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2020 – today
- 2024
[i4]Hugh Zhang, Jeff Da, Dean Lee, Vaughn Robinson, Catherine Wu, Will Song, Tiffany Zhao, Pranav Raja, Dylan Slack, Qin Lyu, Sean Hendryx, Russell Kaplan, Michele Lunati, Summer Yue:
A Careful Examination of Large Language Model Performance on Grade School Arithmetic. CoRR abs/2405.00332 (2024)- 2023
- [c1]Dario Guevara, Amogh Joshi, Pranav Raja, Elizabeth Forrestel, Brian N. Bailey, Mason Earles:
An Open Source Simulation Toolbox for Annotation of Images and Point Clouds in Agricultural Scenarios. ISVC (1) 2023: 557-570 - 2022
- [j1]Alexander G. Olenskyj, Brent S. Sams
, Zhenghao Fei, Vishal Singh, Pranav V. Raja, Gail M. Bornhorst, J. Mason Earles:
End-to-end deep learning for directly estimating grape yield from ground-based imagery. Comput. Electron. Agric. 198: 107081 (2022) - [i3]Devin A. Rippner, Pranav Raja, Mason Earles, Alexander Buchko, Mina Momayyezi, Fiona Duong, Dilworth Parkinson, Elizabeth Forrestel, Ken Shackel, Andrew J. McElrone:
A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory. CoRR abs/2203.09674 (2022) - [i2]Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei, Vishal Singh, Pranav V. Raja, Gail M. Bornhorst, J. Mason Earles:
End-to-end deep learning for directly estimating grape yield from ground-based imagery. CoRR abs/2208.02394 (2022) - 2021
- [i1]Pranav Raja, Alex Olenskyj, Hamid Kamangir, Mason Earles:
Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression. CoRR abs/2112.03205 (2021)
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