Prediction of Thermal and Optical Properties of Oxyfluoride Glasses Based on Interpretable Machine Learning by Yuhao Xie, Xiangfu Wang

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Multiple Regression with Transformations and Variable Selection at the Industrial Scale by Gus Greivel, Soutir Bandyopadhyay, Alexandra M. Newman, Brian G. Thomas

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Interpretable machine learning model for early prediction of disseminated intravascular coagulation in critically ill children by Jintuo Zhou, Yongjin Xie, Ying Liu, Peiguang Niu, Huajiao Chen, Xiaoping Zeng, Jinhua Zhang

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Explaining the Mechanism of Multiscale Groundwater Drought Events: A New Perspective From Interpretable Deep Learning Model by Hejiang Cai, Haiyun Shi, Zhaoqiang Zhou, Suning Liu, Vladan Babovic

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Tunnel water inflow prediction using explainable machine learning and augmented partially missing dataset by Shengdong Ju, Guangzhao Ou, Tao Peng, Yanning Wang, Quanlin Song, Peng Guan

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Cutting-edge approaches to specific energy prediction in TBM disc cutters: Integrating COSSA-RF model with three interpretative techniques by Jian Zhou, Zijian Liu, Chuanqi Li, Kun Du, Haiqing Yang

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A Study on the Susceptibility of Wildfire Disasters in Wuzhou City Based on Interpretability Model by Lei Zou, Hongjuan Shao, Yintao Liu, Chao Ren, Qinyi Chen, Haoming Bai, Zhengzhong Huang, Yao Gu

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MolAnchor method for explaining compound predictions based on substructures by Alec Lamens, Jürgen Bajorath

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Constructing a fall risk prediction model for hospitalized patients using machine learning by Cheng-Wei Kang, Zhao-Kui Yan, Jia-Liang Tian, Xiao-Bing Pu, Li-Xue Wu

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Ensemble Learning for Spatial Modeling of Icing Fields from Multi-Source Remote Sensing Data by Shaohui Zhou, Zhiqiu Gao, Bo Gong, Hourong Zhang, Haipeng Zhang, Jinqiang He, Xingya Xi

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Using preprocessed datasets to construct and interpret multiclass identification models by Cong Wang, Yufeng Fu, Ran Wan, Le Zhao, Hongbo Wang, Junwei Guo, Qiang Liu, Shan Li, Shengtao Ma, Zhicai Wang, Wei Huang, Huimin Liu, Song Yang, Cong Nie

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Enhancing Kidney Disease Diagnosis Using ACO-Based Feature Selection and Explainable AI Techniques by Abbas Jafar, Myungho Lee

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Application of neural architecture search in lithology identification by Yuhao Zhang, Hanmin Xiao, Meng Du, Qingjie Liu, Jingwei Tao, Yongcheng Luo, Li Peng, Jianbo Tan

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xBitterT5: an explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptides by Nguyen Doan Hieu Nguyen, Nhat Truong Pham, Duong Thanh Tran, Leyi Wei, Adeel Malik, Balachandran Manavalan

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Construction and interpretation of tobacco leaf position discrimination model based on interpretable machine learning by Ranran Kou, Cong Wang, Jinxia Liu, Ran Wan, Zhe Jin, Le Zhao, Youjie Liu, Junwei Guo, Feng Li, Hongbo Wang, Song Yang, Cong Nie

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Short-Term Urban Water Demand Forecasting Using an Improved NeuralProphet Model by Yao Yao, Haixing Liu, Fengrui Gao, Hongcai Guo, Jiaxuan Zou

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Advancements in Technologies and Methodologies of Machine Learning in Landslide Susceptibility Research: Current Trends and Future Directions by Zongyue Lu, Genyuan Liu, Zhihong Song, Kang Sun, Ming Li, Yansi Chen, Xidong Zhao, Wei Zhang

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Research on Fault Diagnosis of Rotating Parts Based on Transformer Deep Learning Model by Zilin Zhang, Yaohua Deng, Xiali Liu, Jige Liao

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Integrating explainable artificial intelligence and light gradient boosting machine for glioma grading by Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Irsan Hardi

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Automated Sleep Staging via Parallel Frequency-Cut Attention by Zheng Chen, Ziwei Yang, Lingwei Zhu, Wei Chen, Toshiyo Tamura, Naoaki Ono, Md Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang

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