| A Fortran-Keras deep learning bridge for scientific computing J Ott, M Pritchard, N Best, E Linstead, M Curcic, P Baldi Scientific Programming 2020, 1-13, 2020 | 105 | 2020 |
| Exploring the efficacy of transfer learning in mining image-based software artifacts N Best, J Ott, EJ Linstead Journal of Big Data 7, 1-10, 2020 | 37 | 2020 |
| Learning lexical features of programming languages from imagery using convolutional neural networks J Ott, A Atchison, P Harnack, N Best, H Anderson, C Firmani, E Linstead Proceedings of the 26th conference on program comprehension, 336-339, 2018 | 30 | 2018 |
| A time series analysis of TravisTorrent builds: to everything there is a season A Atchison, C Berardi, N Best, E Stevens, E Linstead 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 14 | 2017 |
| A topic analysis of the R programming language A Atchison, H Anderson, C Berardi, N Best, C Firmani, R German, ... Proceedings of the 40th International Conference on Software Engineering …, 2018 | 2 | 2018 |
| Applications of Machine Learning to Facilitate Software Engineering and Scientific Computing NC Best Chapman University, 2021 | | 2021 |
| Hyperparameter Optimization and a Deep Learning Bridge to Fortran J Ott, MS Pritchard, N Best, E Linstead, M Curcic, P Baldi AGU Fall Meeting Abstracts 2020, A068-0009, 2020 | | 2020 |
Jordan OttUniversity of California IrvineE-mail megerősítve itt: uci.edu
