公开(公告)号：US20250068925A1

公开(公告)日：2025-02-27

申请号：US18800792

申请日：2024-08-12

Applicant: Korea University Research and Business Foundation

Inventor： Seong Whan LEE ,  Kang YIN ,  Hye Bin SHIN ,  Byeong Hoo LEE

IPC: G06N3/096 ,  A61B5/372

Abstract: A generative inter-subject transfer learning apparatus includes: a data input unit for receiving source data and target data; a preprocessing unit for removing outliers from the source data and augmenting data; a first encoding unit for generating a feature vector of the source data received from the preprocessing unit and a feature vector of the target data; a generation unit for generating transfer data by reconfiguring the feature vector of the source data, and trained so that a domain of the source data follows a domain of the target data; a second encoding unit for generating a feature vector of the transfer data; and a classification unit for classifying the feature vector of the transfer data generated by the second encoding unit, and trained so that a classification result of the transfer data matches a classification result of the source data.