Advertisement

Browse Subject Areas

?

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

For more information about PLOS Subject Areas, click here.

Boosting algorithms

Enhanced machine learning and hybrid ensemble approaches for Coronary Heart Disease prediction

Maurice Wanyonyi, Zakayo Ndiku Morris, Faith Mueni Musyoka, Dominic Makaa Kitavi

Evaluation of stroke sequelae and rehabilitation effect on brain tumor by neuroimaging technique: A comparative study

Xueliang Guo, Lin Sun

Predicting in-hospital mortality in ICU patients with Coronary heart disease and diabetes mellitus using machine learning models

Guang Tu, Zhonglan Cai, [ ... ], Haijian Luo

Machine learning-based analyzing earthquake-induced slope displacement

Jiyu Wang, Niaz Muhammad Shahani, [ ... ], Xin Wei

Forecasting urban air quality in Paris using ensemble machine learning: A scalable framework for environmental management

Somia A. Asklany, Doaa Mohammed, [ ... ], Wajdan Al Malwi

Construction and application of machine learning models for predicting intradialytic hypotension

Pingping Wang, Ningjie Xu, [ ... ], Kedan Cai

Optimization of non-smooth functions via differentiable surrogates

Shikun Chen, Zebin Huang, Wenlong Zheng

The research explores the predictive capacity of the shear strength of reinforced concrete walls with different cross-sectional shapes using the XGBoost model

Hoa Thi Trinh, Tuan Anh Pham, Vu Dinh Tho, Duy Hung Nguyen

Machine learning-based prediction of glioma grading

Shihong Liu, Yunfang Xie, [ ... ], Wei Zou

BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression data

Li-Pang Chen

Machine learning–assisted optimization of a terahertz photonic metamaterial absorber for blood cancer detection

Asad Miah, Sams Al Zafir, [ ... ], Abdul Wahed

Ensemble machine learning prediction model for clinical refraction using partial interferometry measurements in childhood

Sa Ra Kim, Dong Hyun Kang, Gon Soo Choe, Dae Hee Kim

Forecasting auditor’s going concern opinion using with hybrid robust machine learning model

Uğur Ejder, Alpaslan Yaşar

Advertisement

Create a weekly email alert for: Boosting algorithms

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