Hayato Maki — accepted AI-conference papers

2018

Graph Regularized Tensor Factorization for Single-Trial EEG Analysis

Hayato Maki, Hiroki Tanaka, Sakriani Sakti, Satoshi Nakamura

ICASSP 2018accepted

This study proposes a tensor factorization algorithm for electroencephalographies (EEGs) that incorporates the geometric structure of the electrode location. The purpose is removing noise caused by EEG activities which are irrelevant to stimuli presented to a subject from single-trial event-related…

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2015

EEG signal enhancement using multi-channel wiener filter with a spatial correlation prior

Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura

ICASSP 2015accepted

Event-related potentials (ERPs) of electroencephalogram (EEG) are often used as features for brain machine interfaces or for analysis of brain activities. However, as EEG signals easily suffer from various artifacts, ERPs are often collapsed and hard to observe. There are several attempts at using m…

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