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Jordan Ott
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2020 – today
- 2021
- [i8]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 abs/2102.00280 (2021) - 2020
- [j6]Natalie Best, Jordan Ott, Erik Linstead
:
Exploring the efficacy of transfer learning in mining image-based software artifacts. J. Big Data 7(1): 59 (2020) - [j5]Jordan Ott, Erik Linstead
Learning in the machine: To share or not to share? Neural Networks 126: 235-249 (2020) - [j4]Lars Hertel, Julian Collado
Sherpa: Robust hyperparameter optimization for machine learning. SoftwareX 12: 100591 (2020) - [j3]Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi
A Fortran-Keras Deep Learning Bridge for Scientific Computing. Sci. Program. 2020: 8888811:1-8888811:13 (2020) - [c3]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: 1276-1280 - [i7]Natalie Best, Jordan Ott, Erik Linstead:
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts. CoRR abs/2003.01627 (2020) - [i6]Jordan Ott:
Giving Up Control: Neurons as Reinforcement Learning Agents. CoRR abs/2003.11642 (2020) - [i5]Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi:
A Fortran-Keras Deep Learning Bridge for Scientific Computing. CoRR abs/2004.10652 (2020) - [i4]Lars Hertel, Julian Collado, Peter J. Sadowski, Jordan Ott, Pierre Baldi:
Sherpa: Robust Hyperparameter Optimization for Machine Learning. CoRR abs/2005.04048 (2020) - [i3]Junze Liu, Jordan Ott, Julian Collado, Benjamin Jargowsky, Wenjie Wu
Deep-Learning-Based Kinematic Reconstruction for DUNE. CoRR abs/2012.06181 (2020)
2010 – 2019
- 2019
- [j2]Jordan Ott, Abigail Atchison, Erik Linstead
Exploring the applicability of low-shot learning in mining software repositories. J. Big Data 6: 35 (2019) - [j1]Nicholas LaHaye
Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 3056-3066 (2019) - [i2]Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi:
Learning in the Machine: To Share or Not to Share? CoRR abs/1909.11483 (2019) - [i1]Jordan Ott:
Questions to Guide the Future of Artificial Intelligence Research. CoRR abs/1912.10305 (2019) - 2018
- [c2]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: 336-339 - [c1]Jordan Ott, Abigail Atchison, Paul Harnack, Adrienne Bergh, Erik Linstead:
A deep learning approach to identifying source code in images and video. MSR 2018: 376-386
Coauthor Index
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