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2020 – today
- 2024
[j8]Taketo Omi
, Toshiaki Omori:
Probabilistic Estimation and Control of Dynamical Systems Using Particle Filter with Adaptive Backward Sampling. Entropy 26(8): 653 (2024)- 2023
- [c16]Shoi Suzuki, Atsushi Okamoto, Katsuyoshi Michibayashi, Toshiaki Omori:
Three-dimensional Super-resolution of X-ray CT Data of Rock Samples by Sparse Representation Learning. ISMSI 2023: 139-143 - 2022
- [j7]Hiroaki Inoue, Koji Hukushima, Toshiaki Omori:
Estimating Distributions of Parameters in Nonlinear State Space Models with Replica Exchange Particle Marginal Metropolis-Hastings Method. Entropy 24(1): 115 (2022) - 2021
- [j6]Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori:
Data-Driven Analysis of Nonlinear Heterogeneous Reactions through Sparse Modeling and Bayesian Statistical Approaches. Entropy 23(7): 824 (2021) - [c15]Shuhei Fukami, Toshiaki Omori:
Online Bayesian approach for estimation and control of neural system. LifeTech 2021: 94-96 - 2020
- [c14]Moe Yokoi, Toshiaki Omori:
Sparse Modeling Approach for Estimating Odor Pleasantness from Multi-dimensional Sensor Data. LifeTech 2020: 187-188
2010 – 2019
- 2019
- [j5]Toshiaki Omori, Hisashi Naito, Tatsuya Tate:
Eigenvalues of the Laplacian on the Goldberg-Coxeter Constructions for 3- and 4-valent Graphs. Electron. J. Comb. 26(3): 3 (2019) - [j4]Shinya Otsuka, Toshiaki Omori:
Estimation of neuronal dynamics based on sparse modeling. Neural Networks 109: 137-146 (2019) - [c13]Masaki Ito, Tatsu Kuwatani, Ryosuke Oyanagi, Toshiaki Omori:
Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions. ICONIP (2) 2019: 380-391 - [c12]Shuhei Fukami, Toshiaki Omori:
Online Estimation and Control of Neuronal Nonlinear Dynamics Based on Data-Driven Statistical Approach. ICONIP (5) 2019: 600-608 - [c11]Ren Masahiro, Toshiaki Omori:
Sparse Estimation of Neuronal Network Structure with Observed Data. ICONIP (5) 2019: 609-618 - 2018
- [c10]Sangwook Kim, Masahiro Omori, Takuya Hayashi, Toshiaki Omori, Lihua Wang, Seiichi Ozawa:
Privacy-Preserving Naive Bayes Classification Using Fully Homomorphic Encryption. ICONIP (4) 2018: 349-358 - [c9]Jo Takano, Toshiaki Omori:
Harmonic mean similarity based quantum annealing for k-means. INNS Conference on Big Data 2018: 298-305 - 2017
- [j3]M. Kotani, Hisashi Naito, Toshiaki Omori:
A discrete surface theory. Comput. Aided Geom. Des. 58: 24-54 (2017) - [c8]Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa:
t-Distributed stochastic neighbor embedding spectral clustering. IJCNN 2017: 1628-1632 - [c7]Shohei Kuri, Takuya Hayashi, Toshiaki Omori, Seiichi Ozawa, Yoshinori Aono, Le Trieu Phong, Lihua Wang, Shiho Moriai:
Privacy preserving extreme learning machine using additively homomorphic encryption. SSCI 2017: 1-8 - 2016
- [c6]Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa:
t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom. ICONIP (3) 2016: 119-128 - [c5]Narutaka Awaya, Jun Kitazono, Toshiaki Omori, Seiichi Ozawa:
Stochastic collapsed variational Bayesian inference for biterm topic model. IJCNN 2016: 3364-3370 - 2014
- [c4]Toshiaki Omori:
Estimating Nonlinear Spatiotemporal Membrane Dynamics in Active Dendrites. ICONIP (1) 2014: 27-34 - 2013
- [c3]Toshiaki Omori:
Extracting Latent Dynamics from Multi-dimensional Data by Probabilistic Slow Feature Analysis. ICONIP (3) 2013: 108-116 - [c2]Daijiro Aoki, Toshiaki Omori, Seiichi Ozawa:
A robust incremental principal component analysis for feature extraction from stream data with missing values. IJCNN 2013: 1-8 - 2011
- [c1]Munenori Iida, Toshiaki Omori, Toru Aonishi, Masato Okada:
Nonlinear Effect on Phase Response Curve of Neuron Model. ICONIP (3) 2011: 240-250 - 2010
- [j2]Takamasa Tsunoda, Yoshiaki Oda, Toshiaki Omori, Masato Okada, Masashi Inoue, Hiroyoshi Miyakawa, Toru Aonishi:
Statistical Calibration Method for Physiological Ca2+ Fluorescence Signals. Aust. J. Intell. Inf. Process. Syst. 11(1) (2010)
2000 – 2009
- 2009
- [j1]Keisuke Ota, Toshiaki Omori, Toru Aonishi:
MAP estimation algorithm for phase response curves based on analysis of the observation process. J. Comput. Neurosci. 26(2): 185-202 (2009) - 2008
- [i1]Florent Cousseau, Kazushi Mimura, Toshiaki Omori, Masato Okada:
Statistical mechanics of lossy compression for non-monotonic multilayer perceptrons. CoRR abs/0807.4009 (2008)
Coauthor Index
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last updated on 2024-10-23 20:29 CEST by the dblp team
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