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Journal article
Cross-validation of a semantic segmentation network for natural history collection specimens.
Semantic segmentation has been proposed as a tool to accelerate the processing of natural history collection images. However, developing a flexible and resilient segmentation network requires an approach for adaptation which allows processing different datasets with minimal training and validation. This paper presents a cross-validation approach designed to determine whether... -
Abstract
Examining Herbarium Specimen Citation: Developing a literature-based institutional impact measure.
Herbarium specimens are critical components of the research process - providing "what, where, when" evidence for species distributions and through type designation, providing the basis for un-ambiguous, standardised nomenclature facilitating the interpretation of scientific names. Specimen references are embedded within research article texts, by convention usually presented in a relatively...Nicolson, Nicky ; Paton, Alan ; Phillips, Sarah ; Tucker, Allan
Text classification, Specimen citation, Text mining, and Citation metrics
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Abstract
Integrating Collector and Author Roles Across Specimen and Publication Datasets.
This work builds on the outputs of a collector data-mining exercise applied to GBIF mobilised herbarium specimen metadata, which uses unsupervised learning (clustering) to identify collectors from minimal metadata associated with field collected specimens (the DarwinCore terms , and ). Here, we outline methods to integrate these data-mined collector entities...Nicolson, Nicky ; Paton, Alan ; Phillips, Sarah ; Tucker, Allan
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Abstract
Progress in Authority Management of People Names for Collections.
The concept of building a network of relationships between entities, a knowledge graph, is one of the most effective methods to understand the relations between data. By organizing data, we facilitate the discovery of complex patterns not otherwise evident in the raw data. Each datum at the nodes of a...Groom, Quentin ; Besombes, Chloé ; Brown, Josh ; Chagnoux, Simon ; Georgiev, Teodor …