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Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning

by Maps, Frédéric, Storożenko, Piotr, Pasza, Świeżewski, Jędrzej, Ayata, Sakina-Dorothée
Published in Journal of Plankton Research (2023)
“... for only a handful of sampled images. We removed this hurdle by training a machine learning algorithm (a...”

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Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning

by Maps, Frédéric, Storożenko, Piotr, Pasza, Świeżewski, Jędrzej, Ayata, Sakina-Dorothée
Published in Journal of Plankton Research (2023)
“... for only a handful of sampled images. We removed this hurdle by training a machine learning algorithm (a...”

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Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning

by Maps, Frédéric, Storożenko, Piotr, Pasza, Świeżewski, Jędrzej, Ayata, Sakina-Dorothée
Published in Journal of Plankton Research (2023)
“... for only a handful of sampled images. We removed this hurdle by training a machine learning algorithm (a...”

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Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning

by Maps, Frédéric, Storożenko, Piotr, Pasza, Świeżewski, Jędrzej, Ayata, Sakina-Dorothée
Published in Journal of Plankton Research (2023)
“... for only a handful of sampled images. We removed this hurdle by training a machine learning algorithm (a...”

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5

Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning

by Maps, Frédéric, Storożenko, Piotr, Pasza, Świeżewski, Jędrzej, Ayata, Sakina-Dorothée
Published in Journal of Plankton Research (2023)
“... for only a handful of sampled images. We removed this hurdle by training a machine learning algorithm (a...”

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6

Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning

by Maps, Frédéric, Storożenko, Piotr, Pasza, Świeżewski, Jędrzej, Ayata, Sakina-Dorothée
Published in Journal of Plankton Research (2023)
“... for only a handful of sampled images. We removed this hurdle by training a machine learning algorithm (a...”

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7

Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning

by Maps, Frédéric, Storożenko, Piotr, Pasza, Świeżewski, Jędrzej, Ayata, Sakina-Dorothée
Published in Journal of Plankton Research (2023)
“... for only a handful of sampled images. We removed this hurdle by training a machine learning algorithm (a...”

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8

Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning

by Maps, Frédéric, Storożenko, Piotr, Pasza, Świeżewski, Jędrzej, Ayata, Sakina-Dorothée
Published in Journal of Plankton Research (2023)
“... for only a handful of sampled images. We removed this hurdle by training a machine learning algorithm (a...”

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9

Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning

by Maps, Frédéric, Storożenko, Piotr, Pasza, Świeżewski, Jędrzej, Ayata, Sakina-Dorothée
Published in Journal of Plankton Research (2023)
“... for only a handful of sampled images. We removed this hurdle by training a machine learning algorithm (a...”

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10

Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning

by Maps, Frédéric, Storożenko, Piotr, Pasza, Świeżewski, Jędrzej, Ayata, Sakina-Dorothée
Published in Journal of Plankton Research (2023)
“... for only a handful of sampled images. We removed this hurdle by training a machine learning algorithm (a...”

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11

Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning

by Maps, Frédéric, Storożenko, Piotr, Pasza, Świeżewski, Jędrzej, Ayata, Sakina-Dorothée
Published in Journal of Plankton Research (2023)
“... for only a handful of sampled images. We removed this hurdle by training a machine learning algorithm (a...”

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12

Visual predation risk and spatial distributions of large Arctic copepods along gradients of sea ice and bottom depth

by Langbehn, Tom J., Aarflot, Johanna M., Freer, Jennifer J., Varpe, Øystein
Published in Limnology and Oceanography (2023)
“... understood. We use a two-step hurdle regression model to analyze spatially resolved, long-term survey data...”

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13

Visual predation risk and spatial distributions of large Arctic copepods along gradients of sea ice and bottom depth

by Langbehn, Tom, Aarflot, Johanna Myrseth, Freer, Jennifer J., Varpe, Øystein
Published in Limnology and Oceanography (2023)
“... understood. We use a two-step hurdle regression model to analyze spatially resolved, long-term survey data...”

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14

Visual predation risk and spatial distributions of large Arctic copepods along gradients of sea ice and bottom depth

by Langbehn, Tom, Aarflot, Johanna Myrseth, Freer, Jennifer J., Varpe, Øystein
Published in Limnology and Oceanography (2023)
“... understood. We use a two-step hurdle regression model to analyze spatially resolved, long-term survey data...”

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15

Visual predation risk and spatial distributions of large Arctic copepods along gradients of sea ice and bottom depth

by Langbehn, Tom J., Aarflot, Johanna M., Freer, Jennifer J., Varpe, Øystein
Published in Limnology and Oceanography (2023)
“..., poorly understood. We use a two‐step hurdle regression model to analyze spatially resolved, long‐term...”

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16

Culture Techniques of Marine Copepods

by Santhosh, B, Anil, M K, Muhammed Anzeer, F, Aneesh, K S, Abraham, Mijo V, Gopakumar, G, George, Rani Mary, Gopalakrishnan, A, Unnikrishnan, C
Published 2018
“... standardised. One of the major hurdles for the seed production of many lucrative high value finfishes...”

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