no code implementations • ALTA 2020 • Yuting Guo, Xiangjue Dong, Mohammed Ali Al-Garadi, Abeed Sarker, Cecile Paris, Diego Mollá Aliod
We compare three pre-trained language models, RoBERTa-base, BERTweet and ClinicalBioBERT in terms of classification accuracy.
no code implementations • NAACL (SMM4H) 2021 • Arjun Magge, Ari Klein, Antonio Miranda-Escalada, Mohammed Ali Al-Garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulalia Farre, Salvador Lima López, Ivan Flores, Karen O’Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan Banda, Martin Krallinger, Graciela Gonzalez-Hernandez
The global growth of social media usage over the past decade has opened research avenues for mining health related information that can ultimately be used to improve public health.
no code implementations • NAACL (SMM4H) 2021 • Yuting Guo, Yao Ge, Mohammed Ali Al-Garadi, Abeed Sarker
This paper describes our approach for six classification tasks (Tasks 1a, 3a, 3b, 4 and 5) and one span detection task (Task 1b) from the Social Media Mining for Health (SMM4H) 2021 shared tasks.
no code implementations • EMNLP (WNUT) 2020 • Yuting Guo, Mohammed Ali Al-Garadi, Abeed Sarker
This paper describes the system developed by the Emory team for the WNUT-2020 Task 2: “Identifi- cation of Informative COVID-19 English Tweet”.
no code implementations • 27 Mar 2024 • Yuting Guo, Anthony Ovadje, Mohammed Ali Al-Garadi, Abeed Sarker
We developed three approaches for leveraging LLMs for text classification: employing LLMs as zero-shot classifiers, us-ing LLMs as annotators to annotate training data for supervised classifiers, and utilizing LLMs with few-shot examples for augmentation of manually annotated data.
no code implementations • 14 Mar 2024 • Ayoub Si-Ahmed, Mohammed Ali Al-Garadi, Narhimene Boustia
The Internet of Medical Things (IoMT) transcends traditional medical boundaries, enabling a transition from reactive treatment to proactive prevention.
no code implementations • 18 Apr 2023 • Khushbu Khatri Park, Abdulaziz Ahmed, Mohammed Ali Al-Garadi
Publications were excluded if they were narrative or did not exclusively focus on a minority population from the respective country.
no code implementations • 2 Mar 2023 • Li Wang, Ying Wah Teh, Mohammed Ali Al-Garadi
This study adopts the proposed method and the evaluation metric to the legal domain.
Extreme Multi-Label Classification Multi Label Text Classification +3
no code implementations • 21 Apr 2022 • Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
We aimed to conduct a systematic review to explore the state of FSL methods for medical NLP.
no code implementations • 19 Feb 2022 • Ayoub Si-Ahmed, Mohammed Ali Al-Garadi, Narhimene Boustia
In this context, using Intrusion Detection Systems (IDS) based on Machine Learning (ML) can bring a complementary security solution adapted to the unique characteristics of IoMT systems.
no code implementations • 23 Oct 2018 • Reza Shakeri, Mohammed Ali Al-Garadi, Ahmed Badawy, Amr Mohamed, Tamer Khattab, Abdulla Al-Ali, Khaled A. Harras, Mohsen Guizani
We present and propose state-of-the-art algorithms to address design challenges with both quantitative and qualitative methods and map these challenges with important CPS applications to draw insightful conclusions on the challenges of each application.
no code implementations • 29 Jul 2018 • Mohammed Ali Al-Garadi, Amr Mohamed, Abdulla Al-Ali, Xiaojiang Du, Mohsen Guizani
Consequently, ML/DL methods are important in transforming the security of IoT systems from merely facilitating secure communication between devices to security-based intelligence systems.