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Yoh-ichi Mototake

Observed names: MOTOTAKE, Yoh-ichi, Mototake, Yoh-ichi, Y Mototake, Y. Mototake, Yoh-Ichi Mototake, Yoh-ichi MOTOTAKE
ORCID: 0000-0002-6044-1620
Observed ORCID: 0000-0002-6044-1620
OpenAlex ID: A5041154469
A universal Bayesian inference framework for complicated creep constitutive equations
2020 · Yoh-ichi Mototake, Hitoshi Izuno, et al. · Scientific Reports · 33
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Bayesian Spectral Deconvolution Based on Poisson Distribution: Bayesian Measurement and Virtual Measurement Analytics (VMA)
2019 · Kenji Nagata, Rei Muraoka, et al. · Journal of the Physical Society of Japan · 29
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Interpretable conservation law estimation by deriving the symmetries of dynamics from trained deep neural networks
2021 · Yoh-ichi Mototake · Physical review. E · 27
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Finding continuity and discontinuity in fish schools via integrated information theory
2020 · Takayuki Niizato, Kotaro Sakamoto, et al. · PLoS ONE · 27
Bayesian Hamiltonian Selection in X-ray Photoelectron Spectroscopy
2019 · Yoh-ichi Mototake, Masaichiro Mizumaki, et al. · Journal of the Physical Society of Japan · 27
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Life as an emergent phenomenon: studies from a large-scale boid simulation and web data
2017 · Takashi Ikegami, Yoh-ichi Mototake, et al. · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 25
Development of spectral decomposition based on Bayesian information criterion with estimation of confidence interval
2020 · Hiroshi Shinotsuka, Kenji Nagata, et al. · Science and Technology of Advanced Materials · 24
Data-based selection of creep constitutive models for high-Cr heat-resistant steel
2020 · Hitoshi Izuno, Masahiko Demura, et al. · Science and Technology of Advanced Materials · 12
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Information structure of heterogeneous criticality in a fish school
2024 · Takayuki Niizato, Kotaro Sakamoto, et al. · Scientific Reports · 11
Four-Types of IIT-Induced Group Integrity of Plecoglossus altivelis
2020 · Takayuki Niizato, Kotaro Sakamoto, et al. · Entropy · 9
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Quantitative prediction of fracture toughness (KIc) of polymer by fractography using deep neural networks
2022 · Y. Mototake, K. Ito, et al. · Science and Technology of Advanced Materials Methods · 7
Semi-flat minima and saddle points by embedding neural networks to overparameterization
2019 · Fukumizu, Kenji, Yamaguchi, Shoichiro, et al. · arXiv (Cornell University) · 7
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Descriptor extraction on inherent creep strength of carbon steel by exhaustive search
2021 · Junya Sakurai, Masahiko Demura, et al. · Science and Technology of Advanced Materials Methods · 6
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Spectral Deconvolution through Bayesian LARS-OLS
2018 · Yoh-ichi Mototake, Yasuhiko Igarashi, et al. · Journal of the Physical Society of Japan · 6
Comparison of neuronal responses in primate inferior-temporal cortex and feed-forward deep neural network model with regard to information processing of faces
2021 · Narihisa Matsumoto, Yoh-ichi Mototake, et al. · Journal of Computational Neuroscience · 5
Procedure to reveal the mechanism of pattern formation process by topological data analysis
2024 · Yoh-ichi Mototake, Masaichiro Mizumaki, et al. · Physica D Nonlinear Phenomena · 4
Zero-dimensional modeling of drift wave turbulence by using Bayesian regression
2025 · M Sasaki, Y Mototake, et al. · Plasma Physics and Controlled Fusion · 3
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Natural language processing-based topic models for analyzing trends in polymer science
2025 · Yoshifumi Amamoto, Yoh-ichi Mototake, et al. · Polymer Journal · 3
Search for high-creep-strength welding conditions considering HAZ shape factors for 2 1/4Cr–1Mo steel
2024 · Hitoshi Izuno, Masahiko Demura, et al. · Welding in the World · 2
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Quantifying physical insights cooperatively with exhaustive search for Bayesian spectroscopy of X-ray photoelectron spectra
2023 · Hiroyuki Kumazoe, Kazunori Iwamitsu, et al. · Scientific Reports · 2
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Dynamics-Based Intrinsic Signal Model for High-Dimensional, Small-Sample Data
2023 · Mototake, Yoh-ichi, Taguchi, Y-h. · arXiv (Cornell University) · 2
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Algebraic Geometrical Analysis of Metropolis Algorithm When Parameters Are Non-identifiable
2024 · Nagata, Kenji, Mototake, Yoh-ichi · arXiv (Cornell University) · 1
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Correction to: Search for high-creep-strength welding conditions considering HAZ shape factors for 2 1/4Cr–1Mo steel
2024 · Hitoshi Izuno, Masahiko Demura, et al. · Welding in the World · 1
Autoregressive With Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series
2024 · Akifumi Okuno, Yuya Morishita, et al. · IEEE Access · 1
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Topological Data Analysis of Domain Pattern Formation in Materials
2021 · Yoh-ichi MOTOTAKE, Masaichiro MIZUMAKI, et al. · Journal of Smart Processing · 1
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Works count: 45
Citation count: 280
H-index: 9
I10-index: 9
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