ATLAS: An Adaptive Transfer Learning Based Pain Assessment System: A Real Life Unsupervised Pain Assessment Solution - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Mahdi Orooji, Houman Homayoun, Sayed Mohammad Hosseini, Mahya Faghih, Soheil Rafatirad, Setareh Rafatirad. ATLAS: An Adaptive Transfer Learning Based Pain Assessment System: A Real Life Unsupervised Pain Assessment Solution. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022. pages 1331-1337, IEEE, 2022. [doi]

This author has not been identified. Look up 'Ruijie Fang' in GoogleThis author has not been identified. Look up 'Ruoyu Zhang' in GoogleThis author has not been identified. Look up 'Elahe Hosseini' in GoogleThis author has not been identified. Look up 'Mahdi Orooji' in GoogleThis author has not been identified. Look up 'Houman Homayoun' in GoogleThis author has not been identified. Look up 'Sayed Mohammad Hosseini' in GoogleThis author has not been identified. Look up 'Mahya Faghih' in GoogleThis author has not been identified. Look up 'Soheil Rafatirad' in GoogleThis author has not been identified. Look up 'Setareh Rafatirad' in Google

runs on WebDSL