Hyper-Accelerated Learning for Brain-Computer Interfaces via Partial Target-Aware Optimal Transport

Author:

Gupta Ekansh1ORCID,Chen Cheng-Yeh1ORCID,Sivakumar Raghupathy1ORCID

Affiliation:

1. Georgia Institute of Technology, Atlanta, GA, USA

Publisher

ACM

Reference26 articles.

1. Charge for a whole day: Extending Battery Life for BCI Wearables using a Lightweight Wake-Up Command

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3. Blink to Get In: Biometric Authentication for Mobile Devices using EEG Signals

4. Progress in brain computer interface: Challenges and opportunities;Saha Simanto;Frontiers in Systems Neuroscience,2021

5. Abdul Satti , Cuntai Guan , Damien Coyle , and Girijesh Prasad . A covariate shift minimization method to alleviate non-stationarity effects for an adaptive brain-computer interface . Proceedings - International Conference on Pattern Recognition , pages 105 -- 108 , 2010 . Abdul Satti, Cuntai Guan, Damien Coyle, and Girijesh Prasad. A covariate shift minimization method to alleviate non-stationarity effects for an adaptive brain-computer interface. Proceedings - International Conference on Pattern Recognition, pages 105--108, 2010.

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1. Do Weak Brain Signals Get Amplified When Strong Brain Signals are Evoked?;2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops);2024-03-11

2. Transfer Learning for Brain-Computer Interfaces in Cyber-Physical Systems;2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2023-12-17

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