DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions

31 July 2020

Papers citing "DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions"

13 / 13 papers shown

Title
Machine Learning for Infectious Disease Risk Prediction: A Survey Mutong Liu Yang Liu Jiming Liu LM&MA AI4CE 24 0 0 06 Aug 2023
Population Age Group Sensitivity for COVID-19 Infections with Deep Learning Md. Khairul Islam Tyler W. Valentine Roy X Wang Levi Davis Matt Manner Judy Fox 12 2 0 03 Jul 2023
Human Behavior in the Time of COVID-19: Learning from Big Data Hanjia Lyu Arsal Imtiaz Yufei Zhao Jiebo Luo 35 6 0 23 Mar 2023
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models Md. Khairul Islam Di Zhu Yingzheng Liu Andrej Erkelens Nick Daniello Judy Fox 30 1 0 06 Oct 2022
Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes Junwei Ma Bo Li Qingchun Li Chao Fan Ali Mostafavi 13 2 0 20 Sep 2022
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 31 18 0 19 Jul 2022
Forecasting COVID-19 spreading trough an ensemble of classical and machine learning models: Spain's case study Ignacio Heredia Cachá Judith Sáinz-Pardo Díaz M. Melguizo Álvaro López García 10 8 0 12 Jul 2022
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 31 73 0 23 Dec 2021
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS 46 17 0 15 Sep 2021
Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data Ananya Jana Carlos D Minacapelli V. Rustgi Dimitris N. Metaxas 25 1 0 10 Sep 2021
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting Lijing Wang A. Adiga S. Venkatramanan Jiangzhuo Chen B. Lewis Madhav Marathe 23 18 0 27 Oct 2020
Inter-Series Attention Model for COVID-19 Forecasting Xiaoyong Jin Yu-Xiang Wang Xifeng Yan AI4TS 24 36 0 25 Oct 2020
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task Han-Ching Wu Wenjie Ruan Jiangtao Wang Dingchang Zheng Bei Liu ... Xiangfei Chai Jian Chen Kunwei Li Shaolin Li A. Helal 32 25 0 30 Sep 2020