Interpretable Combinatorial Machine Learning-Based Shale Fracability Evaluation Methods by Di Wang, Dingyu Jiao, Zihang Zhang, Runze Zhou, Weize Guo, Huai Su

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Interpretable machine learning for predicting sepsis risk in emergency triage patients by Zheng Liu, Wenqi Shu, Teng Li, Xuan Zhang, Wei Chong

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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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A Novel Approach for Model Interpretability and Domain Aware Fine-Tuning in AdaBoost by Raj Joseph Kiran, J. Sanil, S. Asharaf

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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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CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space by Christina Humer, Rachel Nicholls, Henry Heberle, Moritz Heckmann, Michael Pühringer, Thomas Wolf, Maximilian Lübbesmeyer, Julian Heinrich, Julius Hillenbrand, Giulio Volpin, Marc Streit

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Prediction of Distant Metastasis of Renal Cell Carcinoma Based on Interpretable Machine Learning: A Multicenter Retrospective Study by Dong J, Duan M, Liu X, Li H, Zhang Y, Zhang T, Fu C, Yu J, Hu W, Peng S

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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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Interpretable Classifier Models for Decision Support Using High Utility Gain Patterns by Srikumar Krishnamoorthy

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Early identification of dropouts during the special forces selection program by Ruud J. R. den Hartigh, Rik Huijzer, Frank J. Blaauw, Age de Wit, Peter de Jonge

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Interpretable machine learning for stability and electronic structure prediction of Janus III–VI van der Waals heterostructures by Yudong Shi, Yinggan Zhang, Jiansen Wen, Zhou Cui, Jianhui Chen, Xiaochun Huang, Cuilian Wen, Baisheng Sa, Zhimei Sun

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How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences by Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li, Markus Reichstein, Joachim Denzler, Wei Shangguan, Guo Yu, Feini Huang, Jakob Zscheischler

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Monitoring Soil Salinity in Arid Areas of Northern Xinjiang Using Multi-Source Satellite Data: A Trusted Deep Learning Framework by Mengli Zhang, Xianglong Fan, Pan Gao, Li Guo, Xuanrong Huang, Xiuwen Gao, Jinpeng Pang, Fei Tan

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SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models by Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov, Vladimir A. Muliukha

Subjects: “…Interpretable model…”
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A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME by Ahmed M. Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E. Petersen, Karim Lekadir, Gloria Menegaz

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A novel agricultural drought index based on multi-source remote sensing data and interpretable machine learning by Hao Chen, Ni Yang, Xuanhua Song, Chunhua Lu, Menglan Lu, Tan Chen, Shulin Deng

Subjects: “…Interpretable machine learning drought index (IMLDI)…”
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Interpretable Deep Learning for Pneumonia Detection Using Chest X-Ray Images by Jovito Colin, Nico Surantha

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Interpretable DWT-1DCNN-LSTM Network for Power Quality Disturbance Classification by Shuangquan Yang, Tao Shan, Xiaomei Yang

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The Essence and Approaches to the Interpretation of Law in the Works of Domestic Scholars by V. K. Antoshkina

Subjects: “…legal interpretation…”
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A Critique on the Book Sufi Interpretations of the Qur'an by Mohammadreza Movahedi

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