Oct 5, 2023 · This article presents a new transfer learning method named group learning, that jointly aligns multiple domains (many-to-many) and an ...
Abstract— This paper presents a new transfer learning method named group learning, that jointly aligns multiple domains (many-to-many) and an extension ...
Jul 31, 2024 · This paper presents a new transfer learning method named group learning, that jointly aligns multiple domains (many-to-many) and an ...
May 21, 2023 · A new approach is introduced to address the subject dependency problem in P300-based brain-computer interfaces (BCI) by using transfer learning.
Jul 22, 2024 · Transfer Learning for P300 Brain-Computer Interfaces by Joint Alignment of Feature Vectors · More Relevant Posts · Machine Learning Strategies for ...
May 18, 2023 · A new approach is introduced to address the subject dependency problem in P300-based brain-computer interfaces (BCI) by using transfer learning.
Nov 9, 2021 · The TSA method here introduced demonstrates a good potential for transfer learning in the case of P300-based BCI data, where the mismatch ...
Missing: Joint | Show results with:Joint
This tutorial describes how TL can be considered in as many components of a BCI system as possible, and introduces a complete TL pipeline for MI-based BCIs.
May 8, 2024 · In this study, we propose a signal alignment (SA) for P300 event-related potential (ERP) signals that is intuitive, simple, computationally less expensive,
Missing: Joint Feature Vectors.
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Sep 25, 2024 · Abstract— The calibration procedure for a wearable P300 brain-computer interface (BCI) greatly impact the user experience of the system.