Jordan Ott - RankMe

17 papers A 2C 1Journal 14

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