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CNN
Validation Imagery and Labels
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CNN
Test Imagery and Labels
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CNN
Training Imagery and Labels Subset 2
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CNN
Training Imagery and Labels Subset 1
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Explainability in
CNN
Models By Means of Z-Scores
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Surveying the ice condensation period at southern polar Mars using a
CNN
...
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Fast Chirplet Transform to Enhance
CNN
Machine Listening - Validation on Animal calls and Speech
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ackermannluis/MCC_Him8_
CNN
: Mesoscale Cellular Convection from Himawari-8
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ackermannluis/MCC_Him8_
CNN
: Mesoscale Cellular Convection from Himawari-8
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Direction Reconstruction using a
CNN
for GeV-Scale Neutrinos in IceCube
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Direction Reconstruction using a
CNN
for GeV-Scale Neutrinos in IceCube
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Gallup/
CNN
/USA Today Poll: November Wave 1: Terrorism/Anthrax/Government
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Informed Machine Learning, Centrality,
CNN
, Relevant Document Detection, Repatriation of Indigenous Human Remains ...
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Gallup/
CNN
/USA Today Poll: Congress/Bush/War in Afghanistan/Enron/Business/Slavery
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DeepSeqSLAM: A Trainable
CNN
+RNN for Joint Global Description and Sequence-based Place Recognition
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m2lines/seaice_DA-ML: Code for implementing
CNN
sea ice correction via restarts ...
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m2lines/seaice_DA-ML: Code for implementing
CNN
sea ice correction via restarts ...
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HLWATER V1.0 - Trained Mask R-
CNN
for surface water mapping in boreal forest-tundra ...
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HLWATER V1.0 - Trained Mask R-
CNN
for surface water mapping in boreal forest-tundra ...
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CNN
-watershed: A machine learning-based tool for delineation and measurement of ice wedge polygons in high-resolution digital elevation models ...
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Author
Bierlich, Kevin C.
5
CNN
5
Friedlaender, Ari S.
5
Goldbogen, Jeremy A.
5
Gray, Patrick C.
5
Johnston, David W.
5
Mantell, Sydney A.
5
Kaichang CHENG
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FOS Computer and information sciences
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Machine Learning cs.LG
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cetaceans
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drones
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Western Antarctic Peninsula Antarctica
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Arctic Institute of North America
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Churchill
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Climate change
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