Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models von Kim, Yesuel, Kim, Youngchul

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Deep Learning-Based analytic framework using comprehensive urbanization index for heat vulnerability assessment in urban areas von Kim, Yesuel, Kim, Youngchul

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Global regionalization of heat environment quality perception based on K-means clustering and Google trends data von Kim, Yesuel, Kim, Youngchul

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An analytical framework for assessing heat vulnerability in urban thermal environmental planning von Kim, Yesuel, Kim, Youngchul

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Estimating urban spatial temperatures considering anthropogenic heat release factors focusing on the mobility characteristics von Kim, Yesuel, Yeo, Hwasoo, Kim, Youngchul

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Revisiting the nature and strength of the personality-job performance relations: New insights from interpretable machine learning von Song, Q Chelsea, Oh, In-Sue, Kim, Yesuel, So, Chaehan

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Reducing subgroup differences in personnel selection through the application of machine learning von Zhang, Nan, Wang, Mo, Xu, Heng, Koenig, Nick, Hickman, Louis, Kuruzovich, Jason, Ng, Vincent, Arhin, Kofi, Wilson, Danielle, Song, Q. Chelsea, Tang, Chen, Alexander, Leo, Kim, Yesuel

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A Hybrid Approach of Using Both Simulation plus Neural Networks for Window Design Optimization and HVAC Energy Consumption Prediction Modeling von Kim, Yesuel, Chang, Seongju

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Data-Sharing Approaches for Achieving Resilient Smart Cities: A Case of Smart City R&D Project in Daegu, South Korea von Kim, Yesuel, Lee, Sunghee, Sharifi, Ayyoob, Kim, Youngchul

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Synergistic shape selectivity of H-Beta and H-ZSM-5 for Xylene-rich BTX production by hydrocracking of heavy-aromatic compounds von Oh, Jinho, Choi, Yesuel, Shin, Jaeuk, Kim, Kyutae, Lee, Jung Kyoo

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