يعرض 1 - 10 نتائج من 43 نتيجة بحث عن '"K-Means SMOTE"', وقت الاستعلام: 1.51s تنقيح النتائج
  1. 1
    مؤتمر
    Imbalanced radar micro-motion target classification based on k-means SMOTE and deep residual network

    المؤلفون: Wang, Xiaoyi, Zhang, Shuhao, Zhang, Yue, Yu, Zhongjun

    المصدر: 2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS) Computer Technology and Information Science (ISCTIS), 2023 3rd International Symposium on. :828-833 Jul, 2023

    Relation: 2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)

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  2. 2
    دورية أكاديمية
    An effective role-oriented binary Walrus Grey Wolf approach for feature selection in early-stage chronic kidney disease detection

    المؤلفون: Mamatha, BAff1, IDs11255024040679_cor1, Terdal, Sujatha P.

    المصدر: International Urology and Nephrology. :1-22

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  3. 3
    دورية أكاديمية
    Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering

    المؤلفون: Muhammad Mujahid, EROL Kına, Furqan Rustam, Monica Gracia Villar, Eduardo Silva Alvarado, Isabel De La Torre Diez, Imran Ashraf

    المصدر: Journal of Big Data, Vol 11, Iss 1, Pp 1-32 (2024)

    مصطلحات موضوعية: Machine learning, Bag of words, Oversampling techniques, SMOTE, K-Means SMOTE, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2196-1115

    URL الوصول: https://doaj.org/article/ebc193eee4c148639cb2c008dd48baf6

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  4. 4
    مؤتمر
    A Cross-Project Aging-Related Bug Prediction Approach Based on Joint Probability Domain Adaptation and k-means SMOTE

    المؤلفون: Li, Dimeng, Liang, Mengting, Xu, Bin, Yu, Xiao, Zhou, Junwei, Xiang, Jianwen

    المصدر: 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) QRS-C Software Quality, Reliability and Security Companion (QRS-C), 2021 IEEE 21st International Conference on. :350-358 Dec, 2021

    Relation: 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C)

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  5. 5
    دورية أكاديمية
    Kmeans-SMOTE Integration for Handling Imbalance Data in Classifying Financial Distress Companies using SVM and Naïve Bayes

    المؤلفون: Didit Johar Maulana, Siti Saadah, Prasti Eko Yunanto

    المصدر: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 8, Iss 1, Pp 54-61 (2024)

    مصطلحات موضوعية: k-means-smote, data imbalance, financial distress, Systems engineering, TA168, Information technology, T58.5-58.64

    وصف الملف: electronic resource

    Relation: http://jurnal.iaii.or.id/index.php/RESTI/article/view/5140; https://doaj.org/toc/2580-0760

    URL الوصول: https://doaj.org/article/f8a9bb9d8dab47359f8a68a6106bb195

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  6. 6
    دورية أكاديمية
    Lung adenocarcinoma identification based on hybrid feature selections and attentional convolutional neural networks

    المؤلفون: Kunpeng Li, Zepeng Wang, Yu Zhou, Sihai Li

    المصدر: Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2991-3015 (2024)

    مصطلحات موضوعية: lung adenocarcinoma, tumor gene expression, feature selection, k-means-smote, latcnn, attention mechanism, Biotechnology, TP248.13-248.65, Mathematics, QA1-939

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1551-0018

    URL الوصول: https://doaj.org/article/95176bee6c9c43599559cda4ce885c99

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  7. 7
    دورية أكاديمية
    Measuring cyclists’ subjective perceptions of the street riding environment using K-means SMOTE-RF model and street view imagery

    المؤلفون: Qisheng Zeng, Zheng Gong, Songtai Wu, Caigang Zhuang, Shaoying Li

    المصدر: International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103739- (2024)

    مصطلحات موضوعية: Subjective perceptions, Street environment, Cyclists, Machine learning, K-means SMOTE, Street view imagery, Physical geography, GB3-5030, Environmental sciences, GE1-350

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S1569843224000931; https://doaj.org/toc/1569-8432

    URL الوصول: https://doaj.org/article/a5b5014995ed4d17a2a28b1cc169c5b6

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  8. 8
    دورية أكاديمية
    Collapsed column identification model based on K-means SMOTE and random forest algorithm

    المؤلفون: HAO Shuai, WANG Huaixiu, LIU Zuiliang

    المصدر: Meikuang Anquan, Vol 54, Iss 2, Pp 174-180 (2023)

    مصطلحات موضوعية: collapse column identification, k-means smote, random forest, 3d seismic exploration technology, seismic attribute optimization, machine learning, Mining engineering. Metallurgy, TN1-997

    وصف الملف: electronic resource

    Relation: https://www.mkaqzz.com/cn/article/id/8300; https://doaj.org/toc/1003-496X

    URL الوصول: https://doaj.org/article/72d1ee5e75064579ab82caada336b776

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  9. 9
    دورية أكاديمية
    Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering

    المؤلفون: Mujahid, Muhammad, Kına, EROL, Rustam, Furqan, Villar, Monica GraciaAff4, Aff5, Aff6, Alvarado, Eduardo SilvaAff4, Aff7, Aff8, De La Torre Diez, Isabel, Ashraf, ImranAff10, IDs40537024009434_cor7

    المصدر: Journal of Big Data. 11(1)

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  10. 10
    دورية أكاديمية

    لا يتم عرض هذه النتيجة على الضيوف.

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