Kaori Suefusa
Orcid: 0000-0002-3303-9935
According to our database1,
Kaori Suefusa
authored at least 11 papers
between 2014 and 2020.
Collaborative distances:
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Bibliography
2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Deep Autoencoding GMM-Based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-Parameter Optimization.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020
2019
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection.
CoRR, 2019
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019
2018
IEEE Trans. Biomed. Eng., 2018
Waveform-Based Multi-Stimulus Coding for Brain-Computer Interfaces Based on Steady-State Visual Evoked Potentials.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Reduced calibration by efficient transformation of templates for high speed hybrid coded SSVEP brain-computer interfaces.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Decoding of responses to mixed frequency and phase coded visual stimuli using multiset canonical correlation analysis.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Phase-based detection of intentional state for asynchronous brain-computer interface.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
Visually stimulated brain-computer interfaces compete with eye tracking interfaces when using small targets.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014