| Mathematical models for covid-19 pandemic: a comparative analysis A Adiga, D Dubhashi, B Lewis, M Marathe, S Venkatramanan, A Vullikanti Journal of the Indian Institute of Science 100 (4), 793-807, 2020 | 248 | 2020 |
| Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021 RK Borchering MMWR. Morbidity and Mortality Weekly Report 70, 2021 | 163 | 2021 |
| The United States COVID-19 forecast hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific data 9 (1), 462, 2022 | 115 | 2022 |
| Causalgnn: Causal-based graph neural networks for spatio-temporal epidemic forecasting L Wang, A Adiga, J Chen, A Sadilek, S Venkatramanan, M Marathe Proceedings of the AAAI conference on artificial intelligence 36 (11), 12191 …, 2022 | 100 | 2022 |
| Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ... Elife 12, e81916, 2023 | 67 | 2023 |
| Evaluating the impact of international airline suspensions on the early global spread of COVID-19 A Adiga, S Venkatramanan, J Schlitt, A Peddireddy, A Dickerman, A Bura, ... Medrxiv, 2020 | 56* | 2020 |
| Wavelet-based reconstruction for unlimited sampling S Rudresh, A Adiga, BA Shenoy, CS Seelamantula 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 52 | 2018 |
| Gammatone wavelet cepstral coefficients for robust speech recognition A Adiga, M Magimai, CS Seelamantula 2013 IEEE international conference of IEEE region 10 (TENCON 2013), 1-4, 2013 | 44 | 2013 |
| Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination S Truelove, CP Smith, M Qin, LC Mullany, RK Borchering, J Lessler, ... Elife 11, e73584, 2022 | 42 | 2022 |
| All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Peddireddy, Przemyslaw ... KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge …, 2021 | 36* | 2021 |
| Auditory-motivated Gammatone wavelet transform A Venkitaraman, A Adiga, CS Seelamantula Signal Processing 94, 608-619, 2014 | 34 | 2014 |
| Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi … RK Borchering, LC Mullany, E Howerton, M Chinazzi, CP Smith, M Qin, ... The Lancet Regional Health–Americas 17, 2023 | 33 | 2023 |
| Examining deep learning models with multiple data sources for COVID-19 forecasting L Wang, A Adiga, S Venkatramanan, J Chen, B Lewis, M Marathe 2020 IEEE international conference on big data (Big Data), 3846-3855, 2020 | 32 | 2020 |
| Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty E Howerton, L Contamin, LC Mullany, M Qin, NG Reich, S Bents, ... Nature communications 14 (1), 7260, 2023 | 31 | 2023 |
| Using mobility data to understand and forecast covid19 dynamics L Wang, X Ben, A Adiga, A Sadilek, A Tendulkar, S Venkatramanan, ... MedRxiv, 2020 | 31 | 2020 |
| Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support P Bhattacharya, J Chen, S Hoops, D Machi, B Lewis, S Venkatramanan, ... The International Journal of High Performance Computing Applications 37 (1 …, 2023 | 25 | 2023 |
| Data-driven modeling for different stages of pandemic response A Adiga, J Chen, M Marathe, H Mortveit, S Venkatramanan, A Vullikanti Journal of the Indian Institute of Science 100 (4), 901-915, 2020 | 22 | 2020 |
| Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations SM Mathis, AE Webber, TM León, EL Murray, M Sun, LA White, LC Brooks, ... Nature communications 15 (1), 6289, 2024 | 20 | 2024 |
| Interplay of global multi-scale human mobility, social distancing, government interventions, and COVID-19 dynamics A Adiga, L Wang, A Sadilek, A Tendulkar, S Venkatramanan, A Vullikanti, ... medRxiv, 2020.06. 05.20123760, 2020 | 17 | 2020 |
| Informing pandemic response in the face of uncertainty. An evaluation of the US COVID-19 Scenario Modeling Hub E Howerton, L Contamin, LC Mullany, M Qin, NG Reich, S Bents, ... medRxiv, 2023 | 12 | 2023 |
Srinivasan VenkatramananResearch Assistant Professor, Biocomplexity Institute, Univ. of Virginiaยืนยันอีเมลแล้วที่ virginia.edu