A Machine Learning Explainability Tutorial for Atmospheric SciencesSource: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001DOI: 10.1175/AIES-D-23-0018.1Publisher: American Meteorological Society
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| contributor author | Flora, Montgomery L. | |
| contributor author | Potvin, Corey K. | |
| contributor author | McGovern, Amy | |
| contributor author | Handler, Shawn | |
| date accessioned | 2024-12-24T15:19:03Z | |
| date available | 2024-12-24T15:19:03Z | |
| date copyright | 01 Jan. 2024 | |
| date issued | 2024 | |
| identifier other | aies-AIES-D-23-0018.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4302159 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | A Machine Learning Explainability Tutorial for Atmospheric Sciences | |
| type | Journal Paper | |
| journal volume | 3 | |
| journal issue | 1 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-23-0018.1 | |
| journal lastpage | e230018 | |
| tree | Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001 | |
| contenttype | Fulltext |