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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Detection of UAV GPS Spoofing Attacks Using a Stacked Ensemble Method by Ting Ma, Xiaofeng Zhang, Zhexin Miao

Subjects: “…extreme gradient boosting (XGBoost)…”
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