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Towards High-Throughput 3D Insect Capture for Species Discovery and Diagnostics.

, , , , , and . eScience, page 559-560. IEEE Computer Society, (2017)

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Accelerating entomology with Web3D insects., , , and . Web3D, page 143. ACM, (2014)3D Scanning System for Automatic High-Resolution Plant Phenotyping., , , , , , and . CoRR, (2017)Capturing Natural-Colour 3D Models of Insects for Species Discovery and Diagnostics, , , and . PLOS | Public Library of Science, (2014)Feature selection using expected attainable discrimination., , , , , and . Pattern Recognit. Lett., 19 (5-6): 393-402 (1998)Never mind the metrics - what about the uncertainty? Visualising confusion matrix metric distributions., , , and . CoRR, (2022)An evaluation of the neocognitron., , and . IEEE Trans. Neural Networks, 8 (5): 1090-1105 (1997)Capturing natural-colour 3D models of insects for species discovery., , , and . CoRR, (2017)3D Scanning System for Automatic High-Resolution Plant Phenotyping., , , , , , and . DICTA, page 1-8. IEEE, (2016)Sleep monitoring with the Apple Watch: comparison to a clinically validated actigraph., , , , , and . F1000Research, (2019)Virtual 3D Models of Insects for Accelerated Quarantine Control., , , , , , and . ICCV Workshops, page 161-167. IEEE Computer Society, (2013)