Search Results - "Ellen, Jeffrey S."

Zooglider: An autonomous vehicle for optical and acoustic sensing of zooplankton by Ohman, Mark D., Davis, Russ E., Sherman, Jeffrey T., Grindley, Kyle R., Whitmore, Benjamin M., Nickels, Catherine F., Ellen, Jeffrey S.

“…We present the design and preliminary results from ocean deployments of Zooglider, a new autonomous zooplankton‐sensing glider. Zooglider is a modified Spray…”
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Improving UUV Seafloor Machine Learning with Environmental Metadata by Ellen, Jeffrey S., Craciun, Julia, Whitmore, Benjamin M.

“…Recent developments in metadata inclusion for image-based networks have provided promising results in improving image classification accuracy, especially…”
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Toward improving unmanned underwater vehicle sensing operations through characterization of the impacts and limitations of in situ environmental conditions by Whitmore, Benjamin M., Ellen, Jeffrey S., Grier, Michael C.

“…Many uncrewed underwater vehicles (UUV) missions are currently planned, executed, and analyzed with minimal environmental awareness. One common UUV operation…”
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Improving plankton image classification using context metadata by Ellen, Jeffrey S., Graff, Casey A., Ohman, Mark D.

“…Advances in both hardware and software are enabling rapid proliferation of in situ plankton imaging methods, requiring more effective machine learning…”
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Beyond transfer learning: Leveraging ancillary images in automated classification of plankton by Ellen, Jeffrey S., Ohman, Mark D.

“…We assess whether a supervised machine learning algorithm, specifically a convolutional neural network (CNN), achieves higher accuracy on planktonic image…”
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In-situ data from two 1500+ sub-mesoscale near-Lagrangian float deployments across 14 different sensor types by Ellen, Jeffrey S.

“…Here we describe a publicly available dataset of near-Lagrangian data points collected over multiple months (FebAug 2022) in the Gulf of Mexico and the Western…”
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Machine learning techniques to characterize functional traits of plankton from image data by Orenstein, Eric C., Ayata, Sakina‐Dorothée, Maps, Frédéric, Becker, Érica C., Benedetti, Fabio, Biard, Tristan, Garidel‐Thoron, Thibault, Ellen, Jeffrey S., Ferrario, Filippo, Giering, Sarah L. C., Guy‐Haim, Tamar, Hoebeke, Laura, Iversen, Morten Hvitfeldt, Kiørboe, Thomas, Lalonde, Jean‐François, Lana, Arancha, Laviale, Martin, Lombard, Fabien, Lorimer, Tom, Martini, Séverine, Meyer, Albin, Möller, Klas Ove, Niehoff, Barbara, Ohman, Mark D., Pradalier, Cédric, Romagnan, Jean‐Baptiste, Schröder, Simon‐Martin, Sonnet, Virginie, Sosik, Heidi M., Stemmann, Lars S., Stock, Michiel, Terbiyik‐Kurt, Tuba, Valcárcel‐Pérez, Nerea, Vilgrain, Laure, Wacquet, Guillaume, Waite, Anya M., Irisson, Jean‐Olivier

“…Plankton imaging systems supported by automated classification and analysis have improved ecologists' ability to observe aquatic ecosystems. Today, we are on…”
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