498 citations · 1.1k across the 15 of their papers we have counts for
12 papers · 1 filter
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion
Thanveer Shaik, Xiaohui Tao, Lin Li +4
Federated Learning (FL) is currently one of the most popular technologies in the field of Artificial Intelligence (AI) due to its collaborative learning and ability to preserve cli…
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring
Thanveer Shaik, Xiaohui Tao, Lin Li +4
Reinforcement learning has been increasingly applied in monitoring applications because of its ability to learn from previous experiences and can make adaptive decisions. However,…
Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions
Thanveer Shaik, Xiaohui Tao, Lin Li +4
Effective patient monitoring is vital for timely interventions and improved healthcare outcomes. Traditional monitoring systems often struggle to handle complex, dynamic environmen…
QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems
Thanveer Shaik, Xiaohui Tao, Haoran Xie +3
Artificial Intelligence techniques can be used to classify a patient's physical activities and predict vital signs for remote patient monitoring. Regression analysis based on non-l…
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning
Thanveer Shaik, Xiaohui Tao, Lin Li +4
Machine Unlearning is an emerging field that addresses data privacy issues by enabling the removal of private or irrelevant data from the Machine Learning process. Challenges relat…
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence
Thanveer Shaik, Xiaohui Tao, Haoran Xie +3
Reinforcement learning is well known for its ability to model sequential tasks and learn latent data patterns adaptively. Deep learning models have been widely explored and adopted…
A Survey of Multimodal Information Fusion for Smart Healthcare: Mapping the Journey from Data to Wisdom
Thanveer Shaik, Xiaohui Tao, Lin Li +2
Multimodal medical data fusion has emerged as a transformative approach in smart healthcare, enabling a comprehensive understanding of patient health and personalized treatment pla…
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
Thanveer Shaik, Xiaohui Tao, Haoran Xie +3
Machine unlearning (MU) is gaining increasing attention due to the need to remove or modify predictions made by machine learning (ML) models. While training models have become more…
Sentiment analysis and opinion mining on educational data: A survey
Thanveer Shaik, Xiaohui Tao, Christopher Dann +3
Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to identify human intentions from their reviews. In the education sector, opinion mining is us…
AI enabled RPM for Mental Health Facility
Thanveer Shaik, Xiaohui Tao, Niall Higgins +3
Mental healthcare is one of the prominent parts of the healthcare industry with alarming concerns related to patients depression, stress leading to self-harm and threat to fellow p…
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
Thanveer Shaik, Xiaohui Tao, Yan Li +4
Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many business and research domains. Machine learning, deep learning, and natural langua…
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Thanveer Shaik, Xiaohui Tao, Niall Higgins +4
The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient monitoring (RPM) is one of the common healthcare applications that assist doctors to m…