A novel machine learning approach for spatiotemporal prediction of EMS events: A case study from Barranquilla, Colombia by Dionicio Neira-Rodado, Juan Camilo Paz-Roa, John Willmer Escobar, Miguel Ángel Ortiz-Barrios

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An urban land surface temperature and emissivity separation algorithm from ASTER TIR data and its application by Jinglun Li, Kun Li, Yonggang Qian, Xianhui Dou, Qijin Han, Jian Zeng, Hang Zhao, Qiongqiong Lan, Zhaopeng Xu, Jiayi Bai, Baoan Wei, Xining Liu, Feng Wang, Juntao Yang, Yueming Wang

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Relationship between stress hyperglycemia ratio and progression of non target coronary lesions: a retrospective cohort study by Shiqi Liu, Ziyang Wu, Gaoliang Yan, Yong Qiao, Yuhan Qin, Dong Wang, Chengchun Tang

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Exploring synergistic evolution of carbon emissions and air pollutants and spatiotemporal heterogeneity of influencing factors in Chinese cities by Xue Zhao, Bilin Shao, Jia Su, Ning Tian

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Explainable prediction model for punching shear strength of FRP-RC slabs based on kernel density estimation and XGBoost by Sheng Zheng, Tianyu Hu, Nima Khodadadi, Antonio Nanni

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Prediction model for spontaneous combustion temperature of coal based on PSO-XGBoost algorithm by Hui Zhuo, Tongren Li, Wei Lu, Qingsong Zhang, Lingyun Ji, Jinliang Li

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GAN data reconstruction based prediction method of telecom subscriber loss by Kehong A, Xiaodong HU

Subjects: “…XGBoost algorithm…”
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A new regional reference evapotranspiration model based on quantile approximation of meteorological variables by Guomin Huang, Jianhua Dong, Lifeng Wu, Jingwei Luo, Rangjian Qiu, Yaokui Cui, Yicheng Wang

Subjects: “…XGBoost…”
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Harnessing advanced hybrid deep learning model for real-time detection and prevention of man-in-the-middle cyber attacks by V. Kandasamy, A. Ameelia Roseline

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Explainable Model Prediction of Memristor by Sruthi Pallathuvalappil, Rahul Kottappuzhackal, Alex James

Subjects: “…Extreme gradient boost (XGBoost) predictor…”
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A multi-dimensional decision framework based on the XGBoost algorithm and the constrained parametric approach by Xinxin Wang, BingBing Zhang, Zeshui Xu, Ming Li, Marinko Skare

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Enhanced thyroid disease prediction using ensemble machine learning: a high-accuracy approach with feature selection and class balancing by Md. Rezaul Islam, Aniruddha Islam Chowdhury, Sharmin Shama, Md. Masudul Hasan Lamyea

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Prediction of influenza A virus-human protein-protein interactions using XGBoost with continuous and discontinuous amino acids information by Binghua Li, Xin Li, Xiaoyu Li, Li Wang, Jun Lu, Jia Wang

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Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture by Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis

Subjects: “…XGBoost classification…”
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Machine Learning-Based Prediction of Ecosystem-Scale CO₂ Flux Measurements by Jeffrey Uyekawa, John Leland, Darby Bergl, Yujie Liu, Andrew D. Richardson, Benjamin Lucas

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Predictive modeling of ALS progression: an XGBoost approach using clinical features by Richa Gupta, Mansi Bhandari, Anhad Grover, Taher Al-shehari, Mohammed Kadrie, Taha Alfakih, Hussain Alsalman

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Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

Subjects: “…coronary disease|machine learning|risk prediction model|logistic regression|k-nearest neighbor|support vector machine|decision tree|xgboost…”
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Relevant SMS Spam Feature Selection Using Wrapper Approach and XGBoost Algorithm by Diyari Jalal Mussa, Noor Ghazi M. Jameel

Subjects: “…SMS spam, wrapper methods, sequential feature selection, sequential forward selection, sequential backward selection, boosting classifier, extreme gradient boosting, XGBoost.…”
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Short-term photovoltaic power prediction combination model considering seasonal characteristic and data window by ZHANG Jing, XIONG Guojiang

Subjects: “…extreme gradient boosting (xgboost)…”
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A comparative analysis of Deep Neural Networks and Gradient Boosting Algorithms in long-term wind power forecasting by Ivanović Luka, Milić Saša D., Sokolović Živko, Rakić Aleksandar

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