IEEE

Easy-to-Hard Structure for Remote Sensing Scene Classification in Multitarget Domain Adaptation

Abstract: Multitarget domain adaptation (MTDA) is a transfer learning task that uses knowledge extracted from a labeled source domain to adapt across multiple unlabeled target domains. The MTDA ...
C&EN

Pose Classification Using Three-Dimensional Atomic Structure-Based Neural Networks Applied to Ion Channel–Ligand Docking

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. Article Views ...
IEEE

Transfer Learning for Covert Speech Classification Using EEG Hilbert Envelope and Temporal Fine Structure

Abstract: Brain-Computer Interfaces (BCIs) can decode imagined speech from neural activity. However, these systems typically require extensive training sessions where participants imaginedly repeat ...