A machine learning based framework to identify unseen classes in open-world text classification
Classical supervised machine learning (ML) follows the assumptions of closed-world
learning. However, this assumption does not work in an open-world dynamic environment …
learning. However, this assumption does not work in an open-world dynamic environment …
FSCC: Few-shot learning for macromolecule classification based on contrastive learning and distribution calibration in cryo-electron tomography
Cryo-electron tomography (Cryo-ET) is an emerging technology for three-dimensional (3D)
visualization of macromolecular structures in the near-native state. To recover structures of …
visualization of macromolecular structures in the near-native state. To recover structures of …