| Remote patient monitoring using artificial intelligence: Current state, applications, and challenges T Shaik, X Tao, N Higgins, L Li, R Gururajan, X Zhou, UR Acharya Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (2 …, 2023 | 260 | 2023 |
| A review of the trends and challenges in adopting natural language processing methods for education feedback analysis T Shaik, X Tao, Y Li, C Dann, J McDonald, P Redmond, L Galligan Ieee Access 10, 56720-56739, 2022 | 179 | 2022 |
| Sentiment analysis and opinion mining on educational data: A survey T Shaik, X Tao, C Dann, H Xie, Y Li, L Galligan Natural Language Processing Journal 2, 100003, 2023 | 128 | 2023 |
| A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom T Shaik, X Tao, L Li, H Xie, JD Velásquez Information Fusion 102, 102040, 2024 | 70 | 2024 |
| Exploring the landscape of machine unlearning: A comprehensive survey and taxonomy T Shaik, X Tao, H Xie, L Li, X Zhu, Q Li IEEE Transactions on Neural Networks and Learning Systems, 2024 | 55* | 2024 |
| FedStack: Personalized activity monitoring using stacked federated learning T Shaik, X Tao, N Higgins, R Gururajan, Y Li, X Zhou, UR Acharya Knowledge-Based Systems 257, 109929, 2022 | 48 | 2022 |
| Remote patient monitoring using radio frequency identification (RFID) technology and machine learning for early detection of suicidal behaviour in mental health facilities X Tao, TB Shaik, N Higgins, R Gururajan, X Zhou Sensors 21 (3), 776, 2021 | 34 | 2021 |
| Designing an artificial intelligence tool to understand student engagement based on teacher's behaviours and movements in video conferencing N Verma, S Getenet, C Dann, T Shaik Computers and Education: Artificial Intelligence 5, 100187, 2023 | 16 | 2023 |
| FRAMU: Attention-based machine unlearning using federated reinforcement learning T Shaik, X Tao, L Li, H Xie, T Cai, X Zhu, Q Li IEEE Transactions on Knowledge and Data Engineering, 2024 | 13 | 2024 |
| AI enabled RPM for mental health facility T Shaik, X Tao, N Higgins, H Xie, R Gururajan, X Zhou Proceedings of the 1st ACM Workshop on Mobile and Wireless Sensing for Smart …, 2022 | 11 | 2022 |
| Characteristics of engaging teaching videos in higher education: a systematic literature review of teachers’ behaviours and movements in video conferencing N Verma, S Getenet, C Dann, T Shaik Research and Practice in Technology Enhanced Learning 18, 2023 | 8 | 2023 |
| Educational decision support system adopting sentiment analysis on student feedback T Shaik, X Tao, C Dann, C Quadrelli, Y Li, S O’Neill 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and …, 2022 | 6 | 2022 |
| Graph-enabled reinforcement learning for time series forecasting with adaptive intelligence T Shaik, X Tao, H Xie, L Li, J Yong, Y Li IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | 5 | 2024 |
| Making sense of student feedback and engagement using artificial intelligence C Dann, P Redmond, M Fanshawe, A Brown, S Getenet, T Shaik, X Tao, ... Australasian Journal of Educational Technology, 2024 | 3 | 2024 |
| Clustered fedstack: Intermediate global models with Bayesian information criterion T Shaik, X Tao, L Li, N Higgins, R Gururajan, X Zhou, J Yong Pattern Recognition Letters 177, 121-127, 2024 | 3 | 2024 |
| AI-driven patient monitoring with multi-agent deep reinforcement learning T Shaik, X Tao, H Xie, L Li, J Yong, HN Dai CoRR, 2023 | 3 | 2023 |
| Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions T Shaik, X Tao, L Li, H Xie, HN Dai, F Zhao, J Yong arXiv preprint arXiv:2309.10980, 2023 | 1 | 2023 |
| QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems T Shaik, X Tao, H Xie, L Li, JD Velasquez, N Higgins arXiv preprint arXiv:2309.10293, 2023 | 1 | 2023 |
| Exploring Incremental Unlearning: Techniques, Challenges, and Future Directions S Qureshi, T Shaik, X Tao, H Xie, L Li, J Yong, X Jia arXiv preprint arXiv:2502.16708, 2025 | | 2025 |
| Advancing Educational Content Classification via Reinforcement Learning-Integrated Bloom’s Taxonomy T Shaik, X Tao, L Li, C Dann, Y Sun, Y Sun 2023 3rd International Conference on Digital Society and Intelligent Systems …, 2023 | | 2023 |
Xiaohui TaoFull Professor, University of Southern Queensland, AustraliaOverená e-mailová adresa na: unisq.edu.au
