Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations.
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| Title: | Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations. |
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| Authors: | Daif, Noureddine1 (AUTHOR) n.daif@univ-skikda.dz, Di Nunno, Fabio2 (AUTHOR) fabio.dinunno@unicas.it, Granata, Francesco2 (AUTHOR) f.granata@unicas.it, Difi, Salah3 (AUTHOR) difisalah41@gmail.com, Kisi, Ozgur4,5,6 (AUTHOR) ozgur.kisi@th-luebeck.de, Heddam, Salim7 (AUTHOR) heddamsalim@yahoo.fr, Kim, Sungwon8 (AUTHOR) swkim1968@dyu.ac.kr, Adnan, Rana Muhammad9,10 (AUTHOR) rana@gzhu.edu.cn, Zounemat-Kermani, Mohammad11 (AUTHOR) mohammad.zounemat@gmail.com |
| Source: | Stochastic Environmental Research & Risk Assessment. Jun2025, Vol. 39 Issue 6, p2551-2581. 31p. |
| Database: | Environment Complete |
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| ISSN: | 14363240 |
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| DOI: | 10.1007/s00477-025-02984-4 |
