25 citations · 43 across the 21 of their papers we have counts for
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cs.SD2023★ 2 cited
Transfer Learning to Detect COVID-19 Coughs with Incremental Addition of Patient Coughs to Healthy People's Cough Detection Models
Sudip Vhaduri, Seungyeon Paik, Jessica E Huber
Millions of people have died worldwide from COVID-19. In addition to its high death toll, COVID-19 has led to unbearable suffering for individuals and a huge global burden to the h…
cs.LG2023
Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains
Jinjin Cai, Sudip Vhaduri, Xiao Luo
Rapid discovery of new diseases, such as COVID-19 can enable a timely epidemic response, preventing the large-scale spread and protecting public health. However, limited research e…