Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra

Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra

Abstract Background Old mosquitoes are more likely to transmit malaria than young ones. Therefore, accurate prediction of mosquito population age can drastically improve the evaluation of mosquito-targeted interventions. However, standard methods for age-grading mosquitoes are laborious and costly....

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Bibliographic Details
Main Authors: Emmanuel P. Mwanga, Doreen J. Siria, Joshua Mitton, Issa H. Mshani, Mario González-Jiménez, Prashanth Selvaraj, Klaas Wynne, Francesco Baldini, Fredros O. Okumu, Simon A. Babayan
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Bioinformatics
Subjects:
Anopheles arabiensis
Convolutional neural network
Standard machine learning
Generalisability
Dimensionality reduction
Transfer learning
Online Access:https://doi.org/10.1186/s12859-022-05128-5

Internet

https://doi.org/10.1186/s12859-022-05128-5

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