30 citations · 82 across the 5 of their papers we have counts for
5 papers
Seismic-phase detection using multiple deep learning models for global and local representations of waveforms
Tomoki Tokuda, Hiromichi Nagao
The detection of earthquakes is a fundamental prerequisite for seismology and contributes to various research areas, such as forecasting earthquakes and understanding the crust/man…
Multiple-view clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization
Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto
In neuroscience, the functional magnetic resonance imaging (fMRI) is a vital tool to non-invasively access brain activity. Using fMRI, the functional connectivity (FC) between brai…
Classes of low-frequency earthquakes based on inter-time distribution reveal a precursor event for the 2011 Great Tohoku Earthquake
Tomoki Tokuda, Hirohiko Shimada
Recently, slow earthquakes (slow EQ) have received much attention relative to understanding the mechanisms underlying large earthquakes and to detecting their precursors. Low-frequ…
Statistical test for detecting community structure in real-valued edge-weighted graphs
Tomoki Tokuda
We propose a novel method to test the existence of community structure of undirected real-valued edge-weighted graph. The method is based on Wigner semicircular law on the asymptot…
Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions
Tomoki Tokuda, Junichiro Yoshimoto, Yu Shimizu +8
We propose a novel method for multiple clustering that assumes a co-clustering structure (partitions in both rows and columns of the data matrix) in each view. The new method is ap…