Geometric Morphometric Data Augmentation Using Generative Computational Learning Algorithms
The fossil record is notorious for being incomplete and distorted, frequently conditioning the type of knowledge that can be extracted from it. In many cases, this often leads to issues when performing complex statistical analyses, such as classification tasks, predictive modelling, and variance ana...
Main Authors: | Lloyd A. Courtenay, Diego González-Aguilera |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/24/9133 |
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