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ORCIDThanveer Shaik
Person information
- affiliation: University of Southern Queensland, School of Mathematics, Physics and Computing, Toowoomba, Australia
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2020 – today
- 2024
[j11]Thanveer Shaik
, Xiaohui Tao, Lin Li, Haoran Xie, Juan D. Velásquez:
A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom. Inf. Fusion 102: 102040 (2024)- [j10]Thanveer Shaik, Xiaohui Tao, Lin Li, Niall Higgins, Raj Gururajan, Xujuan Zhou, Jianming Yong:
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion. Pattern Recognit. Lett. 177: 121-127 (2024) - [j9]Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Jianming Yong, Yuefeng Li:
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2908-2918 (2024) - [j8]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li:
FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36(10): 5153-5167 (2024) - 2023
- [j7]Navdeep Verma, Seyum Tekeher Getenet, Christopher Ewart Dann, Thanveer Shaik:
Designing an artificial intelligence tool to understand student engagement based on teacher's behaviours and movements in video conferencing. Comput. Educ. Artif. Intell. 5: 100187 (2023) - [j6]Thanveer Shaik, Xiaohui Tao, Christopher Dann, Haoran Xie, Yan Li, Linda Galligan:
Sentiment analysis and opinion mining on educational data: A survey. Nat. Lang. Process. J. 2: 100003 (2023) - [j5]Navdeep Verma, Seyum Tekeher Getenet, Christopher Dann, Thanveer Shaik:
Characteristics of engaging teaching videos in higher education: a systematic literature review of teachers' behaviours and movements in video conferencing. Res. Pract. Technol. Enhanc. Learn. 18: 40 (2023) - [j4]Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya:
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. WIREs Data. Mining. Knowl. Discov. 13(2) (2023) - [c4]Thanveer Shaik, Xiaohui Tao, Lin Li, Yuan Sun, Yan Li, Ji Zhang, Christopher Dann:
AutoBloom: AI-Based Classification of Cognitive Levels in Educational Content. WI/IAT 2023: 488-495 - [c3]Venkata Bharath Bandi, Xiaohui Tao, Thanveer Shaik, Jianming Yong, Ji Zhang:
The Impact on Employability by COVID-19 Pandemic - AI Case Studies. WISE 2023: 850-864 - [i13]Thanveer Shaik, Xiaohui Tao, Yan Li, Christopher Dann, Jacquie McDonald, Petrea Redmond, Linda Galligan:
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis. CoRR abs/2301.08826 (2023) - [i12]Thanveer Shaik, Xiaohui Tao, Niall Higgins, Haoran Xie, Raj Gururajan, Xujuan Zhou:
AI enabled RPM for Mental Health Facility. CoRR abs/2301.08828 (2023) - [i11]Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya:
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. CoRR abs/2301.10009 (2023) - [i10]Thanveer Shaik, Xiaohui Tao, Christopher Dann, Haoran Xie, Yan Li, Linda Galligan:
Sentiment analysis and opinion mining on educational data: A survey. CoRR abs/2302.04359 (2023) - [i9]Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Xiaofeng Zhu, Qing Li:
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy. CoRR abs/2305.06360 (2023) - [i8]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Juan D. Velásquez:
Multimodality Fusion for Smart Healthcare: a Journey from Data, Information, Knowledge to Wisdom. CoRR abs/2306.11963 (2023) - [i7]Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Jianming Yong, Yuefeng Li:
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence. CoRR abs/2309.10186 (2023) - [i6]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li:
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning. CoRR abs/2309.10283 (2023) - [i5]Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Juan D. Velásquez, Niall Higgins:
QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems. CoRR abs/2309.10293 (2023) - [i4]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, U. Rajendra Acharya, Raj Gururajan, Xujuan Zhou:
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring. CoRR abs/2309.10576 (2023) - [i3]Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Jianming Yong, Hong-Ning Dai:
AI-Driven Patient Monitoring with Multi-Agent Deep Reinforcement Learning. CoRR abs/2309.10980 (2023) - [i2]Thanveer Shaik, Xiaohui Tao, Lin Li, Niall Higgins, Raj Gururajan, Xujuan Zhou, Jianming Yong:
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion. CoRR abs/2309.11044 (2023) - 2022
- [j3]Thanveer Shaik, Xiaohui Tao, Yan Li, Christopher Dann, Jacquie McDonald, Petrea Redmond, Linda Galligan:
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis. IEEE Access 10: 56720-56739 (2022) - [j2]Thanveer Shaik, Xiaohui Tao, Niall Higgins, Raj Gururajan, Yuefeng Li, Xujuan Zhou, U. Rajendra Acharya:
FedStack: Personalized activity monitoring using stacked federated learning. Knowl. Based Syst. 257: 109929 (2022) - [c2]Thanveer Shaik, Xiaohui Tao, Niall Higgins, Haoran Xie, Raj Gururajan, Xujuan Zhou:
AI enabled RPM for mental health facility. MWSSH@MobiCom 2022: 26-32 - [c1]Thanveer Shaik, Xiaohui Tao, Christopher Dann, Carol Quadrelli, Yan Li, Shirley O'Neill:
Educational Decision Support System Adopting Sentiment Analysis on Student Feedback. WI/IAT 2022: 377-383 - [i1]Thanveer Shaik, Xiaohui Tao, Niall Higgins, Raj Gururajan, Yuefeng Li, Xujuan Zhou, U. Rajendra Acharya:
FedStack: Personalized activity monitoring using stacked federated learning. CoRR abs/2209.13080 (2022) - 2021
- [j1]Xiaohui Tao, Thanveer Basha Shaik, Niall Higgins, Raj Gururajan, Xujuan Zhou:
Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities. Sensors 21(3): 776 (2021)
Coauthor Index
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