Jordan Ott

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 17

Top Topics

Simultaneous Optimization

Mining Software Repositories

Top Venues

Publications

Jordan Ott, David Bruyette, Cody L. Arbuckle, Dylan Balsz, Silke Hecht, Lisa Shubitz, Pierre Baldi
Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks. CoRR (2021)
Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
A Fortran-Keras Deep Learning Bridge for Scientific Computing. CoRR (2020)
Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi
Learning in the machine: To share or not to share? Neural Networks 126 (2020)
Jordan Ott
Giving Up Control: Neurons as Reinforcement Learning Agents. CoRR (2020)
Natalie Best, Jordan Ott, Erik Linstead
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts. CoRR (2020)
Lars Hertel, Julian Collado, Peter J. Sadowski, Jordan Ott, Pierre Baldi
Sherpa: Robust hyperparameter optimization for machine learning. SoftwareX 12 (2020)
Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
A Fortran-Keras Deep Learning Bridge for Scientific Computing. Sci. Program. 2020 (2020)
Lars Hertel, Julian Collado, Peter J. Sadowski, Jordan Ott, Pierre Baldi
Sherpa: Robust Hyperparameter Optimization for Machine Learning. CoRR (2020)
Natalie Best, Jordan Ott, Erik Linstead
Exploring the efficacy of transfer learning in mining image-based software artifacts. J. Big Data 7 (1) (2020)
Adrienne Bergh, Paul Harnack, Abigail Atchison, Jordan Ott, Elia Eiroa-Lledo, Erik Linstead
A Curated Set of Labeled Code Tutorial Images for Deep Learning. ICMLA (2020)
Junze Liu, Jordan Ott, Julian Collado, Benjamin Jargowsky, Wenjie Wu, Jianming Bian, Pierre Baldi
Deep-Learning-Based Kinematic Reconstruction for DUNE. CoRR (2020)
Jordan Ott, Abigail Atchison, Erik Linstead
Exploring the applicability of low-shot learning in mining software repositories. J. Big Data 6 (2019)
Jordan Ott
Questions to Guide the Future of Artificial Intelligence Research. CoRR (2019)
Nicholas LaHaye, Jordan Ott, Michael J. Garay, Hesham Mohamed El-Askary, Erik Linstead
Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (8) (2019)
Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi
Learning in the Machine: To Share or Not to Share? CoRR (2019)
Jordan Ott, Abigail Atchison, Paul Harnack, Natalie Best, Haley Anderson, Cristiano Firmani, Erik Linstead
Learning lexical features of programming languages from imagery using convolutional neural networks. ICPC (2018)
Jordan Ott, Abigail Atchison, Paul Harnack, Adrienne Bergh, Erik Linstead
A deep learning approach to identifying source code in images and video. MSR (2018)