Suchergebnisse - Extreme Gradient Boosting algorithm (XGBoost) Algorithm

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    A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications von Wiens, Matthew, Verone‐Boyle, Alissa, Henscheid, Nick, Podichetty, Jagdeep T., Burton, Jackson

    ISSN: 1752-8054, 1752-8062, 1752-8062
    Veröffentlicht: United States John Wiley & Sons, Inc 01.03.2025
    Veröffentlicht in Clinical and translational science (01.03.2025)
    “… This tutorial focuses on the concepts and implementation of the popular eXtreme gradient boosting (XGBoost …”
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    Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients von Romeo, Luca, Moccia, Sara, Bernardini, Michele, Migliorelli, Lucia, Berardini, Daniele, Donati, Abele, Carsetti, Andrea, Bocci, Maria Grazia, Wendel Garcia, Pedro David, Guerci, Philippe, Ince, Can, Frontoni, Emanuele, Hilty, Matthias Peter, Alfaro-Farias, Mario, Vizmanos-Lamotte, Gerardo, Tschoellitsch, Thomas, Aguirre-Bermeo, Hernán, Apolo, Janina, Jurkolow, Geoffrey, Delahaye, Gauthier, Staudacher, Dawid L., David, Sascha, Welte, Tobias, Aslanidis, Theodoros, Korsos, Anita, Babik, Barna, Nikandish, Reza, Nova, Alice, Fogagnolo, Alberto, Ceriani, Roberto, Wu, Maddalena A., Cogliati, Chiara, Colombo, Riccardo, Catena, Emanuele, Turrini, Fabrizio, Simonini, Maria Sole, Fabbri, Silvia, Potalivo, Antonella, Gangitano, Gianfilippo, Antonelli, Massimo, Gommers, Diederik, Rodríguez-García, Raquel, Gámez-Zapata, Jorge, Taboada-Fraga, Xiana, Castro, Pedro, Escós-Orta, Jesús, Martín-Delgado, Maria C., Algaba-Calderon, Angela, Franch-Llasat, Diego, Roche-Campo, Ferran, Lozano-Gómez, Herminia, Zalba-Etayo, Begoña, Michot, Marc P., Klarer, Alexander, Schott, Peter, Merki, Lukas, Lambert, Adriana, Laube, Marcus, Wiegand, Jan, Westphalen, Andrea, Salomon, Petra, Hillgaertner, Frank, Petersen, Lina, Ksouri, Hatem, Sridharan, Govind Oliver, Cereghetti, Sara, Boroli, Filippo, Grazioli, Serge, Rimensberger, Peter C., Bürkle, Christian, Fleisch, Isabelle, Lavanchy, Jerome, Perez, Marie-Helene, Ramelet, Anne-Sylvie, Weber, Anja Baltussen, Christ, Andreas, Ceruti, Samuele, Glotta, Andrea, Marquardt, Katharina, Redecker, Hermann, Moret-Bochatay, Mallory, Brem, Jan, Gehring, Nadine, Selz, Daniela, Kleger, Gian-Reto, Pietsch, Urs, Filipovic, Miodrag, Sepulcri, Michael, Heise, Antje, Laurent, Jean-Christophe, Wendel Garcia, Pedro D., Heuberger, Dorothea, Bühler, Philipp, Brugger, Silvio, Fodor, Patricia, Locher, Pascal, Jovic, Marija, Haberthuer, Christoph, Lussman, Roger F., Colak, Elif

    ISSN: 2667-100X, 2667-100X
    Veröffentlicht: China Elsevier B.V 01.10.2021
    Veröffentlicht in Journal of intensive medicine (01.10.2021)
    “… We applied the Extreme Gradient Boosting (XGBoost) algorithm to the data to predict as a binary outcome the increase or decrease …”
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    Morphometric assessment and soil erosion susceptibility maping using ensemble extreme gradient boosting (XGBoost) algorithm: a study for Hunza-Nagar catchment, Northern Pakistan von Ahmad, Hilal, Yinghua, Zhang, Khan, Majid, Alam, Mehtab, Hameed, Sajid, Basnet, Prabhat Man Sing, Siddique, Aboubakar, Ullah, Zia

