Using explainable artificial intelligence as a diagnostic tool&nbsp;

Sheng Ye; Jiyu Li; Yifan Chai; Lin Liu; Murugesu Sivapalan; Qihua Ran

doi:https://doi.org/10.5194/egusphere-egu25-2661

[Back] [Session HS3.3]

EGU25-2661, updated on 14 Mar 2025

https://doi.org/10.5194/egusphere-egu25-2661

EGU General Assembly 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Using explainable artificial intelligence as a diagnostic tool

Sheng Ye¹, Jiyu Li

¹, Yifan Chai¹, Lin Liu², Murugesu Sivapalan

³, and Qihua Ran²

Sheng Ye et al.

¹Zhejiang University, Hangzhou, China (yesheng@zju.edu.cn)
²Hohai University, Nanjing, China
³University of Illinois at Urbana‐Champaign, Urbana, USA

How to cite: Ye, S., Li, J., Chai, Y., Liu, L., Sivapalan, M., and Ran, Q.: Using explainable artificial intelligence as a diagnostic tool , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-2661, https://doi.org/10.5194/egusphere-egu25-2661, 2025.

This abstract has been withdrawn on 25 Jul 2025.