| Knowledge transfer in deep convolutional neural nets S Gutstein, O Fuentes, E Freudenthal International Journal on Artificial Intelligence Tools 17 (03), 555-567, 2008 | 58 | 2008 |
| Reduction of catastrophic forgetting with transfer learning and ternary output codes S Gutstein, E Stump 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 13 | 2015 |
| Transfer learning techniques for deep neural nets SM Gutstein The University of Texas at El Paso, 2010 | 11 | 2010 |
| Minimizing data requirements for soldier-interactive AI/ML applications through opportunistic sensing BJ Lance, GB Larkin, JO Touryan, JT Rexwinkle, SM Gutstein, SM Gordon, ... Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020 | 8 | 2020 |
| Latent learning-what your net also learned S Gutstein, O Fuentes, E Freudenthal The 2011 International Joint Conference on Neural Networks, 1316-1321, 2011 | 5 | 2011 |
| Pareto optimal streaming unsupervised classification S Basu, S Gutstein, B Lance, S Shakkottai International Conference on Machine Learning, 505-514, 2019 | 4 | 2019 |
| Training to a Neural Net's Inherent Bias S Gutstein, O Fuentes, E Freudenthal Twenty-Second International FLAIRS Conference, 2009 | 4 | 2009 |
| The Utility of Knowledge Transfer for Noisy Data. S Gutstein, O Fuentes, E Freudenthal FLAIRS, 59-64, 2008 | 3 | 2008 |
| Soldier-led adaptation of autonomous agents (SLA3) CP Hung, J Choi, SM Gutstein, MS Jaswa, JT Rexwinkle Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021 | 2 | 2021 |
| Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task? S Gutstein, B Lance, S Shakkottai arXiv preprint arXiv:2106.11174, 2021 | 1 | 2021 |
| Remote Photoplethysmography for Cardiovascular Monitoring S Gutstein AD1080252, 1-37, 2019 | 1 | 2019 |
| On the Impacts of Noise from Group-Based Label Collection for Visual Classification M Wigness, S Gutstein 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 1 | 2017 |
| The effects of output codes on transfer learning in a deep convolutional neural net S Gutstein, E Stump 2017 International Joint Conference on Neural Networks (IJCNN), 542-548, 2017 | | 2017 |
| Towards Multiclass Brain-Computer Interface for Joint Human-Computer Image Analysis BJ Lance, AJ Ries, VJ Lawhern, DT Slayback, SM Gutstein | | 2017 |
| Work in progress—The Rod-Spring approximation: An intuitive approach to the best-fit least-squares linear approximation S Gutstein, E Freudenthal, A Jamal-Kamali, V Kreinovich, D Morgenthaler 2011 Frontiers in Education Conference (FIE), S1D-1-S1D-2, 2011 | | 2011 |
| Latent learning in deep neural nets S Gutstein, O Fuentes, E Freudenthal The 2010 International Joint Conference on Neural Networks (IJCNN), 1-6, 2010 | | 2010 |
| The Utility of Knowledge Transfer with Noisy Training Sets S Gutstein, O Fuentes, E Freudenthal | | 2008 |
| Extraction of Roads from Aerial Images S Gutstein | | |
