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SYM01 - Applications of machine learning in biodiversity image analysis
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Part of collection TDWG Proceedings 2021
Conference Abstract
Challenges in Curating 2D Multimedia Data in the Application of Machine Learning in Biodiversity Image Analysis
    Yasin Bakış, Xiaojun Wang, Hank Bart
10.3897/biss.5.75856
 28-09-2021
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Conference Abstract
An Image is Worth a Thousand Species: Scaling high-resolution plant biodiversity prediction to biome-level using citizen science data and remote sensing imagery
    Lauren Gillespie, Megan Ruffley, Moisés Expósito-Alonso
10.3897/biss.5.74052
 10-09-2021
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Conference Abstract
Species Detection and Segmentation of Multi-specimen Historical Herbaria 
Krishna Kumar Thirukokaranam Chandrasekar,     Kenzo Milleville, Steven Verstockt
10.3897/biss.5.74060
 07-09-2021
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Conference Abstract
Reducing Manual Supervision Required for Biodiversity Monitoring with Self-Supervised Learning
Omiros Pantazis, Gabriel Brostow, Kate Jones, Oisin Mac Aodha
10.3897/biss.5.74047
 07-09-2021
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Conference Abstract
Extracting Data at Scale: Machine learning at the Natural History Museum
    Ben Scott,     Laurence Livermore
10.3897/biss.5.74031
 07-09-2021
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Conference Abstract
Robust Machine Learning Classification of Unlabeled Biological Data: A case study with herbaria sheets
Jonathan Koss, Anthony Jiang,     Patrick Sweeney,     Nelson Rios, Aaron Dollar
10.3897/biss.5.73833
 03-09-2021
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Conference Abstract
AI-based Identification of Plant Photographs from Herbarium Specimens
    Hervé Goëau,     Pierre Bonnet, Alexis Joly
10.3897/biss.5.73751
 31-08-2021
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