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W14 Deep Learning for Biodiversity
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Part of collection TDWG Proceedings 2018
Conference Abstract
A Pipeline for Deep Learning with Specimen Images in iDigBio - Applying and Generalizing an Examination of Mercury Use in Preparing Herbarium Specimens
Matthew Collins, Gaurav Yeole,     Paul Frandsen,     Rebecca Dikow, Sylvia Orli, Renato Figueiredo
10.3897/biss.2.25699
 03-07-2018
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Conference Abstract
Applications of Deep Learning in Ornithology
Jessie Barry
10.3897/biss.2.27251
 06-06-2018
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Conference Abstract
Convolutional Neural Networks for Phytoplankton identification and classification
Lara Lloret, Ignacio Heredia,     Fernando Aguilar, Elisabeth Debusschere,     Klaas Deneudt, Francisco Hernandez
10.3897/biss.2.25762
 28-05-2018
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Conference Abstract
Technology Developments for Biodiversity Monitoring and Conservation
Steve Kelling
10.3897/biss.2.25833
 22-05-2018
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Conference Abstract
Deep learning for weed identification based on seed images
    Francisco Pando, Ignacio Heredia, Carlos Aedo Pérez, Mauricio Velayos Rodríguez, Lara Lloret Iglesias,     Joel Calvo
10.3897/biss.2.25749
 22-05-2018
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Conference Abstract
Deep learning for plant identification: how the web can compete with human experts
    Hervé Goëau, Alexis Joly,     Pierre Bonnet, Mario Lasseck,     Milan Šulc, Siang Thye Hang
10.3897/biss.2.25637
 22-05-2018
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Conference Abstract
Deep Learning for Forest Species Identification Based on Macroscopic Images
    Erick Mata-Montero, Dagoberto Arias-Aguilar, Geovanni Figueroa-Mata,     Juan Carlos Valverde
10.3897/biss.2.25261
 22-05-2018
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Conference Abstract
A Methodological Proposal for Collecting and Creating Macroscopic Photograph Collections of Tropical Woods with Potential for Use in Deep Learning
    Erick Mata-Montero,     Juan Carlos Valverde, Dagoberto Arias-Aguilar, Geovanni Figueroa-Mata
10.3897/biss.2.25260
 25-03-2018
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