Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand

Author:

Chen Bowen1ORCID,Dobbie Gillian1ORCID,Rampal Neelesh2ORCID,Koh Yun Sing1ORCID

Affiliation:

1. The University of Auckland, Auckland, New Zealand

2. National Institute of Water and Atmospheric Research, Auckland, New Zealand

Publisher

ACM

Reference58 articles.

1. A review of the global climate change impacts, adaptation, and sustainable mitigation measures

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3. Rakesh Agrawal, Ramakrishnan Srikant, et al. 1994. Fast algorithms for mining association rules. In Proceedings of the 20th International Conference on Very Large Data Bases, Vol. 1215. Santiago, Chile, 487--499.

4. Abdallah Alabdallah, Sepideh Pashami, Thorsteinn Rögnvaldsson, and Mattias Ohlsson. 2022. SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP. In 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 1--10.

5. Learning from Time-Changing Data with Adaptive Windowing

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