no code implementations • SemEval (NAACL) 2022 • Abdul Aziz, MD. Akram Hossain, Abu Nowshed Chy
Recognizing complex and ambiguous named entities (NEs) is one of the formidable tasks in the NLP domain.
no code implementations • SemEval (NAACL) 2022 • Abdul Aziz, MD. Akram Hossain, Abu Nowshed Chy
We employed two fine-tuned multilingual transformer models including XLM-RoBERTa and mBERT to train our model.
no code implementations • 1 Jan 2024 • Abdul Aziz, Nhat Pham, Neel Vora, Cody Reynolds, Jaime Lehnen, Pooja Venkatesh, Zhuoran Yao, Jay Harvey, Tam Vu, Kan Ding, Phuc Nguyen
Epilepsy is one of the most common neurological diseases globally, affecting around 50 million people worldwide.
no code implementations • 19 Dec 2023 • Neel R Vora, Amir Hajighasemi, Cody T. Reynolds, Amirmohammad Radmehr, Mohamed Mohamed, Jillur Rahman Saurav, Abdul Aziz, Jai Prakash Veerla, Mohammad S Nasr, Hayden Lotspeich, Partha Sai Guttikonda, Thuong Pham, Aarti Darji, Parisa Boodaghi Malidarreh, Helen H Shang, Jay Harvey, Kan Ding, Phuc Nguyen, Jacob M Luber
Head-based signals such as EEG, EMG, EOG, and ECG collected by wearable systems will play a pivotal role in clinical diagnosis, monitoring, and treatment of important brain disorder diseases.
no code implementations • 22 Oct 2023 • Abdul Aziz, Nihad Karim Chowdhury, Muhammad Ashad Kabir, Abu Nowshed Chy, Md. Jawad Siddique
In this research, we have proposed a unified multimodal transformer-based framework with image-text pair settings to identify human desire, sentiment, and emotion.
1 code implementation • Expert Systems with Applications 2023 • Awal Ahmed Fime, Md. Ashikuzzaman, Abdul Aziz
Android device users can use this application without any cost, which will pave the way to ensure the safety of women and children.
no code implementations • 16 Feb 2022 • Honglong Chen, Zhe Li, Zhu Wang, Zhichen Ni, Junjian Li, Ge Xu, Abdul Aziz, Feng Xia
As an effective way to alleviate information overload, recommender system can improve the quality of various services by adding application data generated by users on edge devices, such as visual and textual information, on the basis of sparse rating data.
no code implementations • SEMEVAL 2021 • Abdul Aziz, MD. Akram Hossain, Abu Nowshed Chy
Lexical complexity prediction (LCP) conveys the anticipation of the complexity level of a token or a set of tokens in a sentence.
no code implementations • 3 May 2021 • Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu
In this survey, we present a comprehensive overview on the state-of-the-art of graph learning.