| EEG SIGNAL ENHANCEMENT USING MULTI-CHANNEL WIENER FILTER WITH A SPATIAL CORRELATION PRIOR H Maki, T Toda, S Sakti, G Neubig, S Nakamura Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 0 | 26* | |
| Electroencephalogram-based single-trial detection of language expectation violations in listening to speech H Tanaka, H Watanabe, H Maki, S Sakriani, S Nakamura Frontiers in computational neuroscience 13, 15, 2019 | 17 | 2019 |
| Graph regularized tensor factorization for single-trial EEG analysis H Maki, H Tanaka, S Sakti, S Nakamura 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 12 | 2018 |
| Quality prediction of synthesized speech based on tensor structured EEG signals H Maki, S Sakti, H Tanaka, S Nakamura PloS one 13 (6), e0193521, 2018 | 10 | 2018 |
| Enhancing Event-Related Potentials Based on Maximum a Posteriori Estimation with a Spatial Correlation Prior H MAKI, T TODA, S SAKTI, G NEUBIG, S NAKAMURA IEICE TRANSACTIONS on Information and Systems 99 (6), 1437-1446, 2016 | 4 | 2016 |
| Single-trial detection of semantic anomalies from EEG during listening to spoken sentences H Tanaka, H Watanabe, H Maki, S Sakti, S Nakamura 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 3 | 2018 |
| An Evaluation of EEG Ocular Artifact Removal with a Multi-channel Wiener Filter Based on Probabilistic Generative Model H Maki, T Toda, S Sakti, G Neubig, S Nakamura Proc. Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 | 3 | 2015 |
| Removing noise from event-related potentials using a probabilistic generative model with grouped covariance matrices H Maki, T Toda, S Sakti, G Neubig, S Nakamura 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 1 | 2016 |
| Probabilistic enhancement of EEG components using prior information of componentrelated spatial correlation H Maki, T Toda, S Sakti, G Neubig, S Nakamura Proc. Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014 | 1 | 2014 |
| Noise-Removal From Electroencephalographies Toward Single-Trial Cognitive State Analysis H Maki Nara Institute of Science and Technology, 2018 | | 2018 |
| Tensor Factorization with Graph Structure for EEG Analysis H Maki, H Tanaka, S Sakti, S Nakamura IEICE Technical Report; IEICE Tech. Rep. 117 (507), 35-39, 2018 | | 2018 |
| Prediction of subjective rating values using EEG H Maki, S Sakti, H Tanaka, S Nakamura IEICE Technical Report; IEICE Tech. Rep. 117 (507), 113-118, 2018 | | 2018 |
| Discrimination of semantic violations from single trial EEG during listening to spoken sentences H Tanaka, H Watanabe, H Maki, S SAKTI, S Nakamura 電子情報通信学会技術研究報告 117 (375 (HIP2017 81-92)), 5-8, 2017 | | 2017 |
| Enhancement of Target Components in EEG Signals Based on A Probabilistic Generative Model Using Spatial Correlation Prior H Maki Nara Institute of Science and Technology, 2015 | | 2015 |
| Probabilistic Enhancement of EEG Component Using Prior Distribution of Correlations Between Channels H Maki, T Toda, S Sakti, G Neubig, S Nakamura IEICE Technical Report; IEICE Tech. Rep. 114 (104), 237-242, 2014 | | 2014 |
| ੜ׆ श׳ ମ࣭ͷσʔλΛ༻ ͍ͨͭ ͷ༧ଌ S Yamaguchi, H Tanaka, H Maki, S Kanaya, N Suzuki, S Nakamura | | |
| Prediction of Depressive Tendency from Multidimensional Health Data Collected through Crowdsourcing S Yamaguchi, H Tanaka, H Maki, S Kanaya12, N Suzuki, S Nakamura12 | | |
Satoshi NakamuraNara Institute of Science and TechnologyVerified email at is.naist.jp
