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

A robust technique based on VLM and Frangi filter for retinal vessel extraction and denoising

Khan Bahadar Khan, Amir. A. Khaliq, Abdul Jalil, Muhammad Shahid

A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network

Hongjun Guan, Zongli Dai, Aiwu Zhao, Jie He

Predicting outcome of Morris water maze test in vascular dementia mouse model with deep learning

Akinori Higaki, Masaki Mogi, [ ... ], Masatsugu Horiuchi

full-FORCE: A target-based method for training recurrent networks

Brian DePasquale, Christopher J. Cueva, [ ... ], L. F. Abbott

A novel selection method of seismic attributes based on gray relational degree and support vector machine

Yaping Huang, Haijun Yang, [ ... ], Zhixiong Li

Microblog sentiment analysis using social and topic context

Xiaomei Zou, Jing Yang, Jianpei Zhang

Vineyard water status assessment using on-the-go thermal imaging and machine learning

Salvador Gutiérrez, María P. Diago, Juan Fernández-Novales, Javier Tardaguila

Ant genera identification using an ensemble of convolutional neural networks

Alan Caio R. Marques, Marcos M. Raimundo, [ ... ], Fernando J. Von Zuben

Non-linear models for the detection of impaired cerebral blood flow autoregulation

Max Chacón, José Luis Jara, [ ... ], Ronney B. Panerai

Drug drug interaction extraction from the literature using a recursive neural network

Sangrak Lim, Kyubum Lee, Jaewoo Kang

Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation

Hazlee Azil Illias, Wee Zhao Liang

Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network

Seung Seog Han, Gyeong Hun Park, [ ... ], Sung Eun Chang

An approach for predicting the compressive strength of cement-based materials exposed to sulfate attack

Huaicheng Chen, Chunxiang Qian, Chengyao Liang, Wence Kang

Advertisement

Create a weekly email alert for: Machine learning

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