Thanveer Basha Shaik

Publication Activity (10 Years)

Years Active: 2023-2023
Publications (10 Years): 8

Top Topics

Patient Monitoring

Bayesian Information Criterion

Hierarchically Organized

Quantitative Analysis

Top Venues

Publications

Thanveer Basha Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Jianming Yong, Yuefeng Li
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence. CoRR (2023)
Thanveer Basha Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Jianming Yong, Hong-Ning Dai
AI-Driven Patient Monitoring with Multi-Agent Deep Reinforcement Learning. CoRR (2023)
Thanveer Basha Shaik, Xiaohui Tao, Lin Li, Haoran Xie, U. Rajendra Acharya, Raj Gururajan, Xujuan Zhou
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring. CoRR (2023)
Thanveer Basha Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Juan D. Velásquez, Niall Higgins
QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems. CoRR (2023)
Thanveer Basha Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning. CoRR (2023)
Thanveer Basha Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Xiaofeng Zhu, Qing Li
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy. CoRR (2023)
Thanveer Basha Shaik, Xiaohui Tao, Lin Li, Niall Higgins, Raj Gururajan, Xujuan Zhou, Jianming Yong
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion. CoRR (2023)
Thanveer Basha 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)