Advertisement

Browse Subject Areas

?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

Machine learning

Deep learning framework for RNA 5hmC prediction using RNA language model embeddings

Md Muhaiminul Islam Nafi

Model-free prognostication of non-linear time series

Xiaoyong Wu, Shesh N. Rai, Georg F. Weber

Influence mechanism exploration and machine learning prediction of loess compression deformation coefficient under multi-factor coupling effects

Wei Zhou, Changqing Deng, Jin Wang

Preoperative evaluation of C2 pedicle screw placement using a deep learning model: Development and validation study

Junhao Bao, Wei Wang, [ ... ], Li Zhang

Machine learning-based on model for explain risk of 24-hour death in critically ill patients in the prehospital setting: A retrospective cohort study

Shengtao Li, Zhanzhan Li, [ ... ], Yanyan Li

Data-driven predictive modeling for massive intraoperative blood loss during living donor liver transplantation: Integrating machine learning techniques

Taiichi Wakiya, Yukihiro Sanada, [ ... ], Naohiro Sata

Winners and losers in the platform revolution

J. Christopher Westland

Applying team strategies for dynamic coordination: A comparative study of expertise using 3-on-3 basketball

Jun Ichikawa, Masatoshi Yamada, [ ... ], Keisuke Fujii

Exploring novel semi-inner product reproducing Kernels in Banach space for robust Kernel methods

Yi Ding, Ying Zhao, Yan Pei

Application of FT-NIR spectroscopy to the prediction of Chromium contamination in soil by evolutionary chemometrics

Shaoyong Hong, Zhanhong Liang, [ ... ], Xianchuan Wu

Fast decision mechanism for ternary tree partitioning in VVC intra coding

Jiamin Sun, Zhongjie Zhu, Renwei Tu, Zhibo Xie

Comparison of machine learning methods in forecasting and characterizing the birch and grass pollen season

Daniel Bulanda, Małgorzata Bulanda, [ ... ], Dorota Myszkowska

Scenario-based portfolio optimization via bootstrapping and machine learning methods: Theory development and empirical evidence from the Tehran Stock Market

Morteza Amini, Sajedeh Javadi, Majid Soleimani-damaneh

Advertisement

Create a weekly email alert for: Machine learning

You can change these options by clicking profile then "Alerts and Notifications"