Author

Satoshi Fujii

Kyushu Institute of TechnologyORCID 0000-0002-3341-8644Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Sho TsukiyamaiD· 2 shared Hiroyuki KurataiD· 1 shared Md Mehedi HasaniD· 1 shared Saori Kudo· 1 shared Sei‐ichiro KamataiD· 1 shared Shunsuke Aoki· 1 shared Tatsuro Yata· 1 shared Toshimasa Yamazaki· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersNeuroscience

Sho TsukiyamaORCID

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2 papers

Recent·Most cited

Mora-ERP-based RNN-Transformer for decoding single-trial EEGs during silent Japanese speeches

Toshimasa Yamazaki, Saori Kudo, Sei‐ichiro Kamata, Satoshi Fujii, Sho Tsukiyama, Tatsuro Yata, Shunsuke Aoki

This paper develops an RNN-Transformer model to decode single-trial EEGs during silent Japanese speeches with low error rates.

bioRxiv · Nov 18, 2024 · PreprintNeuroscience

LSTM-PHV: Prediction of human-virus protein-protein interactions by LSTM with word2vec

Sho Tsukiyama, Md Mehedi Hasan, Satoshi Fujii, Hiroyuki Kurata

The paper introduces LSTM-PHV, a sequence-based model predicting human-virus protein-protein interactions using LSTM and word2vec, achieving high accuracy on imbalanced data.

Briefings in Bioinformatics · May 25, 2021Peer-reviewedBioinformatics