Jordan Ott

According to our database, Jordan Ott authored at least 13 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks.

Jordan Ott, David Bruyette, Cody L. Arbuckle, Dylan Balsz, Silke Hecht, Lisa Shubitz, Pierre Baldi

CoRR, 2021

2020

A Fortran-Keras Deep Learning Bridge for Scientific Computing.

Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi

Sci. Program., 2020

Sherpa: Robust hyperparameter optimization for machine learning.

Lars Hertel, Julian Collado, Peter J. Sadowski, Jordan Ott, Pierre Baldi

SoftwareX, 2020

Learning in the machine: To share or not to share?

Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi

Neural Networks, 2020

Exploring the efficacy of transfer learning in mining image-based software artifacts.

Natalie Best, Jordan Ott, Erik Linstead

J. Big Data, 2020

Deep-Learning-Based Kinematic Reconstruction for DUNE.

Junze Liu, Jordan Ott, Julian Collado, Benjamin Jargowsky, Wenjie Wu, Jianming Bian, Pierre Baldi

CoRR, 2020

Giving Up Control: Neurons as Reinforcement Learning Agents.

Jordan Ott

CoRR, 2020

A Curated Set of Labeled Code Tutorial Images for Deep Learning.

Adrienne Bergh, Paul Harnack, Abigail Atchison, Jordan Ott, Elia Eiroa-Lledo, Erik Linstead

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning.

Nicholas LaHaye, Jordan Ott, Michael J. Garay, Hesham Mohamed El-Askary, Erik Linstead

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Exploring the applicability of low-shot learning in mining software repositories.

Jordan Ott, Abigail Atchison, Erik Linstead

J. Big Data, 2019

Questions to Guide the Future of Artificial Intelligence Research.

Jordan Ott

CoRR, 2019

2018

A deep learning approach to identifying source code in images and video.

Jordan Ott, Abigail Atchison, Paul Harnack, Adrienne Bergh, Erik Linstead

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Learning lexical features of programming languages from imagery using convolutional neural networks.

Jordan Ott, Abigail Atchison, Paul Harnack, Natalie Best, Haley Anderson, Cristiano Firmani, Erik Linstead

Proceedings of the 26th Conference on Program Comprehension, 2018