Advertisement

Browse Subject Areas

?

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

For more information about PLOS Subject Areas, click here.

Supervised machine learning

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

Furqan Rustam, Madiha Khalid, [ ... ], Gyu Sang Choi

Intracranial pressure based decision making: Prediction of suspected increased intracranial pressure with machine learning

Tadashi Miyagawa, Minami Sasaki, Akira Yamaura

The path to international medals: A supervised machine learning approach to explore the impact of coach-led sport-specific and non-specific practice

Michael Barth, Arne Güllich, Christian Raschner, Eike Emrich

FeAture Explorer (FAE): A tool for developing and comparing radiomics models

Yang Song, Jing Zhang, [ ... ], Guang Yang

Election forensics: Using machine learning and synthetic data for possible election anomaly detection

Mali Zhang, R. Michael Alvarez, Ines Levin

Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology

Muhammad Asif, Hugo F. M. C. M. Martiniano, Astrid M. Vicente, Francisco M. Couto

Experienced mental workload, perception of usability, their interaction and impact on task performance

Luca Longo

Automatic extraction of gene-disease associations from literature using joint ensemble learning

Balu Bhasuran, Jeyakumar Natarajan

A lexicon based method to search for extreme opinions

Sattam Almatarneh, Pablo Gamallo

Ensemble machine learning and forecasting can achieve 99% uptime for rural handpumps

Daniel L. Wilson, Jeremy R. Coyle, Evan A. Thomas

Assigning factuality values to semantic relations extracted from biomedical research literature

Halil Kilicoglu, Graciela Rosemblat, Thomas C. Rindflesch

A productive clash of perspectives? The interplay between articles’ and authors’ perspectives and their impact on Wikipedia edits in a controversial domain

Jens Jirschitzka, Joachim Kimmerle, [ ... ], Ulrike Cress

Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region

Mizuho Nishio, Kazuaki Nakane, [ ... ], Kaori Togashi

Advertisement

Create a weekly email alert for: Supervised machine learning

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