| The seventeenth data release of the Sloan Digital Sky Surveys: Complete release of MaNGA, MaStar, and APOGEE-2 data N Abdurro’uf, K Accetta, C Aerts, V Silva Aguirre, R Ahumada, ... The Astrophysical Journal. Supplement Series 259 (2), 2022 | 705 | 2022 |
| Deep learning for unsupervised insider threat detection in structured cybersecurity data streams A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 466 | 2017 |
| Recurrent neural network attention mechanisms for interpretable system log anomaly detection A Brown, A Tuor, B Hutchinson, N Nichols Proceedings of the First Workshop on Machine Learning for Computing Systems, 1, 2018 | 253 | 2018 |
| Tensor deep stacking networks B Hutchinson, L Deng, D Yu IEEE transactions on pattern analysis and machine intelligence 35 (8), 1944-1957, 2012 | 194 | 2012 |
| Deep learning for semantic segmentation of defects in advanced STEM images of steels G Roberts, SY Haile, R Sainju, DJ Edwards, B Hutchinson, Y Zhu Scientific reports 9 (1), 12744, 2019 | 166 | 2019 |
| Annotating social acts: Authority claims and alignment moves in wikipedia talk pages EM Bender, JT Morgan, M Oxley, M Zachry, B Hutchinson, A Marin, ... Proceedings of the Workshop on Language in Social Media (LSM 2011), 48-57, 2011 | 99 | 2011 |
| Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection AR Tuor, R Baerwolf, N Knowles, B Hutchinson, N Nichols, R Jasper Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 73 | 2018 |
| Sequence-to-sequence neural networks for short-term electrical load forecasting in commercial office buildings E Skomski, JY Lee, W Kim, V Chandan, S Katipamula, B Hutchinson Energy and Buildings 226, 110350, 2020 | 65 | 2020 |
| Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers L Truong, C Jones, B Hutchinson, A August, B Praggastis, R Jasper, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 58 | 2020 |
| A deep architecture with bilinear modeling of hidden representations: Applications to phonetic recognition B Hutchinson, L Deng, D Yu 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 54 | 2012 |
| APOGEE Net: Improving the derived spectral parameters for young stars through deep learning R Olney, M Kounkel, C Schillinger, MT Scoggins, Y Yin, E Howard, ... The Astronomical Journal 159 (4), 182, 2020 | 49 | 2020 |
| Predicting the Effect of Single and Multiple Mutations on Protein Structural Stability R Dehghanpoor, E Ricks, K Hursh, S Gunderson, R Farhoodi, N Haspel, ... Molecules 23 (2), 251, 2018 | 49 | 2018 |
| Deep Learning for Classroom Activity Detection from Audio R Cosbey, A Wusterbarth, B Hutchinson ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 45 | 2019 |
| Unsupervised broadcast conversation speaker role labeling B Hutchinson, B Zhang, M Ostendorf 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 41 | 2010 |
| Subword-based modeling for handling oov words inkeyword spotting Y He, B Hutchinson, P Baumann, M Ostendorf, E Fosler-Lussier, ... 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 35 | 2014 |
| Deep learning for creating surrogate models of precipitation in Earth system models T Weber, A Corotan, B Hutchinson, B Kravitz, R Link Atmospheric Chemistry and Physics 20 (4), 2303-2317, 2020 | 34 | 2020 |
| Metric-Based Few-Shot Learning for Video Action Recognition C Careaga, B Hutchinson, N Hodas, L Phillips arXiv preprint arXiv:1909.09602, 2019 | 33 | 2019 |
| Tensor deep stacked neural network D Yu, L Deng, B Hutchinson US Patent 9,165,243, 2015 | 33 | 2015 |
| Explaining multimodal deceptive news prediction models S Volkova, E Ayton, DL Arendt, Z Huang, B Hutchinson Proceedings of the International AAAI Conference on Web and Social Media 13 …, 2019 | 32 | 2019 |
| Parallel Training of Deep Stacking Networks L Deng, B Hutchinson, D Yu Interspeech, 2012 | 30 | 2012 |
Aaron TuorWestern Washington UniversityVerified email at pnnl.gov
