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Jacob J. Senecal

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2010 – 2019

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2019
[c3]
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  - conf/globalsip/VannoySS19
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Trevor C. Vannoy, Jacob J. Senecal, Veronika Strnadová-Neeley:
Improved Subspace K-Means Performance via a Randomized Matrix Decomposition. GlobalSIP 2019: 1-5
[c2]
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Amy Peerlinck, John Sheppard, Jacob J. Senecal:
AdaBoost with Neural Networks for Yield and Protein Prediction in Precision Agriculture. IJCNN 2019: 1-8
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Jacob J. Senecal, John W. Sheppard, Joseph A. Shaw:
Efficient Convolutional Neural Networks for Multi-Spectral Image Classification. IJCNN 2019: 1-8
2018
[j1]
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Mark Owkes, Eric Cauble, Jacob J. Senecal, Robert A. Currie:
Importance of curvature evaluation scale for predictive simulations of dynamic gas-liquid interfaces. J. Comput. Phys. 365: 37-55 (2018)

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