38 citations as recorded by crossref.

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6. Using explainable machine learning methods to evaluate vulnerability and restoration potential of ecosystem state transitions J. Delaney & D. Larson 10.1111/cobi.14203
7. WBGT prediction with high spatial resolution using actual measurement data and data acquired using infrared sensors mounted on UAVs H. Niwa & R. Manabe 10.1016/j.scs.2024.105470
8. Explanations of Machine Learning Models in Repeated Nested Cross-Validation: An Application in Age Prediction Using Brain Complexity Features R. Scheda & S. Diciotti 10.3390/app12136681
9. Assessing multi-year-drought vulnerability in dense Mediterranean-climate forests using water-balance-based indicators G. Cui et al. 10.1016/j.jhydrol.2022.127431
10. Using an Explainable Machine Learning Approach to Characterize Earth System Model Errors: Application of SHAP Analysis to Modeling Lightning Flash Occurrence S. Silva et al. 10.1029/2021MS002881
11. Prediction and optimization of regional land-use patterns considering nonpoint-source pollution control under conditions of uncertainty Q. Rong et al. 10.1016/j.jenvman.2022.114432
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18. Improving interpretation of sea-level projections through a machine-learning-based local explanation approach J. Rohmer et al. 10.5194/tc-16-4637-2022
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21. A machine learning approach to map the potential agroecological complexity in an indigenous community of Colombia C. Ojeda Riaños et al. 10.1016/j.jenvman.2024.122655
22. Research and application of XGBoost in imbalanced data P. Zhang et al. 10.1177/15501329221106935
23. Modeling the Subpixel Land-Use Dynamics and Its Influence on Urban Heat Islands: Impacts of Factors and Scale, and Population Exposure Risk X. Liang et al. 10.1016/j.scs.2024.105417
24. Characteristics and Drivers of Vegetation Change in Xinjiang, 2000–2020 G. Li et al. 10.3390/f15020231
25. Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means A. Soubeiga et al. 10.1016/j.eswa.2024.125369
26. An artificial intelligence-based assessment of soil erosion probability indices and contributing factors in the Abha-Khamis watershed, Saudi Arabia S. Alqadhi et al. 10.3389/fevo.2023.1189184
27. Surgery duration: Optimized prediction and causality analysis O. Babayoff et al. 10.1371/journal.pone.0273831
28. Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers G. Zhang et al. 10.1186/s40001-024-01756-0
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30. Hybrid Intelligent Model for Estimating the Cost of Huizhou Replica Traditional Vernacular Dwellings J. Huang et al. 10.3390/buildings14092623
31. Peripheral blood mononuclear cell derived biomarker detection using eXplainable Artificial Intelligence (XAI) provides better diagnosis of breast cancer S. Kumar & A. Das 10.1016/j.compbiolchem.2023.107867
32. How does the ambient environment respond to the industrial heat island effects? An innovative and comprehensive methodological paradigm for quantifying the varied cooling effects of different landscapes J. Gao et al. 10.1080/15481603.2022.2127463
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35. Modelling of fatty acids signatures predicts macroalgal carbon in marine sediments . Erlania et al. 10.1016/j.ecolind.2024.111715
36. Exploring the Spatiotemporal Alterations in China’s GPP Based on the DTEC Model J. Peng et al. 10.3390/rs16081361
37. Predicting the Ecological Quality of Rivers: A Machine Learning Approach and a What-if Scenarios Tool D. Politikos et al. 10.1007/s10666-024-09980-y
38. Integration of shapley additive explanations with random forest model for quantitative precipitation estimation of mesoscale convective systems Z. He et al. 10.3389/fenvs.2022.1057081