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Работы, на которые ссылается эта работа

Работ: 18

Работа: Analytical method for selection an informative set of features with limited resources in the pattern recognition problem

  1. International Journal of Innovative Technology and Exploring Engineering

    Hussein Alsteif, Murat Akkaya, Amit Saxena +1

    Другое2019Цитирований: 18
    ABI

  2. An Algorithm for Classification, Localization and Selection of Informative Features in the Space of Politypic Data

    Akhram Khasanovich Nishanov, Bakhtiyorjon Akbaraliev, Samandarov Batirbek Satimovich +2

    Статья2020Цитирований: 7
    ABI

  3. Feature selection of unreliable data using an improved multi-objective PSO algorithm

    Zhang Yong, Gong Dun-wei, Zhang Wan-qiu

    Статья2015Цитирований: 4
    ABI

  4. Binary ant lion approaches for feature selection

    E. Emary, Hossam M. Zawbaa, Aboul Ella Hassanien

    Статья2016Цитирований: 3
    ABI

  5. Recognizing multivariate geochemical anomalies for mineral exploration by combining deep learning and one-class support vector machine

    Yihui Xiong, Renguang Zuo

    Статья2020Цитирований: 3
    ABI

  6. Diverse fuzzy c-means for image clustering

    Lingling Zhang, Minnan Luo, Jun Liu +2

    Статья2018Цитирований: 2
    ABI

  7. Missing value imputation using unsupervised machine learning techniques

    P. S. Raja, K. Thangavel

    Статья2019Цитирований: 2
    ABI

  8. Без названия

    ДругоеЦитирований: 2
    ABI

  9. A new method to solve the problem of facing less learning samples in signal modulation recognition

    Sibao Fu, Xiaokai Liu

    Статья2020Цитирований: 2
    ABI

  10. A Parameter-Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox

    Jingbo Gai, Junxian Shen, He Wang +1

    Статья2020Цитирований: 2
    ABI

  11. Supervised machine learning for source allocation of per- and polyfluoroalkyl substances (PFAS) in environmental samples

    Tohren C. G. Kibbey, Rafal Jabrzemski, Denis M. O’Carroll

    Статья2020Цитирований: 2
    ABI

  12. Improving binary classification using filtering based on k-NN proximity graphs

    Maher Alaraj, Munir Majdalawieh, Maysam Abbod

    Статья2020Цитирований: 2
    ABI

  13. A new intelligent pattern classifier based on structured sparse representation

    Zhenyi Shen, Zhihong Man, Zhenwei Cao +1

    Статья2020Цитирований: 2
    ABI

  14. Constrained <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si54.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>-optimal sparse representation technique for face recognition

    Gargi Mishra, Virendra P. Vishwakarma, Apoorva Aggarwal

    Статья2020Цитирований: 2
    ABI

  15. Adaptive dictionary learning based on local configuration pattern for face recognition

    Dongmei Wei, Tao Chen, Shuwei Li +3

    Статья2020Цитирований: 2
    ABI

  16. Improved Deep CNN with Parameter Initialization for Data Analysis of Near-Infrared Spectroscopy Sensors

    Di Wang, Fengchun Tian, Simon X. Yang +3

    Статья2020Цитирований: 2
    ABI

  17. Без названия

    ДругоеЦитирований: 1
    ABI

  18. Без названия

    ДругоеЦитирований: 1
    ABI