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 | 154 | 2021 |
Cola-gnn: Cross-location attention based graph neural networks for long-term ili prediction S Deng, S Wang, H Rangwala, L Wang, Y Ning Proceedings of the 29th ACM international conference on information …, 2020 | 118* | 2020 |
DEFSI: Deep learning based epidemic forecasting with synthetic information L Wang, J Chen, M Marathe Proceedings of the AAAI conference on artificial intelligence 33 (01), 9607-9612, 2019 | 81 | 2019 |
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 | 60 | 2022 |
Forecasting influenza activity using machine-learned mobility map S Venkatramanan, A Sadilek, A Fadikar, CL Barrett, M Biggerstaff, J Chen, ... Nature communications 12 (1), 726, 2021 | 52 | 2021 |
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 | 45 | 2023 |
Tdefsi: Theory-guided deep learning-based epidemic forecasting with synthetic information L Wang, J Chen, M Marathe ACM Transactions on Spatial Algorithms and Systems (TSAS) 6 (3), 1-39, 2020 | 38 | 2020 |
All models are useful: Bayesian ensembling for robust high resolution covid-19 forecasting A Adiga, L Wang, B Hurt, A Peddireddy, P Porebski, S Venkatramanan, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 28 | 2021 |
Using mobility data to understand and forecast covid19 dynamics L Wang, X Ben, A Adiga, A Sadilek, A Tendulkar, S Venkatramanan, ... MedRxiv, 2020 | 28 | 2020 |
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. L Wang, A Adiga, S Venkatramanan, J Chen, B Lewis, M Marathe IEEE BigData 2020 Workshop on Data Science in Medicine and Healthcare, 2020 | 25 | 2020 |
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 | 18 | 2020 |
Efficacy of information in mineral exploration drilling J Caers, C Scheidt, Z Yin, L Wang, T Mukerji, K House Natural Resources Research 31 (3), 1157-1173, 2022 | 12 | 2022 |
Social media based simulation models for understanding disease dynamics T Hua, CK Reddy, L Zhang, L Wang, L Zhao, CT Lu, N Ramakrishnan Proceedings of the Twenty-Seventh International Joint Conference on …, 2018 | 12 | 2018 |
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway A Talekar, S Shriram, N Vaidhiyan, G Aggarwal, J Chen, ... Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 9 | 2021 |
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. L Wang, D Ghosh, MG Diaz, A Farahat, M Alam, C Gupta, J Chen, ... Advances in Neural Information Processing Systems 33, 19750--19761, 2020 | 8 | 2020 |
A framework for discovering health disparities among cohorts in an influenza epidemic L Wang, J Chen, A Marathe World Wide Web 22 (6), 2997-3020, 2019 | 8 | 2019 |
AI techniques for forecasting epidemic dynamics: Theory and practice A Adiga, B Lewis, S Levin, MV Marathe, HV Poor, SS Ravi, ... Artificial Intelligence in Covid-19, 193-228, 2022 | 5 | 2022 |
Multimodeling approach to evaluating the efficacy of layering pharmaceutical and nonpharmaceutical interventions for influenza pandemics PV Prasad, MK Steele, C Reed, LA Meyers, Z Du, R Pasco, ... Proceedings of the National Academy of Sciences 120 (28), e2300590120, 2023 | 4 | 2023 |
Enhancing COVID-19 ensemble forecasting model performance using auxiliary data sources A Adiga, G Kaur, B Hurt, L Wang, P Porebski, S Venkatramanan, B Lewis, ... 2022 IEEE International Conference on Big Data (Big Data), 1594-1603, 2022 | 4 | 2022 |
Phase-Informed Bayesian ensemble models improve performance of COVID-19 forecasts A Adiga, G Kaur, L Wang, B Hurt, P Porebski, S Venkatramanan, B Lewis, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15647 …, 2023 | 3 | 2023 |