Litcius/Paper detail

Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains

Benjamin Bourel, Ross Marchant, Thibault de Garidel‐Thoron, Martin Tetard, Doris Barboni, Yves Gally, Luc Beaufort

2020Computers & Geosciences61 citationsDOIOpen Access PDF

Topics & Concepts

PollenConvolutional neural networkComputer sciencePattern recognition (psychology)GeologyArtificial intelligencePaleontologyBiologyBotanyInsect and Arachnid Ecology and BehaviorSpectroscopy and Chemometric AnalysesSpecies Distribution and Climate Change
Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains | Litcius