| A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States NG Reich, LC Brooks, SJ Fox, S Kandula, CJ McGowan, E Moore, ... Proceedings of the National Academy of Sciences 116 (8), 3146-3154, 2019 | 246 | 2019 |
| Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the US NG Reich, CJ McGowan, TK Yamana, A Tushar, EL Ray, D Osthus, ... PLoS computational biology 15 (11), e1007486, 2019 | 135 | 2019 |
| N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR Hypotheses K Ganesan, P Bamdev, A Venugopal, A Tushar arXiv preprint arXiv:2106.06519, 2021 | 19 | 2021 |
| Extreme Learning ANFIS for classification problems A Tushar, GN Pillai 2015 1st International Conference on Next Generation Computing Technologies …, 2015 | 9 | 2015 |
| Accuracy of realtime multi-model ensemble forecasts for seasonal influenza in the US PLoS Comput Biol 15 NG Reich, CJ McGowan, TK Yamana, A Tushar, EL Ray, D Osthus, ... | 7 | 2019 |
| flusight: interactive visualizations for infectious disease forecasts A Tushar, NG Reich Journal of open source software 2 (13), 2017 | 6 | 2017 |
| Forecasting seasonal influenza in the US: A collaborative multi-year, multi-model assessment of forecast performance NG Reich, L Brooks, S Fox, S Kandula, C McGowan, E Moore, D Osthus, ... bioRxiv, 397190, 2018 | 5 | 2018 |
| Accuracy of real-time multimodel ensemble forecasts for seasonal influenza in the US PLOS Computational Biology. 2019; 15: e1007486 NG Reich, CJ McGowan, TK Yamana, A Tushar, EL Ray, D Osthus | 5 | |
| Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the US PLoS Comput Biol. 2019 Nov; 15 (11): e1007486. doi: 10.1371/journal. pcbi. 1007486 NG Reich, CJ McGowan, TK Yamana, A Tushar, EL Ray, D Osthus, ... | 4 | |
| A collaborative multi-model ensemble for real-time influenza season forecasting in the US NG Reich, CJ McGowan, TK Yamana, A Tushar, EL Ray, D Osthus, ... bioRxiv, 566604, 2019 | 3 | 2019 |
| Comparing Writing Styles using Word Embedding and Dynamic Time Warping A Tushar, A Dahiya arXiv preprint arXiv:1511.01666, 2015 | | 2015 |
| Making Sense of Hidden Layer Information in Deep Networks by Learning Hierarchical Targets A Tushar arXiv preprint arXiv:1505.00384, 2015 | | 2015 |
