| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2024―Mar―25 |
Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint) |
Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla |
| 2 |
[GO] |
2024―Mar―25 |
Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread |
Nicola Neophytou, Afaf Taik, Golnoosh Farnadi |
| 3 |
[GO] |
2023―Jun―27 |
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts |
Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw Porebski, Srinivasan Venkatramanan, et al. (+2) Bryan Lewis, Madhav V. Marathe |
| 4 |
[GO] |
2023―Jun―27 |
Evaluating Factors Influencing COVID-19 Outcomes across Countries Using Decision Trees (Student Abstract) |
Aniruddha Pokhrel, Nikesh Subedi, Saurav Keshari Aryal |
| 5 |
[GO] |
2023―Jun―27 |
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks |
Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander |
| 6 |
[GO] |
2023―Jun―27 |
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling |
Clay H. Yoo, Ashiqur R. KhudaBukhsh |
| 7 |
[GO] |
2023―Jun―27 |
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax |
Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li |
| 8 |
[GO] |
2023―Jun―27 |
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection |
Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, Haohan Wang, Shiqi Deng, Shancheng Jiang |
| 9 |
[GO] |
2023―Jun―27 |
PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract) |
Yangxiao Bai, Kaiqun Fu |
| 10 |
[GO] |
2022―Sep―08 |
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19 |
Dongdong Wang, Shunpu Zhang, Liqiang Wang |
| 11 |
[GO] |
2022―Sep―08 |
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 |
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash |
| 12 |
[GO] |
2022―Sep―08 |
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans |
Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, et al. (+3) Chenggang Yan, Jiyong Zhang, Guiguang Ding |
| 13 |
[GO] |
2022―Sep―08 |
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond |
Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, et al. (+3) Yinming Mei, Qi Xiong, Fudong Shao |
| 14 |
[GO] |
2022―Sep―08 |
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting |
Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, et al. (+2) Bijaya Adhikari, B. Aditya Prakash |
| 15 |
[GO] |
2022―Sep―08 |
Responsible Prediction Making of COVID-19 Mortality (Student Abstract) |
Hubert Baniecki, Przemyslaw Biecek |
| 16 |
[GO] |
2022―Sep―08 |
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak |
Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou |
| 17 |
[GO] |
2022―Sep―08 |
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation |
Yu Qiu, Yun Liu, Shijie Li, Jing Xu |
| 18 |
[GO] |
2022―Sep―08 |
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks |
Arijit Sehanobish, Neal Ravindra, David Van Dijk |
| 19 |
[GO] |
2022―Sep―08 |
AI-Empowered Decision Support for COVID-19 Social Distancing |
Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Harold Ze Chie Teng, Han Yu, Zehui Xiong, et al. (+2) Dusit Niyato, Chunyan Miao |
| 20 |
[GO] |
2022―Sep―08 |
Transfer Graph Neural Networks for Pandemic Forecasting |
George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis |
| 21 |
[GO] |
2022―Jul―04 |
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies |
Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee |
| 22 |
[GO] |
2022―Jul―04 |
Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning |
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro |
| 23 |
[GO] |
2022―Jul―04 |
Dynamic Incentive Mechanism Design for COVID-19 Social Distancing |
Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu, Zehui Xiong, et al. (+2) Dusit Niyato, Chunyan Miao |
| 24 |
[GO] |
2022―Jul―04 |
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data |
Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey Tison, Alberto Sangiovanni-Vincentelli, Costas J. Spanos |
| 25 |
[GO] |
2022―Jul―04 |
Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract) |
Elizabeth Akinyi Ondula, Bhaskar Krishnamachari |
