| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2026―Feb―19 |
The Impact of COVID-19 on Twitter Ego Networks: Structure, Sentiment, and Topics |
Kamer Cekini, Elisabetta Biondi, Chiara Boldrini, Andrea Passarella, Marco Conti |
| 2 |
[GO] |
2025―Jan―14 |
Prompt-based contrastive learning to combat the COVID-19 infodemic |
Zifan Peng, Mingchen Li, Yue Wang, Daniel Y. Mo |
| 3 |
[GO] |
2024―Jul―15 |
Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning |
Sankhadeep Chatterjee, Saranya Bhattacharjee, Asit Kumar Das, Soumen Banerjee |
| 4 |
[GO] |
2020―Dec―09 |
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19 |
Mihaela van der Schaar, Ahmed M. Alaa, Andres Floto, Alexander Gimson, Stefan Scholtes, Angela Wood, et al. (+4) Eoin McKinney, Daniel Jarrett, Pietro Lio, Ari Ercole |
| 5 |
[GO] |
2020―Nov―24 |
CPAS: the UK’s national machine learning-based hospital capacity planning system for COVID-19 |
Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar |
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