Exploring a gradient-based explainable AI technique for time-series data: A case study of assessing stroke rehabilitation exercises

• المؤلفون الرئيسيون: LEE, Min Hun, CHOY, Yi Jing
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2023
• الموضوعات: Time-Series Data; Explainable AI; Stroke Rehabilitation Exercises; Artificial Intelligence and Robotics; Health Information Technology; Numerical Analysis and Scientific Computing
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/8580; https://ink.library.smu.edu.sg/context/sis_research/article/9583/viewcontent/Gradient_based_AI_Rehab_av_cc_nc_nd.pdf

Explainable artificial intelligence (AI) techniques are increasingly being explored to provide insights into why AI and machine learning (ML) models provide a certain outcome in various applications. However, there has been limited exploration of explainable AI techniques on time-series data, especi...