Interpretable Machine Learning for the German residential rental market – shedding light into model mechanics by Severin Bachmann

Subjects: “…interpretable machine learning…”
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Using interpretable survival analysis to assess hospital length of stay by Yan Li, Trevor Hall, Fahad Razak, Amol Verma, Mark Chignell, Lu Wang

Subjects: “…Interpretable machine learning…”
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Interpretable model based on MRI radiomics to predict the expression of Ki-67 in breast cancer by Li Zhang, Qinglin Du, Mengyi Shen, Xin He, Dingyi Zhang, Xiaohua Huang

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Predicting Neoplastic Polyp in Patients With Gallbladder Polyps Using Interpretable Machine Learning Models: Retrospective Cohort Study by Zhaobin He, Shengbiao Yang, Jianqiang Cao, Huijie Gao, Cheng Peng

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An Interpretable Machine Learning Procedure Which Unravels Hidden Interplanetary Drivers of the Low Latitude Dayside Magnetopause by Sheng Li, Yang‐Yi Sun, Chieh‐Hung Chen

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Interpretable correlator Transformer for image-like quantum matter data by Abhinav Suresh, Henning Schlömer, Baran Hashemi, Annabelle Bohrdt

Subjects: “…interpretable machine learning…”
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Interpretable AI for Short-Term Water Demand Forecasting by Aly-Joy Ulusoy, Carlos Jara-Arriagada, Yuanyang Liu, Bradley Jenks, Ivan Stoianov

Subjects: “…interpretable machine learning…”
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Modeling Bottom Dissolved Oxygen on the East China Sea Shelf Using Interpretable Machine Learning by Chengqing Zhang, Qicheng Meng, Xiao Ma, Anqi Liu, Feng Zhou

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Development of the Optuna-NGBoost-SHAP model for estimating ground settlement during tunnel excavation by Yuxin Chen, Mohammad Hossein Kadkhodaei, Jian Zhou

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A multi-objective, multi-interpretable machine learning demonstration verified by domain knowledge for ductile thermoelectric materials by Xiangdong Wang, Yan Cao, Jialin Ji, Ye Sheng, Jiong Yang, Xuezhi Ke

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Assessment of Large‐Scale Reservoirs' Impact on the Local Precipitation by Han Zhou, Jun Qiu, Mengjia Li, Houliang Lu, Fangfang Li

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Developing machine learning models for predicting cardiovascular disease survival based on heavy metal serum and urine levels by Hui Jin, Ling Zhang, Yan Sun, Ya Xu, Man Luo

Subjects: “…interpretable machine learning…”
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Uncovering the epigenetic regulatory clues of PRRT1 in Alzheimer’s disease: a strategy integrating multi-omics analysis with explainable machine learning by Fang Wang, Ying Liang, Qin-Wen Wang

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Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning by Wei (Wayne) Chen, Rachel Sun, Doksoo Lee, Carlos M. Portela, Wei Chen

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Uncovering Key Factors of Student Performance in Math: An Explainable Deep Learning Approach Using TIMSS 2019 Data by Abdelamine Elouafi, Ilyas Tammouch, Souad Eddarouich, Raja Touahni

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Mapping and understanding the regional farmland SOC distribution in southern China using a Bayesian spatial model by Bifeng Hu, Yibo Geng, Hanjie Ni, Zhou Shi, Zheng Wang, Nan Wang, Jipeng Luo, Modian Xie, Qian Zou, Thomas Optiz, Hongyi Li

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Comparison of the in-hospital mortality risk predictive models among patients with ischemic stroke combined by dysphagia based on interpretable machine learning by TAI Yaoyong, WU Shengyong, LUO Xiao, ZHU Ronghui, HE Qian, WU Cheng

Subjects: “…interpretable machine learning…”
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Causal-inference machine learning reveals the drivers of China's 2022 ozone rebound by Lin Wang, Baihua Chen, Jingyi Ouyang, Yanshu Mu, Ling Zhen, Lin Yang, Wei Xu, Lina Tang

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Machine Learning Method Application to Detect Predisposing Factors to Open-Pit Landslides: The Sijiaying Iron Mine Case Study by Jiang Li, Zhuoying Tan, Naigen Tan, Aboubakar Siddique, Jianshu Liu, Fenglin Wang, Wantao Li

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Understanding the Impact of Street Environments on Traffic Crash Risk from the Perspective of Aging People: An Interpretable Machine Learning Approach by Ketong Shen, Jian Liu, Xintao Liu

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