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

Frequency-oriented hierarchical fusion network for single image raindrop removal

Juncheng Wang, Jie Zhang, Shuai Guo, Bo Li

Sampling clustering based on multi-view attribute structural relations

Guoyang Tang, Xueyi Zhao, Yanyun Fu, Xiaolin Ning

A novel machine learning-based prediction method for patients at risk of developing depressive symptoms using a small data

Minyoung Yun, Minjeong Jeon, Heyoung Yang

Identifying and characterizing superspreaders of low-credibility content on Twitter

Matthew R. DeVerna, Rachith Aiyappa, [ ... ], Filippo Menczer

Big data analysis for Covid-19 in hospital information systems

Xinpa Ying, Haiyang Peng, Jun Xie

Enhancing credit scoring accuracy with a comprehensive evaluation of alternative data

Rivalani Hlongwane, Kutlwano K. K. M. Ramaboa, Wilson Mongwe

Explainability of three-dimensional convolutional neural networks for functional magnetic resonance imaging of Alzheimer’s disease classification based on gradient-weighted class activation mapping

Boyue Song, Shinichi Yoshida, for the Alzheimer’s Disease Neuroimaging Initiative

The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic scoping review

Quan Duy Vo, Yukihiro Saito, [ ... ], Shinsuke Yuasa

Image classification with symbolic hints using limited resources

Mikkel Godsk Jørgensen, Lenka Tětková, Lars Kai Hansen

A refined approach for evaluating small datasets via binary classification using machine learning

Steffen Steinert, Verena Ruf, [ ... ], Stefan Küchemann

Early warning of systemic risk in stock market based on EEMD-LSTM

Meng Ran, Zhenpeng Tang, Yuhang Chen, Zhiqi Wang

Enhancing aspect-based multi-labeling with ensemble learning for ethical logistics

Abdulwahab Ali Almazroi, Nasir Ayub

An interpretable machine learning model for predicting 28-day mortality in patients with sepsis-associated liver injury

Chengli Wen, Xu Zhang, [ ... ], Muhan Lü

Advertisement

Create a weekly email alert for: Machine learning

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