| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ... Medrxiv, 2021 | 59 | 2021 |
| Interpretable sequence learning for COVID-19 forecasting S Arik, CL Li, J Yoon, R Sinha, A Epshteyn, L Le, V Menon, S Singh, ... Advances in Neural Information Processing Systems 33, 18807-18818, 2020 | 50 | 2020 |
| Active reinforcement learning A Epshteyn, A Vogel, G DeJong Proceedings of the 25th international conference on Machine learning, 296-303, 2008 | 41 | 2008 |
| Analytic models and empirical search: A hybrid approach to code optimization A Epshteyn, MJ Garzaran, G DeJong, D Padua, G Ren, X Li, K Yotov, ... International Workshop on Languages and Compilers for Parallel Computing …, 2005 | 39 | 2005 |
| Qualitative reinforcement learning A Epshteyn, G DeJong Proceedings of the 23rd international conference on machine learning, 305-312, 2006 | 15 | 2006 |
| Generative prior knowledge for discriminative classification A Epshteyn, G DeJong Journal of Artificial Intelligence Research 27, 25-53, 2006 | 14 | 2006 |
| Rotational prior knowledge for svms A Epshteyn, G DeJong European Conference on Machine Learning, 108-119, 2005 | 6 | 2005 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 4 | 2022 |
| A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan SÖ Arık, J Shor, R Sinha, J Yoon, JR Ledsam, LT Le, MW Dusenberry, ... NPJ digital medicine 4 (1), 1-18, 2021 | 2 | 2021 |
| A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan J Ledsam, S Arik, J Shor, R Sinha, J Yoon, L Le, M Dusenberry, N Yoder, ... | 1 | 2021 |
| Combining prior knowledge and data: Beyond the bayesian framework A Epshteyn | 1 | 2007 |
| Modular design for neural computing problems HC Tseng, A EPSHTEYN Information Sciences 2007, 1587-1593, 2007 | 1 | 2007 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US (preprint) E Cramer, E Ray, V Lopez, J Bracher, A Brennen, S Guertin, ... | | 2021 |
| Generative Prior Knowledge for Discriminative Classification G DeJong, A Epshteyn arXiv e-prints, arXiv: 1109.6033, 2011 | | 2011 |
| Modular Soft Computing Approach For Aircraft Carrier Landing Trajectory Prediction C Tseng, A Epshteyn New Mathematics and Natural Computation 5 (02), 497-512, 2009 | | 2009 |
| Learning in continuous multidimensional domains A Epshteyn University of Illinois at Urbana-Champaign, 1998 | | 1998 |
| Correlation of Heterogeneous Data With Fuzzy Logic C Tseng, A Epshteyn | | |
