XGBoost-based calibration of the portable PAQMON 1.0 PM monitor in outdoor conditions by Topalović Dušan B., Smičiklas Ivana D., Radenković Mirjana B., Stanković Srboljub, Pepić Ivana Ž., Božilov Aca, Protić Milan

Subjects: “…xgboost…”
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Türkiye'de Ekonomik Şoklar ve Krizler Bağlamında Enflasyon Öngörüsü: XGBOOST ve ARMA Yöntemlerinin Karşılaştırması by Savaş Gayaker

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Evaluation Modeling of Electric Bus Interior Sound Quality Based on Two Improved XGBoost Algorithms Using GS and PSO by Enlai ZHANG, Yi CHEN, Liang SU, Ruoyu ZHONGLIAN, Xianyi CHEN, Shangfeng JIANG

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Real Estate Appraisal Performance Improvement by Adapting a Hybrid Model: Geographically Weighted Regression and Extreme Gradient Boosting in Al Bireh, Palestine by Jamal A.A. Numan, Izham Mohamad Yusoff

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An interpretable disruption predictor on EAST using improved XGBoost and SHAP by D.M. Liu, X.L. Zhu, Y.S. Jiang, S. Wang, S.B. Shu, B. Shen, B.H. Guo, L.C. Liu

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Explainable SHAP-XGBoost models for pressure injuries among patients requiring with mechanical ventilation in intensive care unit by Li Zheng, Yu-juan Xue, Zhen-nan Yuan, Xue-zhong Xing

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XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms by Tingting Zhang, Xu Yan, Xin Chen, Yi Mao

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CLASSIFICATION OF STUDENT GRADUATION STATUS USING XGBOOST ALGORITHM by Maria Welita Dwinanda, Neva Satyahadewi, Wirda Andani

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Monitoring air quality index with EWMA and individual charts using XGBoost and SVR residuals by Zulfani Alfasanah, M. Zaim Husnun Niam, Sri Wardiani, Muhammad Ahsan, Muhammad Hisyam Lee

Subjects: “…EWMA, Individuals Chart, XGBoost, SVR…”
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Short-Term Prediction Method for Gas Concentration in Poultry Houses Under Different Feeding Patterns by Yidan Xu, Guanghui Teng, Zhenyu Zhou

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Unveiling Drivers and Projecting Future Risks of Desertification Vulnerability in the Mongolian Plateau by Maolin Li, Buyanbaatar Avirmed, Ganbold Bayanmunkh, Yilin Liu, Yu Wang, Xinyu Yang, Yu Zhang, Qiang Yu

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Refining daily precipitation estimates using machine learning and multi-source data in alpine regions with unevenly distributed gauges by Huajin Lei, Hongyi Li, Hongyu Zhao

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Optimizing Breast Cancer Classification: A Comparative Analysis of Supervised and Unsupervised Machine Learning Techniques by Prithwish Ghosh, Debolina Banerjee

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Health Risk Classification Using XGBoost with Bayesian Hyperparameter Optimization by Syaiful Anam, Imam Nurhadi Purwanto, Dwi Mifta Mahanani, Feby Indriana Yusuf, Hady Rasikhun

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Comparison and Correction of Runoff Simulation Based on XGBoost and SWAT by LIANG Lisha, JIANG Xiaolei, HU Leyi, SHEN Jing, ZHANG Liping, FU Xiaolei

Subjects: “…XGBoost…”
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Student Dropout Prediction Using Random Forest and XGBoost Method by Lalu Ganda Rady Putra, Didik Dwi Prasetya, Mayadi Mayadi

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Prediction of Anemia from Multi-Data Attribute Co-Existence by Talal Qadah, Asmaa Munshi

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Identification of texture MRI brain abnormalities on Fibromyalgia syndrome using interpretable machine learning models by Hongyang Jiang, Aihui Liu, Zhenhua Ying

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Relative Humidity Prediction using XGBoost Machine Learning Model, Case Study: Bajgah Climatological Station, Iran by Reza Piraei, Ali Mohammadi, Seied Hosein Afzali

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Deep learning-based prediction model of acute kidney injury following coronary artery bypass grafting in coronary heart disease patients: a multicenter clinical study from China by Biao Hou, Biao Hou, Tingting Liu, Pengyun Yan, Yuqing Wang, Xuejian Hou, Liang Li, Haiping Yang, Lin Chen, Taoshuai Liu, Kui Zhang, Shijun Xu, Yang Li, Ran Dong

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