APA (7th ed.) Citation

Yang, Y., Yuan, Y., Han, Z., & Liu, G. (2022). Interpretability analysis for thermal sensation machine learning models: An exploration based on the SHAP approach. Indoor air, 32(2), e12984-n/a. https://doi.org/10.1111/ina.12984

Chicago Style (17th ed.) Citation

Yang, Yuren, Ye Yuan, Zhen Han, and Gang Liu. "Interpretability Analysis for Thermal Sensation Machine Learning Models: An Exploration Based on the SHAP Approach." Indoor Air 32, no. 2 (2022): e12984-n/a. https://doi.org/10.1111/ina.12984.

MLA (9th ed.) Citation

Yang, Yuren, et al. "Interpretability Analysis for Thermal Sensation Machine Learning Models: An Exploration Based on the SHAP Approach." Indoor Air, vol. 32, no. 2, 2022, pp. e12984-n/a, https://doi.org/10.1111/ina.12984.