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A concise review towards a novel target specific multi-source unsupervised transfer learning technique for GDP estimation using CO2 emission data

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Mechanism Research and Application of Brain-computer Interface

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An EEG Method to Identify Image Preference With an Explicit/Implicit Task Brain-Computer Interface

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Single-trial Classification of Fixation-related Potentials in Guided Visual Search Tasks using A Riemannian Network

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Spatio-Temporal Filtering for Evoked Potentials Detection

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A Maximum Fitting-based TrAdaBoost Method for Detecting Multiple Subjects' P300 Potentials

Li, M., Lin, F., & Xu, G. (2020) · International Winter Conference on Brain-Computer Interface (BCI) · doi:10.1109/bci48061.2020.9061626

Personalised Signal Processing for Cortical and Cardiac Applications

Saha, S. (2020) · Adelaide Research & Scholarship (AR&S) (University of Adelaide)

Novel techniques for sparse representation problems

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A P300 BCI calibration-free algorithm based on intersubject transfer and reinforcement learning

Chen, X., & Huang, Z. (2022) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp-bmei56279.2022.9980292

Boosting brain-computer interface performance through cognitive training: A brain-centric approach

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Wearable Gaze-Brain–Computer Interface Instrumentation for Visual Target Detection During Hands-Occupied Dual-Tasking

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Subject-Independent Imagined Speech Detection via Cross-Subject Generalization and Calibration

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Exploring individual biases in BCI research and users: Does gender matter?

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CAFormer: A Channel-Adaptive Transformer With Contrastive Learning for Robust RSVP-BCI Decoding Under Label Noise and Variability

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EEG-Aware Data Augmentation for Imagined Speech Classification Using Topographic Feature Mapping and 3D-CNN

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Wavelet-based mental workload classification with rapid personalization outperforms deep learning in cross-subject electroencephalography analysis

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A Multi-Scale Adaptive EEG Feature Selection and Weighting Method for Mental Workload Estimation in Rapid Serial Visual Presentation

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A review on transfer learning for brain-computer interface classification

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Novel Transfer Learning Approaches forImproving Brain Computer Interfaces

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Transfer learning with large-scale data in brain-computer interfaces

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A review on transfer learning approaches in brain–computer interface

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