| MIMII Dataset: Sound dataset for malfunctioning industrial machine investigation and inspection H Purohit, R Tanabe, K Ichige, T Endo, Y Nikaido, K Suefusa, ... arXiv preprint arXiv:1909.09347, 2019 | 382 | 2019 |
| Description and discussion on DCASE2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring Y Koizumi, Y Kawaguchi, K Imoto, T Nakamura, Y Nikaido, R Tanabe, ... arXiv preprint arXiv:2006.05822, 2020 | 261 | 2020 |
| Anomalous sound detection based on interpolation deep neural network K Suefusa, T Nishida, H Purohit, R Tanabe, T Endo, Y Kawaguchi ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 174 | 2020 |
| A comparison study of visually stimulated brain–computer and eye-tracking interfaces K Suefusa, T Tanaka Journal of neural engineering 14 (3), 036009, 2017 | 40 | 2017 |
| Asynchronous brain–computer interfacing based on mixed-coded visual stimuli K Suefusa, T Tanaka IEEE Transactions on Biomedical Engineering 65 (9), 2119-2129, 2017 | 37 | 2017 |
| Neural entrainment to auditory imagery of rhythms H Okawa, K Suefusa, T Tanaka Frontiers in human neuroscience 11, 493, 2017 | 32 | 2017 |
| Deep autoencoding GMM-based unsupervised anomaly detection in acoustic signals and its hyper-parameter optimization H Purohit, R Tanabe, T Endo, K Suefusa, Y Nikaido, Y Kawaguchi arXiv preprint arXiv:2009.12042, 2020 | 28 | 2020 |
| MIMII Dataset: Sound dataset for malfunctioning industrial machine investigation and inspection. arXiv 2019 H Purohit, R Tanabe, K Ichige, T Endo, Y Nikaido, K Suefusa, ... arXiv preprint arXiv:1909.09347, 0 | 15 | |
| Reduced calibration by efficient transformation of templates for high speed hybrid coded SSVEP brain-computer interfaces K Suefusa, T Tanaka 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 13 | 2017 |
| Phase-based detection of intentional state for asynchronous brain-computer interface K Suefusa, T Tanaka 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 9 | 2015 |
| MIMII Dataset: Sound dataset for malfunctioning industrial machine investigation and inspection. arXiv H Purohit, R Tanabe, K Ichige, T Endo, Y Nikaido, K Suefusa, ... arXiv preprint arXiv:1909.09347, 2019 | 7 | 2019 |
| Waveform-based multi-stimulus coding for brain-computer interfaces based on steady-state visual evoked potentials Y Tanji, M Nakanishi, K Suefusa, T Tanaka 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 6 | 2018 |
| Visually stimulated brain-computer interfaces compete with eye tracking interfaces when using small targets K Suefusa, T Tanaka 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 6 | 2014 |
| Decoding of responses to mixed frequency and phase coded visual stimuli using multiset canonical correlation analysis K Suefusa, T Tanaka 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 4 | 2016 |
| Dcase 2020 challenge task 2 development dataset Y Koizumi, Y Kawaguchi, K Imoto, T Nakamura, Y Nikaido, R Tanabe, ... (No Title), 2020 | 3 | 2020 |
| Abnormality detection apparatus and abnormality detection method Y Kawaguchi, K Suefusa US Patent App. 17/188,001, 2021 | | 2021 |
| Ground Truth for DCASE 2020 Challenge Task 2 Evaluation Dataset Y Koizumi, Y Kawaguchi, K Imoto, T Nakamura, Y Nikaido, R Tanabe, ... (No Title), 2020 | | 2020 |
| DCASE 2020 Challenge Task 2 Evaluation Dataset Y Koizumi, Y Kawaguchi, K Imoto, T Nakamura, Y Nikaido, R Tanabe, ... (No Title), 2020 | | 2020 |
| Brain–machine interfacing based on visual stimuli K Suefusa 東京農工大学, 2019 | | 2019 |
| Decoding of Rhythm Imagery from EEG H Okawa, K Suefusa, T Tanaka IEICE Technical Report; IEICE Tech. Rep. 116 (95), 161-166, 2016 | | 2016 |
