Abstract: The paper presents a novel three-step transfer learning framework for enhancing cross-lingual transfer from high- to low-resource languages in the downstream application of Automatic Speech ...

Mingai Li, received her B.Sc. degree and M.Sc. degree from Daqing Petroleum Institute, Heilongjiang, China, in 1987 and 1990 respectively, and Ph.D. degree from Beijing University of Technology, ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Abstract: Transfer learning has been widely used in different scenarios, especially in those lacking enough labeled data. However, most of the existing transfer learning methods are based on the ...

Where would Indiana athletics be without the unloved transfer portal? Many fans may not like it, but it’s had a transformative effect on the Hoosiers. BLOOMINGTON, Ind. – This Indiana football season ...

Introduction: Event-related potentials (ERPs), such as P300, are widely utilized for non-invasive monitoring of brain activity in brain-computer interfaces (BCIs) via electroencephalogram (EEG).

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine learning has been successfully applied in recent years to screen materials for ...

Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A ...