Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Fatemah Husain"'
Publikováno v:
IEEE Access, Vol 12, Pp 27709-27722 (2024)
The available dialectal Arabic linguistic resources are very limited in their coverage of Arabic dialects, particularly the Kuwaiti dialect. This shortage of linguistic resources creates struggles for researchers in the Natural Language Processing (N
Externí odkaz:
https://doaj.org/article/f1381057a6a84870853d8fe93592df9d
Autor:
Athary Saleem, Fatemah Husain, Reem Boushehry, Mohammed Alshamali, Emad Fahim, Khaleel Mohammad
Publikováno v:
The Surgery Journal, Vol 09, Iss 01, Pp e18-e22 (2023)
Background Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal neoplasms of the alimentary tract. They are usually manifested by GI bleeding. Case Presentation A 53-year-old male patient was admitted to the hospital for elective i
Externí odkaz:
https://doaj.org/article/ca5224ec87be41b28bbb4192d8c3bbd1
Autor:
Jasem Youssef Al-Hashel, Ismail Ibrahim Ismail, Mohamed Ibrahim, John K. John, Fatemah Husain, Walaa Ahmed Kamel, Raed Behbehani, Samar Farouk Ahmed
Publikováno v:
Frontiers in Neurology, Vol 11 (2020)
Background: Idiopathic intracranial hypertension (IIH) affects predominantly obese females during their reproductive age period. The demographics of this condition has not been studied in Kuwait before.Objectives: To determine the demographics, clini
Externí odkaz:
https://doaj.org/article/18de0e0eb8bb44c288cd5e763a6b7c81
Autor:
Fatemah Husain, Ozlem Uzuner
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 21:1-20
Preprocessing of input text can play a key role in text classification by reducing dimensionality and removing unnecessary content. This study aims to investigate the impact of preprocessing on Arabic offensive language classification. We explore six
Autor:
Fatemah Husain, Ozlem Uzuner
Publikováno v:
2022 International Conference on Asian Language Processing (IALP).
Autor:
Fatemah Husain, Özlem Uzuner
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 20:1-44
The use of offensive language in user-generated content is a serious problem that needs to be addressed with the latest technology. The field of Natural Language Processing (NLP) can support the automatic detection of offensive language. In this surv
Autor:
Reem Boushehry, Fatemah Husain, Athary Saleem, Mohammed Alshamali, Fahad Alhammadi, Khaleel Mohammad
Publikováno v:
International journal of surgery case reports. 96
Congenital absence of the cystic duct is one of the rare types of anomalies associated with the extrahepatic biliary tract (EHBT). It is often an incidental finding intraoperatively leading to significant implications during the perioperative period.
Publikováno v:
SemEval@COLING
This paper describes SalamNET, an Arabic offensive language detection system that has been submitted to SemEval 2020 shared task 12: Multilingual Offensive Language Identification in Social Media. Our approach focuses on applying multiple deep learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::080cbcb013cdd3f480c53aa778012355
Autor:
Fatemah Husain, Abrar Alanzi
Publikováno v:
International Journal of Clinical Pediatric Dentistry
Aim The objective of this study was to investigate the association between the caries experience and oral-health-related behavior of Kuwaiti preschool children and their mothers. Materials and methods A convenience sample of 84 participants (42 child