109 citations · 155 across the 7 of their papers we have counts for
7 papers
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review
Nina Moutonnet, Steven White, Benjamin P Campbell +5
Machine learning algorithms for seizure detection have shown considerable diagnostic potential, with recent reported accuracies reaching 100%. Yet, only few published algorithms ha…
Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network
Taku Shoji, Noboru Yoshida, Toshihisa Tanaka
Electroencephalography (EEG) is essential for the diagnosis of epilepsy, but it requires expertise and experience to identify abnormalities. It is thus crucial to develop automated…
YuruGAN: Yuru-Chara Mascot Generator Using Generative Adversarial Networks With Clustering Small Dataset
Yuki Hagiwara, Toshihisa Tanaka
A yuru-chara is a mascot character created by local governments and companies for publicizing information on areas and products. Because it takes various costs to create a yuruchar…
Eigendecomposition-Free Sampling Set Selection for Graph Signals
Akie Sakiyama, Yuichi Tanaka, Toshihisa Tanaka +1
This paper addresses the problem of selecting an optimal sampling set for signals on graphs. The proposed sampling set selection (SSS) is based on a localization operator that can…
Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI
Yangsong Zhang, Erwei Yin, Fali Li +7
Canonical correlation analysis (CCA) is a state-of-the-art method for frequency recognition in steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) sys…
Generalized Gaussian Kernel Adaptive Filtering
Tomoya Wada, Kosuke Fukumori, Toshihisa Tanaka +1
The present paper proposes generalized Gaussian kernel adaptive filtering, where the kernel parameters are adaptive and data-driven. The Gaussian kernel is parametrized by a center…
Mixed Maps for Kolmogoroff-Nagumo-Type Averaging on the Compact Stiefel Manifold
Simone Fiori, Tetsuya Kaneko, Toshihisa Tanaka
The present research work proposes a new fast fixed-point averaging algorithm on the compact Stiefel manifold based on a mixed retraction/lifting pair. Numerical comparisons betwee…