79 citations · 82 across the 2 of their papers we have counts for
3 papers
Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss
Masaki Nakanishi, Kazuki Sato, Hideo Terada
In image anomaly detection, Autoencoders are the popular methods that reconstruct the input image that might contain anomalies and output a clean image with no abnormalities. These…
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning
Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi +1
Objective: This study aims to establish a generalized transfer-learning framework for boosting the performance of steady-state visual evoked potential (SSVEP)-based brain-computer…
Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces
Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi +1
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have shown its robustness in facilitating high-efficiency communication. State-of-the-art traini…