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researcher

Jacob D. Hinkle

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CV1
  • math.FA1

identity via Semantic Scholar / OpenAlex

most citedLearning nonlinear level sets for dimensionality reduction in function approximation

3 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2020

Model Reduction of Shallow CNN Model for Reliable Deployment of Information Extraction from Medical Reports

Abhishek K Dubey, Alina Peluso, Jacob Hinkle +2

Shallow Convolution Neural Network (CNN) is a time-tested tool for the information extraction from cancer pathology reports. Shallow CNN performs competitively on this task to othe…

cs.CV2020

Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks

Theodore Papamarkou, Hayley Guy, Bryce Kroencke +8

Nondestructive evaluation methods play an important role in ensuring component integrity and safety in many industries. Operator fatigue can play a critical role in the reliability…

math.FA2019★ 3 cited

Learning nonlinear level sets for dimensionality reduction in function approximation

Guannan Zhang, Jiaxin Zhang, Jacob Hinkle

We developed a Nonlinear Level-set Learning (NLL) method for dimensionality reduction in high-dimensional function approximation with small data. This work is motivated by a variet…

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