
Performance of machine-learning approaches in identifying ammonoid species based on conch properties
Author(s) -
Kenneth De Baets
Publication year - 2021
Publication title -
france biotechnologies
Language(s) - English
Resource type - Journals
eISSN - 2268-5278
pISSN - 1776-9671
DOI - 10.24072/pci.paleo.100010
Subject(s) - artificial intelligence , conch , machine learning , naive bayes classifier , computer science , pattern recognition (psychology) , random forest , support vector machine , paleontology , geology