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Publications
- Awards
- Journal Papers
- Conferences
- Tutorial Papers
Awards
Japanese Journal of Statistics and Data Science, Best Presentation Award (2016). Japanese Society of Applied Statistics, Encouragement Paper Award (2016).
Journal Papers
- Shibue, R., & Komaki, F. (2020). Deconvolution of calcium imaging data using marked point processes. PLoS Computational Biology, 16.
- Shibue, R., & Komaki, F. (2017). Firing rate estimation using infinite mixture models and its application to neural decoding. Journal of neurophysiology, 118 5, 2902-2913 .
- Shibue, R., & Takemura, A. (2015). An Extended Power Model for Point Processes in a Finite Interval and its Application to Bid Arrival Processes of Online Auctions. Japanese Journal of Applied Statistics, 44, 89-100.
Conferences
- Nakano, M., Sakuma, H., Nishikimi, R., Shibue, R., Sato, T., Iwata, T., & Kashino, K. (2024). Warped Diffusion for Latent Differentiation Inference. International Conference on Artificial Intelligence and Statistics.
- Nakano, M., Shibue, R., & Kashino, K. (2024). Sunflower Strategy for Bayesian Relational Data Analysis. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
- Shibue, R., Nakano, M., Iwata, T., Kashino, K., & Tomoike, H. (2021). Unsupervised Heart Sound Decomposition and State Estimation with Generative Oscillation Models. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 5481-5487.
- Nakano, M., Shibue, R., Kashino, K., Tsukada, S., & Tomoike, H. (2021). Gaussian process with physical laws for 3D cardiac modeling. 2020 28th European Signal Processing Conference (EUSIPCO), 1452-1456.
Tutorial Papers
- Kashino, K., Shibue, R., & Tsukada, S. (2022). Personal Heart Modeling Using Mobile Sensing. NTT Technical Review.
- Nakano, M., Shibue, R., Kashino, K., Tsukada, S., & Ogasawara, T. (2021). New Technology for Measurement and Analysis of Biological Sounds and Electrocardiographic Signals--Toward Early Detection of Heart Disease and Rehabilitation by Using Personal Heart Modeling. NTT Technical Review.