most citedExploring a Gradient-based Explainable AI Technique for Time-Series Data: A Case Study of Assessing Stroke Rehabilitation Exercises

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 2 cited

Exploring a Gradient-based Explainable AI Technique for Time-Series Data: A Case Study of Assessing Stroke Rehabilitation Exercises

Min Hun Lee, Yi Jing Choy

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 va…