Suchergebnisse - Machine Learning XGBoost Algorithm

Prediction of self-consolidating concrete properties using XGBoost machine learning algorithm: Part 1–Workability von Safhi, Amine el Mahdi, Dabiri, Hamed, Soliman, Ahmed, Khayat, Kamal H.

“… of 4.0–20 s (X¯ = 11 s).•XGBoost Predicts Workability: High accuracy in predicting slump flow and V-funnel time …”
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Cross-Border spillover of imported sovereign risk to China: Key factors identification based on XGBoost-SHAP explainable machine learning algorithm von Shi, Guifen, Chen, Zhizhen, Luo, Weichen, Wei, Zijun

“… •Novel use of XGBoost-SHAP explainable machine learning algorithm to explore risk spillover channels …”
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Metal–Metal Bonding Process Research Based on Xgboost Machine Learning Algorithm von Feng, Jingpeng, Zhan, Lihua, Ma, Bolin, Zhou, Hao, Xiong, Bang, Guo, Jinzhan, Xia, Yunni, Hui, Shengmeng

“… –metal bonding performance by applying SLJ experiments, finite element models (FEMs), and the Xgboost machine learning (ML) algorithm …”
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MLMD—A Malware-Detecting Antivirus Tool Based on the XGBoost Machine Learning Algorithm von Palša, Jakub, Ádám, Norbert, Hurtuk, Ján, Chovancová, Eva, Madoš, Branislav, Chovanec, Martin, Kocan, Stanislav

“… This paper focuses on training machine learning models using the XGBoost and extremely randomized trees algorithms on two datasets obtained using static and dynamic analysis of real malicious and benign samples …”
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Enhancing the prediction of student performance based on the machine learning XGBoost algorithm von Asselman, Amal, Khaldi, Mohamed, Aammou, Souhaib

“… In contrast, Machine Learning provides many powerful methods that could be efficient to enhance, in the technical sense, the prediction …”
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Analyzing the Impact of Climate Factors on GNSS-Derived Displacements by Combining the Extended Helmert Transformation and XGboost Machine Learning Algorithm von Liu, Hanlin, Yang, Linqiang, Li, Linchao

“… To precisely analyze the effect of different climate factors on long-term GNSS monitoring records, this study combines the extended seven-parameter Helmert transformation and a machine learning …”
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Investment estimation of prefabricated concrete buildings based on XGBoost machine learning algorithm von Yan, Hongyan, He, Zheng, Gao, Ce, Xie, Mingjing, Sheng, Haoyu, Chen, Huihua

“… buildings based on XGBoost machine learning algorithm. In the proposed model, the construction project cost-significance theory (CS …”
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XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage von Wang, Ruoran, Zhang, Jing, Shan, Baoyin, He, Min, Xu, Jianguo

“… This study is conducted to develop prognostic model using XGBoost (extreme gradient boosting …”
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Prediction of self-consolidating concrete properties using XGBoost machine learning algorithm: Rheological properties von Safhi, Amine el Mahdi, Dabiri, Hamed, Soliman, Ahmed, Khayat, Kamal H.

“… Utilizing these, an XGBoost model demonstrated exceptional accuracy (R2 of 0.99), markedly better than traditional methods …”
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Analysis of sediment re-formation factors after ginseng beverage clarification based on XGBoost machine learning algorithm von Feng, Jiabao, Cui, Yuan, Jiang, Chunyan, Bai, Xueyuan, Zhao, Daqing, Liu, Meichen, Dong, Zhengqi, Yu, Shiting, Wang, Siming

“… ) methods, based on the Extreme Gradient Boosting (XGBoost) model. The results showed that the clarity of the ginseng beverages was significantly improved by all the clarification treatments, but still formed sediment after storage …”
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Backbone ground motion model through simulated records and XGBoost machine learning algorithm: An application for the Azores plateau (Portugal) von Karimzadeh, Shaghayegh, Mohammadi, Amirhossein, Salahuddin, Usman, Carvalho, Alexandra, Lourenço, Paulo B.

“… Azores Islands are seismically active due to the tectonic structure of the region. Since the 15th century, they have been periodically shaken by approximately …”
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Forecasting short-term chlorophyll a concentration in Lake Erie using the machine learning XGBoost algorithm von Song, Yang

“… Leveraging machine learning tools to forecast algal blooms is crucial and promising for bloom management in various water systems …”
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XGBoost machine learning algorithm for predicting unplanned readmission in elderly patients with coronary heart disease von Song, Xuewu, Shi, Jianyou, Zhu, Changyu, Xian, Feng, Dong, Ziyi, Li, Jinqi

“… ). The extreme gradient boosting (XGBoost)-based model demonstrates good predictive performance and explainability …”
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Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach von IBAN, Muzaffer Can, BILGILIOGLU, Suleyman Sefa

“… Various machine learning classifiers such as Random Forest, Gradient Boosting Machines, and AdaBoost, as well as newer classifiers like XGBoost, LightGBM, and NGBoost, were used with 17 conditioning …”
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EP142 Diagnosis of pain deception using MMPI-2 based on XGBoost machine learning algorithm: a single-blinded randomized controlled trial von Moon, Ho Sik, Kim, Sung-Jun

“… This study explores using Minnesota Multiphasic Personality Inventory-2 (MMPI-2) analysis with machine learning (ML …”
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XGBoost machine learning algorithm for differential diagnosis of pediatric syncope von Kovalchuk, Tetiana, Boyarchuk, Oksana, Bogai, Sviatoslav

“… A machine learning model was built using XGBoost algorithm for multiclass classification based on input clinical, laboratory and instrumental patient data. Results …”
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Land use and land cover changes in Notwane watershed, Botswana, using extreme gradient boost (XGBoost) machine learning algorithm von Magidi, James, Bangira, Tsitsi, Kelepile, Matlhogonolo, Shoko, Moreblessings

“… This study utilized Extreme Gradient Boost (XGBoost), Support Vector Machine (SVM), and Random Forest (RF …”
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No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure von Carmona, Pedro, Dwekat, Aladdin, Mardawi, Zeena

“… This study opens the black boxes and fills the literature gap by showing how it is possible to fit a very precise Machine Learning model that is highly interpretable, by using a novel ML technique …”
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Immune cell profiles and predictive modeling in osteoporotic vertebral fractures using XGBoost machine learning algorithms von Chen, Yi-Chou, Su, Hui-Chen, Huang, Shih-Ming, Yu, Ching-Hsiao, Chang, Jen-Huei, Chiu, Yi-Lin

“… Methods This study aims to investigate the xCell signature-based immune cell profiles in osteoporotic patients with and without vertebral fractures, utilizing advanced predictive modeling through the XGBoost algorithm …”
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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm von Fan, Xuehui, Ye, Ruixue, Gao, Yan, Xue, Kaiwen, Zhang, Zeyu, Xu, Jing, Zhao, Jingpu, Feng, Jun, Wang, Yulong

“… The Department of Rehabilitation Medicine is key to improving patients' quality of life. Driven by chronic diseases and an aging population, there is a need to …”
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