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Papers published: 5

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SS86 - Machine learning: an emerging toolkit for biodiversity science using museum collections
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Edited by Paul Frandsen, Rebecca Dikow, Mike Trizna, Alex White
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Conference Abstract
Methods, New Software Tools, and Best Practices for Developing High-quality Training Data for Machine Learning-based Image Analysis in Biodiversity Research
    Brian Stucky,     Laura Brenskelle, Robert Guralnick
10.3897/biss.3.37615
 02-07-2019
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Conference Abstract
Evaluating Geographic Patterns of Morphological Diversity in Ferns and Lycophytes Using Deep Neural Networks
    Alexander White,     Michael Trizna,     Paul Frandsen,     Laurence Dorr,     Rebecca Dikow, Eric Schuettpelz
10.3897/biss.3.37559
 02-07-2019
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Conference Abstract
Generating Masks for Image Segmentation in Digitized Herbarium Specimens
    Alexander White,     Rebecca Dikow, Makinnon Baugh, Abby Jenkins,     Paul Frandsen
10.3897/biss.3.37479
 26-06-2019
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Conference Abstract
Accelerating the Automated Detection, Counting and Measurements of Reproductive Organs in Herbarium Collections in the Era of Deep Learning
Adán Mora-Fallas,     Hervé Goëau, Susan Mazer,     Natalie Love,     Erick Mata-Montero,     Pierre Bonnet, Alexis Joly
10.3897/biss.3.37341
 26-06-2019
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Conference Abstract
Addressing Uncertainties in Machine Learning Predictions of Conservation Status
    Barnaby Walker, Tarciso Leão,     Steven Bachman,     Eve Lucas, Eimear Nic Lughadha
10.3897/biss.3.37147
 18-06-2019
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