| Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021 RK Borchering, C Viboud, E Howerton, CP Smith, S Truelove, MC Runge, ... Morbidity and Mortality Weekly Report 70 (19), 719, 2021 | 110 | 2021 |
| 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 | 68 | 2019 |
| 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 | 65* | 2020 |
| 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 | 30 | 2020 |
| 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 | 26 | 2021 |
| 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 |
| 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 | 16 | 2021 |
| 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 | 14 | 2020 |
| Using mobility data to understand and forecast COVID19 dynamics L Wang, X Ben, A Adiga, A Sadilek, A Tendulkar, S Venkatramanan, ... medRxiv, 2020 | 13 | 2020 |
| 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 | 9 | 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 | 9 | 2018 |
| A framework for discovering health disparities among cohorts in an influenza epidemic L Wang, J Chen, A Marathe World Wide Web 22, 2997-3020, 2019 | 7 | 2019 |
| Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations K Sherratt, H Gruson, R Grah, H Johnson, R Niehus, B Prasse, ... medRxiv, 2022.06. 16.22276024, 2022 | 6 | 2022 |
| 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 | 6 | 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 | 4 | 2020 |
| PDGM: Percolation-based directed graph matching in social networks L Wang, JH Cho, R Chen, J Chen 2017 IEEE International Conference on Communications (ICC), 1-7, 2017 | 2 | 2017 |
| Combining Theory and Data-Driven Approaches for Epidemic Forecasts L Wang, A Adiga, J Chen, B Lewis, A Sadilek, S Venkatramanan, ... Knowledge-Guided Machine Learning, 55-82, 2023 | 1 | 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 | | 2022 |
| 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 | | 2022 |
| Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative L Wang, T Miller, S Bethard, G Savova Proceedings of the 4th Clinical Natural Language Processing Workshop, 103-108, 2022 | | 2022 |
Madhav MaratheDistinguished Professor, Biocomplexity-Institute and Dept. Computer Science, University of VirginiaVerified email at virginia.edu
