaab
Publikováno v:
ISCISC
Nowadays, cybercrimes have become a major threat for computer networks. Many researchers considered Network Intrusion Detection System (NIDS) as a layer of defense and proposed new methods for detecting malicious network traffics. In this paper, we p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c502b7336dec868c6abcc97668eda8a
https://doi.org/10.1109/iscisc.2017.8488375
https://doi.org/10.1109/iscisc.2017.8488375
Autor:
Yu, Fei1 (AUTHOR) 222043013@link.cuhk.edu.cn, Zhang, Hongbo2 (AUTHOR) hongboz183@gmail.com, Tiwari, Prayag3 (AUTHOR) prayag.tiwari@hh.se, Wang, Benyou2 (AUTHOR) wabyking@gmail.com
Publikováno v:
ACM Computing Surveys. Dec2024, Vol. 56 Issue 12, p1-39. 39p.