| DeepMerge–II. Building robust deep learning algorithms for merging galaxy identification across domains A Ćiprijanović, D Kafkes, K Downey, S Jenkins, GN Perdue, S Madireddy, ... Monthly Notices of the Royal Astronomical Society 506 (1), 677-691, 2021 | 55 | 2021 |
| Evolving Deep Networks Using HPC SR Young, DC Rose, T Johnston, WT Heller, TP Karnowski, TE Potok, ... MLHPC'17 Proceedings of the Machine Learning on HPC Environments, 7, 2017 | 52 | 2017 |
| 167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation RM Patton, JT Johnston, SR Young, CD Schuman, DD March, TE Potok, ... Proceedings of the International Conference for High Performance Computing …, 2018 | 40 | 2018 |
| Classifying and analyzing small-angle scattering data using weighted k nearest neighbors machine learning techniques RK Archibald, M Doucet, T Johnston, SR Young, E Yang, WT Heller Journal of Applied Crystallography 53 (2), 326-334, 2020 | 39 | 2020 |
| Vibrational properties of ferroelectric -vinylidene fluoride polymers and oligomers SM Nakhmanson, R Korlacki, JT Johnston, S Ducharme, Z Ge, JM Takacs Physical Review B—Condensed Matter and Materials Physics 81 (17), 174120, 2010 | 36 | 2010 |
| Resilience and robustness of spiking neural networks for neuromorphic systems CD Schuman, JP Mitchell, JT Johnston, M Parsa, B Kay, P Date, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020 | 27 | 2020 |
| Optimizing Convolutional Neural Networks for Cloud Detection T Johnston, SR Young, D Hughes, RM Patton, D White MLHPC'17 Proceedings of the Machine Learning on HPC Environments, 9 pages, 2017 | 26 | 2017 |
| Laparoscopic surgical skills are significantly improved by the use of a portable laparoscopic simulator: results of a randomized controlled trial TJ Johnston, B Tang, A Alijani, I Tait, RJ Steele, J Ker, G Nabi, ... World journal of surgery 37 (5), 957-964, 2013 | 25 | 2013 |
| Learning to predict material structure from neutron scattering data C Garcia-Cardona, R Kannan, T Johnston, T Proffen, K Page, SK Seal 2019 IEEE International Conference on Big Data (Big Data), 4490-4497, 2019 | 24 | 2019 |
| Turán Problems on Non-Uniform Hypergraphs JT Johnston, L Lu Electronic Journal of Combinatorics 21 (4), 34, 2014 | 24 | 2014 |
| Exascale deep learning to accelerate cancer research RM Patton, JT Johnston, SR Young, CD Schuman, TE Potok, DC Rose, ... 2019 IEEE International Conference on Big Data (Big Data), 1488-1496, 2019 | 22 | 2019 |
| In situ data analytics and indexing of protein trajectories T Johnston, B Zhang, A Liwo, S Crivelli, M Taufer Journal of computational chemistry 38 (16), 1419-1430, 2017 | 20 | 2017 |
| On the need for reproducible numerical accuracy through intelligent runtime selection of reduction algorithms at the extreme scale D Chapp, T Johnston, M Taufer 2015 IEEE International Conference on Cluster Computing, 166-175, 2015 | 19 | 2015 |
| Co-design center for exascale machine learning technologies (exalearn) FJ Alexander, J Ang, JA Bilbrey, J Balewski, T Casey, R Chard, J Choi, ... The International Journal of High Performance Computing Applications 35 (6 …, 2021 | 18 | 2021 |
| Evolving energy efficient convolutional neural networks SR Young, P Devineni, M Parsa, JT Johnston, B Kay, RM Patton, ... 2019 IEEE International Conference on Big Data (Big Data), 4479-4485, 2019 | 16 | 2019 |
| Low size, weight, and power neuromorphic computing to improve combustion engine efficiency CD Schuman, SR Young, JP Mitchell, JT Johnston, D Rose, ... 2020 11th International Green and Sustainable Computing Workshops (IGSC), 1-8, 2020 | 15 | 2020 |
| Rl-hems: Reinforcement learning based home energy management system for hvac energy optimization O Kotevska, K Kurte, J Munk, T Johnston, E Mckee, K Perumalla, H Zandi Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2020 | 15 | 2020 |
| Multi-objective optimization for size and resilience of spiking neural networks M Dimovska, T Johnston, CD Schuman, JP Mitchell, TE Potok 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile …, 2019 | 13 | 2019 |
| Boolean algebras and Lubell functions T Johnston, L Lu, KG Milans Journal of Combinatorial Theory, Series A 136, 174-183, 2015 | 11 | 2015 |
| Performance tuning of MapReduce jobs using surrogate-based modeling T Johnston, M Alsulmi, P Cicotti, M Taufer Procedia Computer Science 51, 49-59, 2015 | 11 | 2015 |
Michela TauferJack Dongarra Professor in High Performance Computing, The University of TennesseeVerified email at acm.org
