Finding the Right XAI Method—A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate ScienceSource: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003Author:Bommer, Philine Lou
,
Kretschmer, Marlene
,
Hedström, Anna
,
Bareeva, Dilyara
,
Höhne, Marina M.-C.
DOI: 10.1175/AIES-D-23-0074.1Publisher: American Meteorological Society
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contributor author | Bommer, Philine Lou | |
contributor author | Kretschmer, Marlene | |
contributor author | Hedström, Anna | |
contributor author | Bareeva, Dilyara | |
contributor author | Höhne, Marina M.-C. | |
date accessioned | 2024-12-24T13:49:38Z | |
date available | 2024-12-24T13:49:38Z | |
date copyright | 01 Jul. 2024 | |
date issued | 2024 | |
identifier other | aies-AIES-D-23-0074.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299679 | |
language | English | |
publisher | American Meteorological Society | |
title | Finding the Right XAI Method—A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science | |
type | Journal Paper | |
journal volume | 3 | |
journal issue | 3 | |
journal title | Artificial Intelligence for the Earth Systems | |
identifier doi | 10.1175/AIES-D-23-0074.1 | |
journal lastpage | e230074 | |
tree | Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003 | |
contenttype | Fulltext |