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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A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud by Zeyu Wang, Xiaofang Chen, Yiwei Wu, Linke Jiang, Shiming Lin, Gang Qiu

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Development and validation of an interpretable nomogram for predicting the risk of the prolonged postoperative length of stay for tuberculous spondylitis: a novel approach for risk... by Parhat Yasin, Haopeng Luan, Cong Peng, Xinghua Song

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Debris flows dynamic risk assessment and interpretable Shapley method-based driving mechanisms exploring – A case study of the upper reach of the Min River by Yufeng He, Mingtao Ding, Yu Duan, Hao Zheng, Wen He, Jun Liu

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Incorporating Deep Learning Into Hydrogeological Modeling: Advancements, Challenges, and Future Directions by Zhenxue Dai, Chuanjun Zhan, Huichao Yin, Junjun Chen, Lulu Xu, Yuzhou Xia, Songlin Yang, Wei Chen, Mingxu Cao, Zhengyang Du, Xiaoying Zhang, Bicheng Yan, Yue Ma, Hao Wang, Farzad Moeini, Mohamad Reza Soltanian, Hung Vo Thanh, Kenneth C. Carroll

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How spatial scales enhance prediction: an interpretable multi-scale framework for bike-sharing demand prediction by Jiasong Zhu, Jingbiao Chen, Mingxiao Li, Wei Tu

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Innovative Framework for Historical Architectural Recognition in China: Integrating Swin Transformer and Global Channel–Spatial Attention Mechanism by Jiade Wu, Yang Ying, Yigao Tan, Zhuliang Liu

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Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability by Z. J. Yue, N. N. Wang, B. D. Xu, X. Huang, D. M. Yang, H. B. Xiao, Z. H. Shi

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Interpretable flash flood susceptibility mapping in Yarlung Tsangpo River Basin using H2O Auto-ML by Fei He, Suxia Liu, Xingguo Mo, Zhonggen Wang

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Regional Brain Aging Disparity Index: Region-Specific Brain Aging State Index for Neurodegenerative Diseases and Chronic Disease Specificity by Yutong Wu, Shen Sun, Chen Zhang, Xiangge Ma, Xinyu Zhu, Yanxue Li, Lan Lin, Zhenrong Fu

Subjects: “…model interpretability…”
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Security Enhancement in AAV Swarms: A Case Study Using Federated Learning and SHAP Analysis by Sushmitha Halli Sudhakara, Lida Haghnegahdar

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An interpretable machine learning approach for predicting drug-resistant epilepsy in children with tuberous sclerosis complex by Jie Fu, Jie Fu, Genfu Zhang, Genfu Zhang, Zhixian Yang, Zhixian Yang, Jiong Qin, Jiong Qin

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Physically Based and Data-Driven Models for Landslide Susceptibility Assessment: Principles, Applications, and Challenges by Chenzuo Ye, Hao Wu, Takashi Oguchi, Yuting Tang, Xiangjun Pei, Yufeng Wu

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AutoML for calorific value prediction using a large database from the coal gasification practices in China by Yuchao Guo, Xia Liu, Yunfei Gao, Xiaoyu Wang, Lu Ding, Weitong Pan, Cheng Hua, Yulian He, Xueli Chen, Zhenghua Dai, Guangsuo Yu, Fuchen Wang

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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

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IRnet: Immunotherapy response prediction using pathway knowledge-informed graph neural network by Yuexu Jiang, Manish Sridhar Immadi, Duolin Wang, Shuai Zeng, Yen On Chan, Jing Zhou, Dong Xu, Trupti Joshi

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