Search Results - xgboost(extreme gradient boosting) algorithm

Refine Results
  1. 1

    Aircraft flight quality evaluation based on grey correlation analysis and XGBoost by SUN Baosong, SHI Zhiguo, PAN Xinlong, YAN Tinglong, WANG Feifan

    ISSN: 1674-8190
    Published: Editorial Department of Advances in Aeronautical Science and Engineering 01.08.2025
    Published 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…”
    Get full text
    Journal Article
  2. 2

    Intrusion Detection using hybridized Meta-heuristic techniques with Weighted XGBoost Classifier by Mohiuddin, Ghulam, Lin, Zhijun, Zheng, Jiangbin, Wu, Junsheng, Li, Weigang, Fang, Yifan, Wang, Sifei, Chen, Jiajun, Zeng, Xinyu

    ISSN: 0957-4174, 1873-6793
    Published: Elsevier Ltd 01.12.2023
    Published in Expert systems with applications (01.12.2023)
    “…Due to the widespread global internet services, service providers and users face a primary problem defending their systems, specifically from a new category of…”
    Get full text
    Journal Article
  3. 3

    The role of booster vaccination in decreasing COVID-19 age-adjusted case fatality rate: Evidence from 32 countries by Zhou, Cui, Wheelock, Åsa M., Zhang, Chutian, Ma, Jian, Dong, Kaixing, Pan, Jingxiang, Li, Zhichao, Liang, Wannian, Gao, Jing, Xu, Lei

    ISSN: 2296-2565, 2296-2565
    Published: Switzerland Frontiers Media S.A 2023
    Published in Frontiers in public health (2023)
    “…) using Extreme Gradient Boosting (XGBoost) algorithm and SHapley Additive exPlanations (SHAP…”
    Get full text
    Journal Article
  4. 4

    SVM-Boosting based on Markov resampling: Theory and algorithm by Jiang, Hongwei, Zou, Bin, Xu, Chen, Xu, Jie, Tang, Yuan Yan

    ISSN: 0893-6080, 1879-2782, 1879-2782
    Published: United States Elsevier Ltd 01.11.2020
    Published in Neural networks (01.11.2020)
    “…In this article we introduce the idea of Markov resampling for Boosting methods. We first prove that Boosting algorithm with general convex loss function based on uniformly ergodic Markov chain (u.e.M.c…”
    Get full text
    Journal Article
  5. 5

    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…”
    Get full text
    Journal Article
  6. 6

    Detection of Potassium Deficiency and Momentary Transpiration Rate Estimation at Early Growth Stages Using Proximal Hyperspectral Imaging and Extreme Gradient Boosting by Weksler, Shahar, Rozenstein, Offer, Haish, Nadav, Moshelion, Menachem, Wallach, Rony, Ben-Dor, Eyal

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 01.02.2021
    Published in Sensors (Basel, Switzerland) (01.02.2021)
    “…Potassium is a macro element in plants that is typically supplied to crops in excess throughout the season to avoid a deficit leading to reduced crop yield…”
    Get full text
    Journal Article
  7. 7

    A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique by Ali, Amal Al, Khedr, Ahmed M., El-Bannany, Magdi, Kanakkayil, Sakeena

    ISSN: 2076-3417, 2076-3417
    Published: Basel MDPI AG 01.02.2023
    Published in Applied sciences (01.02.2023)
    “… We develop an FSF model using a powerful ensemble technique, the XGBoost (eXtreme Gradient Boosting…”
    Get full text
    Journal Article
  8. 8

    Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review by Nwanosike, Ezekwesiri Michael, Conway, Barbara R, Merchant, Hamid A, Hasan, Syed Shahzad

    ISSN: 1386-5056, 1872-8243, 1872-8243
    Published: Ireland Elsevier B.V 01.03.2022
    “…•ML algorithms deployed for clinical use are much fewer than expected. The advent of clinically adapted machine learning algorithms can solve numerous problems ranging from disease diagnosis and prognosis to therapy recommendations…”
    Get full text
    Journal Article
  9. 9

    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…”
    Get full text
    Journal Article
  10. 10

    Protein structural domain-disease association prediction based on heterogeneous networks by Zhang, Jingpu, Deng, Lianping, Deng, Lei

    ISSN: 1471-2164, 1471-2164
    Published: London BioMed Central 10.04.2025
    Published in BMC genomics (10.04.2025)
    “…Background Domains can be viewed as portable units of protein structure, folding, function, evolution, and design. Small proteins are often found to be…”
    Get full text
    Journal Article
  11. 11

    Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model by Zhang, Junyi, Ma, Xianglong, Zhang, Jialan, Sun, Deliang, Zhou, Xinzhi, Mi, Changlin, Wen, Haijia

    ISSN: 0301-4797, 1095-8630, 1095-8630
    Published: England Elsevier Ltd 15.04.2023
    Published in Journal of environmental management (15.04.2023)
    “… (SHapley Additive explanation)-XGBoost (eXtreme Gradient Boosting) algorithm, analyze the regional characteristics and spatial heterogeneity of landslide influencing…”
    Get full text
    Journal Article
  12. 12

    Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destination Earth by Strahlendorff, Mikko, Kröger, Anni, Prakasam, Golda, Kosmale, Miriam, Moisander, Mikko, Ovaskainen, Heikki, Poikela, Asko

    ISSN: 2673-6187, 2673-6187
    Published: Frontiers Media S.A 20.12.2024
    Published in Frontiers in remote sensing (20.12.2024)
    “… (eXtreme Gradient Boosting) and LightGBM (Light Gradient Boosting Machine) implementations of gradient boosting algorithms…”
    Get full text
    Journal Article
  13. 13

    Predicting (n,3n) nuclear reaction cross-sections using XGBoost and Leave-One-Out Cross-Validation by Ali Üncü, Yiğit, Danışman, Taner, Özdoğan, Hasan

    ISSN: 0969-8043, 1872-9800, 1872-9800
    Published: England Elsevier Ltd 01.05.2025
    Published in Applied radiation and isotopes (01.05.2025)
    “…) model based on the XGBoost (eXtreme Gradient Boosting) algorithm. By leveraging a comprehensive dataset of experimental cross-sectional values, the study…”
    Get full text
    Journal Article
  14. 14

    An AI-driven Predictive Model for Pancreatic Cancer Patients Using Extreme Gradient Boosting by Chakraborty, Aditya, Tsokos, Chris P

    ISSN: 1538-7887, 2214-1766
    Published: Melbourne Springer Nature B.V 01.12.2023
    “… of patients diagnosed with pancreatic cancer using the XGBoost (eXtreme Gradient Boosting) algorithm. The grid-search mechanism was implemented to compute the optimum…”
    Get full text
    Journal Article
  15. 15

    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…”
    Get full text
    Journal Article
  16. 16

    Identification of Orphan Genes in Unbalanced Datasets Based on Ensemble Learning by Gao, Qijuan, Jin, Xiu, Xia, Enhua, Wu, Xiangwei, Gu, Lichuan, Yan, Hanwei, Xia, Yingchun, Li, Shaowen

    ISSN: 1664-8021, 1664-8021
    Published: Frontiers Media S.A 02.10.2020
    Published in Frontiers in genetics (02.10.2020)
    “…, using Support Vector Machine, Random Forest (RF), AdaBoost (adaptive boosting), GBDT (gradient boosting decision tree), and XGBoost…”
    Get full text
    Journal Article
  17. 17

    XGBoost algorithm for predicting heat transfer coefficient of saturated flow boiling in mini/micro-channels by Noh, Hyeonseok, Kim, Jihyeok, Lee, Seunghyun, Kim, Sung-Min, Mudawar, Issam

    ISSN: 0017-9310
    Published: Elsevier Ltd 01.03.2026
    “…•The XGBoost algorithm was applied to predict saturated flow boiling heat transfer coefficients in mini/micro-channels…”
    Get full text
    Journal Article
  18. 18

    Future global concurrent droughts and their effects on maize yield by Muthuvel, Dineshkumar, Sivakumar, Bellie, Mahesha, Amai

    ISSN: 0048-9697, 1879-1026, 1879-1026
    Published: Elsevier B.V 10.01.2023
    Published in The Science of the total environment (10.01.2023)
    “…Droughts are one of the most devastating natural disasters. Droughts can co-exist in different forms (e.g. meteorological, hydrological, and agricultural) as…”
    Get full text
    Journal Article
  19. 19

    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…”
    Get full text
    Journal Article
  20. 20

    From data to decision: Machine learning determination of aerobic and anaerobic thresholds in athletes by Tomaszewski, Michał, Lukanova-Jakubowska, Anna, Majorczyk, Edyta, Dzierżanowski, Łukasz

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 29.08.2024
    Published in PloS one (29.08.2024)
    “…Lactate analysis plays an important role in sports science and training decisions for optimising performance, endurance, and overall success in sports. Two…”
    Get full text
    Journal Article