    ISSN: 1866-6280, 1866-6299
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2024
    Veröffentlicht in Environmental earth sciences (01.11.2024)
    “… Soil erosion and groundwater resources are two fundamental global concerns intricately linked through various hydrological and morphometric processes …”
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    Improved Marine Predators Algorithm and Extreme Gradient Boosting (XGBoost) for shipment status time prediction von Özdemir, Resul, Taşyürek, Murat, Aslantaş, Veysel

    ISSN: 0950-7051, 1872-7409
    Veröffentlicht: Elsevier B.V 21.06.2024
    Veröffentlicht in Knowledge-based systems (21.06.2024)
    “… The Extreme Gradient Boosting (XGB) and popular ML algorithms were compared for the classification of shipment status prediction first …”
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    Behavior-based User Anomaly Detection Scheme for 5G MEC von ZHANG Weicheng, WEI Hongquan, LIU Shuxin, WANG Gengrun

    ISSN: 1000-3428
    Veröffentlicht: Editorial Office of Computer Engineering 01.05.2022
    Veröffentlicht in Ji suan ji gong cheng (01.05.2022)
    “… is proposed.The user behavior is modeled, One-Hot coding and Mutual Information(MI) are used for data pre-processing and feature selection, and the eXtreme Gradient Boosting(XGBoost …”
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    Computation of energy across the type-C piano key weir using gene expression programming and extreme gradient boosting (XGBoost) algorithm von Bansal, Nipun, Singh, Deepak, Kumar, Munendra

    ISSN: 2352-4847, 2352-4847
    Veröffentlicht: Elsevier Ltd 01.06.2023
    Veröffentlicht in Energy reports (01.06.2023)
    “… ) and Extreme Gradient Boosting (XGBoost) techniques to examine energy losses throughout the type-C PKW …”
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    Lung Cancer Classification Using the Extreme Gradient Boosting (XGBoost) Algorithm and Mutual Information for Feature Selection von Zizilia, Regitha, Chrisnanto, Yulison Herry, Abdillah, Gunawan

    ISSN: 2302-8149, 2540-9719
    Veröffentlicht: Islamic University of Indragiri 01.09.2025
    Veröffentlicht in Sistemasi : jurnal sistem informasi (Online) (01.09.2025)
    “… This study aims to evaluate the impact of feature selection using Mutual Information on the performance of lung cancer classification with the XGBoost algorithm …”
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    3D excitation-emission matrix (EEM) fluorescence-based efficient detection of cosmetics health risks: comparative AI algorithm and eXtreme Gradient Boosting (XGBoost) implementations von Du, Runbao, Bu, Te, Huang, Zhenchuan, Morley, John Donald, Xing, Yukun, Li, Meixuan, Xu, Hao, Feng, Yuzhang, Zhou, Xinjie, Long, Dan, Jin, Zhengyu

    ISSN: 0959-6526
    Veröffentlicht: Elsevier Ltd 20.11.2025
    Veröffentlicht in Journal of cleaner production (20.11.2025)
    “… : Backpropagation Neural Network (BPNN), Convolutional Neural Network (CNN), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost …”
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    Arrhythmia Classification with ECG Signal using Extreme Gradient Boosting (XGBoost) Algorithm von Asmawati, Diah, Arif Sanjani, Lukman, Dimas Renggana, Christiant, Fatichah, Chastine, Mustaqim, Tanzilal

    ISSN: 2721-4842, 2686-6102
    Veröffentlicht: 31.10.2024
    Veröffentlicht in Journal of Technology and Informatics (31.10.2024)
    “… potential for errors, so there is a need for automatic ECG classification to detect arrhythmia. This study aims to fill the research gap by creating an ECG classification model to detect arrhythmia using the XGBoost algorithm …”
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    An improved cyclic multi model-eXtreme gradient boosting (CMM-XGBoost) forecasting algorithm on the GNSS vertical time series von Li, Zhen, Lu, Tieding, He, Xiaoxing, Montillet, Jean-Philippe, Tao, Rui

    ISSN: 0273-1177, 1879-1948
    Veröffentlicht: Elsevier B.V 01.01.2023
    Veröffentlicht in Advances in space research (01.01.2023)
    “… The eXtreme Gradient Boosting (XGBoost) algorithm is a machine learning algorithm that can evaluate features, and it has a great potential and stability for long-span time series forecasting …”
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    Artificial Intelligence for Mangrove Mapping and Monitoring Using Remote Sensing Imagery and Extreme Gradient Boosting (XGBoost) Algorithm with Python von Jamaluddin, Ilham

