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Matias Damian Cattaneo, Jason Matthew Klusowski and William George Underwood Journal of the Royal Statistical Society Series B: Statistical Methodology (2025) https://doi.org/10.1093/jrsssb/qkaf077
Hongtu Zhu, Shuguang Yu, Fan Zhou, yingjie Zhang and Ziqi Chen (2025) https://doi.org/10.2139/ssrn.5799241
Application of generalized linear mixed effects random forest for identifying risk factors of prediabetes in Tehran Lipid and Glucose Study
Improving estimation of days to maturity in field pea using RGB aerial imagery and machine learning
Harry Navasca, Aliasghar Bazrafkan, Françoise Dalprá Dariva, Jeong‐Hwa Kim, Hannah Worral, Josephine Princy Johnson, Shailesh Raj Acharya, Lisa Piche, Andrew Ross, Garrett Raymon, Qi Zhang, Rebecca J. McGee, Kevin McPhee, Clarice J. Coyne, Paulo Flores and Nonoy Bandillo The Plant Phenome Journal 8(1) (2025) https://doi.org/10.1002/ppj2.70038
Guillaume Coqueret and Christophe Pérignon (2025) https://doi.org/10.2139/ssrn.5276723
Impact of Data Perturbation for Statistical Disclosure Control on the Predictive Performance of Machine Learning Techniques
Omid Memarian Sorkhabi, Seyed Mehdi Seyed Alizadeh, Farzad Tat Shahdost and Hakimeh Morabbi Heravi Journal of Asian Earth Sciences: X 7 100095 (2022) https://doi.org/10.1016/j.jaesx.2022.100095
Estimation of Heavy Metal Content in Soil Based on Machine Learning Models
Shuaiwei Shi, Meiyi Hou, Zifan Gu, Ce Jiang, Weiqiang Zhang, Mengyang Hou, Chenxi Li and Zenglei Xi Land 11(7) 1037 (2022) https://doi.org/10.3390/land11071037
Models under which random forests perform badly; consequences for applications
AMF: Aggregated Mondrian Forests for Online Learning
Jaouad Mourtada, Stéphane Gaïffas and Erwan Scornet Journal of the Royal Statistical Society Series B: Statistical Methodology 83(3) 505 (2021) https://doi.org/10.1111/rssb.12425
Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking