no code implementations • 20 Sep 2023 • Thanveer Shaik, Xiaohui Tao, Lin Li, Niall Higgins, Raj Gururajan, Xujuan Zhou, Jianming Yong
In our study, we propose a novel Clustered FedStack framework based on the previously published Stacked Federated Learning (FedStack) framework.
no code implementations • 20 Sep 2023 • Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Hong-Ning Dai, Jianming Yong
Effective patient monitoring is vital for timely interventions and improved healthcare outcomes.
no code implementations • 19 Sep 2023 • Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, U R Acharya, Raj Gururajan, Xujuan Zhou
The PDRL framework is able to learn the future states of the traffic and weather forecasting and the cumulative rewards are gradually increasing over each episode.
no code implementations • 19 Sep 2023 • Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Juan D. Velasquez, Niall Higgins
The deep learning models achieved state-of-the-art results in both prediction and classification tasks.
no code implementations • 19 Sep 2023 • Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li
These issues compromise both the accuracy and the computational efficiency of models in both Machine Learning and Unlearning.
no code implementations • 18 Sep 2023 • Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Jianming Yong, Yuefeng Li
In this study, we propose a novel approach for predicting time-series data using GNN and monitoring with Reinforcement Learning (RL).
no code implementations • 21 Jun 2023 • Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Juan D. Velásquez
The components of the comprehensive survey presented in this paper form the foundation for more successful implementation of multimodal fusion in smart healthcare.
no code implementations • 10 May 2023 • Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Xiaofeng Zhu, Qing Li
Machine unlearning (MU) is gaining increasing attention due to the need to remove or modify predictions made by machine learning (ML) models.
no code implementations • 8 Feb 2023 • Thanveer Shaik, Xiaohui Tao, Christopher Dann, Haoran Xie, Yan Li, Linda Galligan
In the education sector, opinion mining is used to listen to student opinions and enhance their learning-teaching practices pedagogically.
no code implementations • 20 Jan 2023 • Thanveer Shaik, Xiaohui Tao, Niall Higgins, Haoran Xie, Raj Gururajan, Xujuan Zhou
To provide a therapeutic environment for both patients and staff, aggressive or agitated patients need to be monitored remotely and track their vital signs and physical activities continuously.
no code implementations • 20 Jan 2023 • Thanveer Shaik, Xiaohui Tao, Yan Li, Christopher Dann, Jacquie Mcdonald, Petrea Redmond, Linda Galligan
Research community approaches to extract the semantic meaning of emoticons and special characters in feedback which conveys user opinion and challenges in adopting NLP in education are explored.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
no code implementations • 19 Jan 2023 • Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya
The adoption of artificial intelligence (AI) in healthcare is growing rapidly.
no code implementations • 27 Sep 2022 • Thanveer Shaik, Xiaohui Tao, Niall Higgins, Raj Gururajan, Yuefeng Li, Xujuan Zhou, U Rajendra Acharya
The federated learning architecture was applied to these models to build local and global models capable of state of the art performances.