    ISSN: 2771-6600
    Veröffentlicht: IEEE 13.12.2024
    “… Extreme Gradient Boosting (XGBoost) is one of the supervised machine learning algorithms based on decision trees …”
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    Prediction of the 180 day functional outcomes in aneurysmal subarachnoid hemorrhage using an optimized XGBoost model von Zhou, Weichong, Liao, Xingfu, Shi, Hui, Wang, Mingfeng, Xiao, Yunchong, Yu, Xilu, Wu, Yilong, Liu, YanYi, Peng, Yin, Su, Hai

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 01.07.2025
    Veröffentlicht in Scientific reports (01.07.2025)
    “… ). In this study, we developed a predictive model using the extreme gradient boosting (XGBoost) algorithm to guide individualized treatment by combining inflammatory markers and clinical grading …”
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    A data-driven framework for lithium-ion battery RUL using LSTM and XGBoost with feature selection via Binary Firefly Algorithm von Jin, Zhao, Li, Xuebin, Qiu, Zhiqiang, Li, Fei, Kong, Erdan, Li, Bo

    ISSN: 0360-5442
    Veröffentlicht: Elsevier Ltd 01.01.2025
    Veröffentlicht in Energy (Oxford) (01.01.2025)
    “… Time-series analysis algorithms have been developed to directly forecast the Remaining Useful Life (RUL …”
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    Sonic Log Prediction Based on Extreme Gradient Boosting (XGBoost) Machine Learning Algorithm by Using Well Log Data von Hakam, Abdul, Utama, Widya, Garini, Sherly Ardhya, Jabar, Omar Abdul, Insani, Alif Nurdien Fitrah, Rosandi, Yudi

    ISSN: 2117-4458, 2273-1709, 2117-4458
    Veröffentlicht: Les Ulis EDP Sciences 01.01.2024
    Veröffentlicht in BIO web of conferences (01.01.2024)
    “… The alternative approach proposed in this research is sonic log prediction based on Extreme Gradient Boosting (XGBoost …”
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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

    ISSN: 1178-2021, 1176-6328, 1178-2021
    Veröffentlicht: New Zealand Dove Medical Press Limited 01.01.2022
    Veröffentlicht in Neuropsychiatric disease and treatment (01.01.2022)
    “… This study is conducted to develop prognostic model using XGBoost (extreme gradient boosting …”
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    Novel framework for image attribute annotation with gene selection XGBoost algorithm and relative attribute model von Zhang, Hongbin, Qiu, Diedie, Wu, Renzhong, Deng, Yixiong, Ji, Donghong, Li, Tao

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.07.2019
    Veröffentlicht in Applied soft computing (01.07.2019)
    “… In this paper, we present methods for generating a new hierarchical material attribute representation mechanism using a new-designed feature mid-fusion algorithm and the state-of-the-art relative attribute (RA) model …”
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    Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost) von Kavzoglu, Taskin, Teke, Alihan

    ISSN: 2193-567X, 1319-8025, 2191-4281
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2022
    Veröffentlicht in Arabian journal for science and engineering (2011) (01.06.2022)
    “… This present work intended to propose natural gradient boosting (NGBoost), a novel member of the ensemble learning family, for modeling landslide susceptibility for Macka County of Trabzon province, Turkey …”
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    Aircraft flight quality evaluation based on grey correlation analysis and XGBoost von SUN Baosong, SHI Zhiguo, PAN Xinlong, YAN Tinglong, WANG Feifan

    ISSN: 1674-8190
    Veröffentlicht: Editorial Department of Advances in Aeronautical Science and Engineering 01.08.2025
    Veröffentlicht in Hangkong Gongcheng Jinzhan (01.08.2025)
    “… )with the XGBoost algorithm. GCA is utilized to identify flight parameters closely related to flight quality, while the XGBoost algorithm is employed to construct a flight quality assessment model …”
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    Assessment of MV XLPE cable aging state based on PSO-XGBoost algorithm von Pan, Qiaosheng, Zhang, Chi, Wei, Xinyuan, Wan, Aode, Wei, Zeping

    ISSN: 0378-7796
    Veröffentlicht: Elsevier B.V 01.08.2023
    Veröffentlicht in Electric power systems research (01.08.2023)
    “… ) algorithm and the extreme gradient boosting (XGBoost) algorithm. The XGBoost model is established to assess the cable aging status with the inputs of partial …”
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