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Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks
Coccidioidomycosis is the most common systemic mycosis in dogs in the so...
01/30/2021 ∙ by Jordan Ott, et al. ∙
16
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Deep-Learning-Based Kinematic Reconstruction for DUNE
In the framework of three-active-neutrino mixing, the charge parity phas...
12/11/2020 ∙ by Junze Liu, et al. ∙
2
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Sherpa: Robust Hyperparameter Optimization for Machine Learning
Sherpa is a hyperparameter optimization library for machine learning mod...
05/08/2020 ∙ by Lars Hertel, et al. ∙
111
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A Fortran-Keras Deep Learning Bridge for Scientific Computing
Implementing artificial neural networks is commonly achieved via high-le...
04/14/2020 ∙ by Jordan Ott, et al. ∙
0
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Giving Up Control: Neurons as Reinforcement Learning Agents
Artificial Intelligence has historically relied on planning, heuristics,...
03/17/2020 ∙ by Jordan Ott, et al. ∙
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Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts
Transfer learning allows us to train deep architectures requiring a larg...
03/03/2020 ∙ by Natalie Best, et al. ∙
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Questions to Guide the Future of Artificial Intelligence Research
The field of machine learning has focused, primarily, on discretized sub...
12/21/2019 ∙ by Jordan Ott, et al. ∙
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Learning in the Machine: To Share or Not to Share?
Weight-sharing is one of the pillars behind Convolutional Neural Network...
09/23/2019 ∙ by Jordan Ott, et al. ∙
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