Search Results - Extreme Gradient Boosting algorithm (XGBoost) Algorithm

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  1. 1

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

    ISSN: 1752-8054, 1752-8062, 1752-8062
    Published: United States John Wiley & Sons, Inc 01.03.2025
    Published 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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    Journal Article
  2. 2

    Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients by 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
    Published: China Elsevier B.V 01.10.2021
    Published 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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    Journal Article
  3. 3

    Morphometric assessment and soil erosion susceptibility maping using ensemble extreme gradient boosting (XGBoost) algorithm: a study for Hunza-Nagar catchment, Northern Pakistan by Ahmad, Hilal, Yinghua, Zhang, Khan, Majid, Alam, Mehtab, Hameed, Sajid, Basnet, Prabhat Man Sing, Siddique, Aboubakar, Ullah, Zia

    ISSN: 1866-6280, 1866-6299
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2024
    Published 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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    Journal Article
  4. 4

    Improved Marine Predators Algorithm and Extreme Gradient Boosting (XGBoost) for shipment status time prediction by Özdemir, Resul, Taşyürek, Murat, Aslantaş, Veysel

    ISSN: 0950-7051, 1872-7409
    Published: Elsevier B.V 21.06.2024
    Published 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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    Journal Article
  5. 5

    Behavior-based User Anomaly Detection Scheme for 5G MEC by ZHANG Weicheng, WEI Hongquan, LIU Shuxin, WANG Gengrun

    ISSN: 1000-3428
    Published: Editorial Office of Computer Engineering 01.05.2022
    Published 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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  6. 6

    Computation of energy across the type-C piano key weir using gene expression programming and extreme gradient boosting (XGBoost) algorithm by Bansal, Nipun, Singh, Deepak, Kumar, Munendra

    ISSN: 2352-4847, 2352-4847
    Published: Elsevier Ltd 01.06.2023
    Published 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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    Journal Article
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  8. 8

    Lung Cancer Classification Using the Extreme Gradient Boosting (XGBoost) Algorithm and Mutual Information for Feature Selection by Zizilia, Regitha, Chrisnanto, Yulison Herry, Abdillah, Gunawan

    ISSN: 2302-8149, 2540-9719
    Published: Islamic University of Indragiri 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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    Journal Article
  9. 9

    3D excitation-emission matrix (EEM) fluorescence-based efficient detection of cosmetics health risks: comparative AI algorithm and eXtreme Gradient Boosting (XGBoost) implementations by 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
    Published: Elsevier Ltd 20.11.2025
    Published 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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    Journal Article
  10. 10

    Arrhythmia Classification with ECG Signal using Extreme Gradient Boosting (XGBoost) Algorithm by Asmawati, Diah, Arif Sanjani, Lukman, Dimas Renggana, Christiant, Fatichah, Chastine, Mustaqim, Tanzilal

    ISSN: 2721-4842, 2686-6102
    Published: 31.10.2024
    Published 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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    Journal Article
  11. 11

    An improved cyclic multi model-eXtreme gradient boosting (CMM-XGBoost) forecasting algorithm on the GNSS vertical time series by Li, Zhen, Lu, Tieding, He, Xiaoxing, Montillet, Jean-Philippe, Tao, Rui

    ISSN: 0273-1177, 1879-1948
    Published: Elsevier B.V 01.01.2023
    Published 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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  12. 12

    Artificial Intelligence for Mangrove Mapping and Monitoring Using Remote Sensing Imagery and Extreme Gradient Boosting (XGBoost) Algorithm with Python by Jamaluddin, Ilham

    ISSN: 2771-6600
    Published: IEEE 13.12.2024
    “… Extreme Gradient Boosting (XGBoost) is one of the supervised machine learning algorithms based on decision trees…”
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    Conference Proceeding
  13. 13

    Prediction of the 180 day functional outcomes in aneurysmal subarachnoid hemorrhage using an optimized XGBoost model by 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
    Published: London Nature Publishing Group UK 01.07.2025
    Published 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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    Journal Article
  14. 14

    A data-driven framework for lithium-ion battery RUL using LSTM and XGBoost with feature selection via Binary Firefly Algorithm by Jin, Zhao, Li, Xuebin, Qiu, Zhiqiang, Li, Fei, Kong, Erdan, Li, Bo

    ISSN: 0360-5442
    Published: Elsevier Ltd 01.01.2025
    Published 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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    Journal Article
  15. 15

    Sonic Log Prediction Based on Extreme Gradient Boosting (XGBoost) Machine Learning Algorithm by Using Well Log Data by Hakam, Abdul, Utama, Widya, Garini, Sherly Ardhya, Jabar, Omar Abdul, Insani, Alif Nurdien Fitrah, Rosandi, Yudi

    ISSN: 2117-4458, 2273-1709, 2117-4458
    Published: Les Ulis EDP Sciences 01.01.2024
    Published 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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    Journal Article Conference Proceeding
  16. 16

    XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage by Wang, Ruoran, Zhang, Jing, Shan, Baoyin, He, Min, Xu, Jianguo

    ISSN: 1178-2021, 1176-6328, 1178-2021
    Published: New Zealand Dove Medical Press Limited 01.01.2022
    Published 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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    Journal Article
  17. 17

    Novel framework for image attribute annotation with gene selection XGBoost algorithm and relative attribute model by Zhang, Hongbin, Qiu, Diedie, Wu, Renzhong, Deng, Yixiong, Ji, Donghong, Li, Tao

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.07.2019
    Published 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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    Journal Article
  18. 18

    Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost) by Kavzoglu, Taskin, Teke, Alihan

    ISSN: 2193-567X, 1319-8025, 2191-4281
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 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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    Journal Article
  19. 19

    Assessment of MV XLPE cable aging state based on PSO-XGBoost algorithm by Pan, Qiaosheng, Zhang, Chi, Wei, Xinyuan, Wan, Aode, Wei, Zeping

    ISSN: 0378-7796
    Published: Elsevier B.V 01.08.2023
    Published 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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    Journal Article
  20. 20

    Implementing Extreme Gradient Boosting (XGBoost) Algorithm in Predicting Solar Irradiance by Obiora, Chibuzor N, Ali, Ahmed, Hasan, Ali N

    Published: IEEE 23.08.2021
    Published in 2021 IEEE PES/IAS PowerAfrica (23.08.2021)
    “…Globally, the consistent clamor by environmentalists for the need to mitigate the effects of climate change has necessitated the adoption of renewable energy…”
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    Conference Proceeding