Interpretability analysis for thermal sensation machine learning models: An exploration based on the SHAP approach

Research article (Indoor Air, 2022) · cited 102× · AI/ML
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Interpretability analysis for thermal sensation machine learning models: An exploration based on the SHAP approach

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Interpretability analysis for thermal sensation machine learning models: An exploration based on the SHAP approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Interpretability analysis for thermal sensation machine learning models: An exploration based on the SHAP approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretability-analysis-for-thermal-sensation-machine-learning-models-an-exploration-based-on-the-shap-approach
MLA “Interpretability analysis for thermal sensation machine learning models: An exploration based on the SHAP approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretability-analysis-for-thermal-sensation-machine-learning-models-an-exploration-based-on-the-shap-approach.
BibTeX @misc{4ortxyz_interpretability-analysis-for-thermal-sensation-machine-learning-models-an-exploration-based-on-the-shap-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretability analysis for thermal sensation machine learning models: An exploration based on the SHAP approach}}, year = {2026}, url = {https://4ort.xyz/entity/interpretability-analysis-for-thermal-sensation-machine-learning-models-an-exploration-based-on-the-shap-approach}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretability analysis for thermal sensation machine learning models: An exploration based on the SHAP approach — https://4ort.xyz/entity/interpretability-analysis-for-thermal-sensation-machine-learning-models-an-exploration-based-on-the-shap-approach (retrieved 2026-05-24)

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