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Работы, на которые ссылается эта работа

Работ: 77

Работа: Predictive modeling of oil rate for wells under gas lift using machine learning

  1. Machine learning-based estimation of nano-lubricants viscosity in different operating conditions

    Amin Bemani, Mohammad Madani, Alireza Kazemi

    Статья2023Цитирований: 25
    ABI
  2. A random forest guided tour

    Gérard Biau, Erwan Scornet

    Статья2016Цитирований: 9
    ABI
  3. Identification of cyclin protein using gradient boost decision tree algorithm

    Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang +4

    Статья2021Цитирований: 9
    ABI
  4. Decision tree-based diagnosis of coronary artery disease: CART model

    Mohammad M. Ghiasi, Sohrab Zendehboudi, Ali Asghar Mohsenipour

    Статья2020Цитирований: 8
    ABI
  5. Synergic sensing of light and heat emitted by offshore oil and gas platforms in the South China Sea

    Yujia Qiu, Xiao‐Ming Li, Lin Yan +1

    Статья2024Цитирований: 7
    ABI
  6. Fast Monte Carlo reliability evaluation using support vector machine

    Claudio M. Rocco, José Alı́ Moreno

    Статья2002Цитирований: 7
    ABI
  7. Modeling of CO<sub>2</sub>-brine interfacial tension: Application to enhanced oil recovery

    Mohammad Madani, Peyman Abbasi, Alireza Baghban +2

    Статья2017Цитирований: 7
    ABI
  8. Random Forest

    Steven J. Rigatti

    Статья2017Цитирований: 6
    ABI
  9. The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling

    Yile Ao, Hongqi Li, Liping Zhu +2

    Статья2018Цитирований: 6
    ABI
  10. Convolutional neural networks

    Walter Hugo Lopez Pinaya, Sandra Vieira, Rafael Garcia‐Dias +1

    Глава2019Цитирований: 6
    ABI
  11. Modeling thermal-induced wellhead growth through the lifecycle of a well

    Hao Yu, Zhaoyang Zhao, Arash Dahi Taleghani +2

    Статья2024Цитирований: 6
    ABI
  12. Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review

    Alessia Sarica, Antonio Cerasa, Aldo Quattrone

    Обзорная статья2017Цитирований: 5
    ABI
  13. Reliable Accuracy Estimates from <i>k</i>-Fold Cross Validation

    Tzu-Tsung Wong, Po-Yang Yeh

    Статья2019Цитирований: 4
    ABI
  14. Multiple predicting <i>K</i> -fold cross-validation for model selection

    Yoonsuh Jung

    Статья2017Цитирований: 4
    ABI