Using the risk of spatial extrapolation by machine-learning models to assess the reliability of model predictions for conservation

被引:0
|
作者
Kevin J. Gutzwiller
Kimberly M. Serno
机构
[1] Baylor University,Department of Biology
[2] Baylor University,Institute for Ecological, Earth, and Environmental Sciences
来源
Landscape Ecology | 2023年 / 38卷
关键词
Boosted regression trees; Importance values; Multiscale spatial optimization; Predictive models; Random forests; Training space;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1363 / 1372
页数:9
相关论文
共 50 条
  • [1] Using the risk of spatial extrapolation by machine-learning models to assess the reliability of model predictions for conservation
    Gutzwiller, Kevin J. J.
    Serno, Kimberly M. M.
    LANDSCAPE ECOLOGY, 2023, 38 (06) : 1363 - 1372
  • [2] Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models
    Bhattacharya, Shashwat
    Verma, Mahendra K.
    Bhattacharya, Arnab
    PHYSICS OF FLUIDS, 2022, 34 (02)
  • [3] Demonstration and Mitigation of Spatial Sampling Bias for Machine-Learning Predictions
    Liu, Wendi
    Ikonnikova, Svetlana
    Hamlin, H. Scott
    Sivila, Livia
    Pyrcz, Michael J.
    SPE RESERVOIR EVALUATION & ENGINEERING, 2021, 24 (01) : 262 - 274
  • [4] Calibration of probability predictions from machine-learning and statistical models
    Dormann, Carsten F.
    GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2020, 29 (04): : 760 - 765
  • [5] Developing and Improving Risk Models using Machine-learning Based Algorithms
    Wang, Yan
    Ni, Xuelei Sherry
    PROCEEDINGS OF THE 2019 ANNUAL ACM SOUTHEAST CONFERENCE (ACMSE 2019), 2019, : 281 - 282
  • [6] Smartphones dependency risk analysis using machine-learning predictive models
    Giraldo-Jimenez, Claudia Fernanda
    Gaviria-Chavarro, Javier
    Sarria-Paja, Milton
    Bermeo Varon, Leonardo Antonio
    Villarejo-Mayor, John Jairo
    Rodacki, Andre Luiz Felix
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [7] Smartphones dependency risk analysis using machine-learning predictive models
    Claudia Fernanda Giraldo-Jiménez
    Javier Gaviria-Chavarro
    Milton Sarria-Paja
    Leonardo Antonio Bermeo Varón
    John Jairo Villarejo-Mayor
    André Luiz Felix Rodacki
    Scientific Reports, 12
  • [8] Machine-learning model makes predictions about network biology
    Theodoris, Christina V.
    Ellinor, Patrick T.
    NATURE, 2023,
  • [9] Using Ultrasound Image Augmentation and Ensemble Predictions to Prevent Machine-Learning Model Overfitting
    Snider, Eric J. J.
    Hernandez-Torres, Sofia I. I.
    Hennessey, Ryan
    DIAGNOSTICS, 2023, 13 (03)
  • [10] Phase discontinuity predictions using a machine-learning trained kernel
    Sawaf, Firas
    Groves, Roger M.
    APPLIED OPTICS, 2014, 53 (24) : 5439 - 5447