TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information

28 January 2020

Papers citing "TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information"

6 / 6 papers shown

Title
Machine Learning for Infectious Disease Risk Prediction: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023 Mutong Liu Yang Liu Jiming Liu LM&MA AI4CE 105 5 0 06 Aug 2023
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 188 21 0 19 Jul 2022
Models for COVID-19 Pandemic: A Comparative Analysis A. Adiga Devdatt Dubhashi B. Lewis Madhav V. Marathe S. Venkatramanan A. Vullikanti 72 26 0 21 Sep 2020
Interpretable Sequence Learning for COVID-19 ForecastingNeural Information Processing Systems (NeurIPS), 2020 Sercan O. Arik Chun-Liang Li Chang Jo Kim Rajarishi Sinha Arkady Epshteyn ... Martin Nikoltchev Yash Sonthalia Hootan Nakhost Elli Kanal Tomas Pfister AI4TS 112 91 0 03 Aug 2020
Adaptive County Level COVID-19 Forecast Models: Analysis and Improvement Stewart W Doe T. R. Seekins David Fitzpatrick Dawsin Blanchard Salimeh Yasaei Sekeh AI4TS 73 3 0 16 Jun 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental SystemsACM Computing Surveys (ACM CSUR), 2020 J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 328 488 0 10 Mar 2020