Noboru Murata

2023

Multi-Objective Topology Optimization of Synchronous Reluctance Motor Using Response Surface Approximation Derived by Deep Learning

Shigematsu, H., Wakao, S., Murata, N., Makino, H., Takeuchi, K. & Matsushita, M., 2023 1月, In: IEEJ Transactions on Electrical and Electronic Engineering. 18, 1, p. 120-128 9 p.

研究成果 › 査読

2022

Detecting cell assemblies by NMF-based clustering from calcium imaging data

Nagayama, M., Aritake, T., Hino, H., Kanda, T., Miyazaki, T., Yanagisawa, M., Akaho, S. & Murata, N., 2022 5月, In: Neural Networks. 149, p. 29-39 11 p.

研究成果: Article › 査読

Open Access

3 被引用数 (Scopus)

Geometry of EM and related iterative algorithms

Hino, H., Akaho, S. & Murata, N., 2022, (Accepted/In press) In: Information Geometry.

研究成果 › 査読

Open Access

Topology optimization in magnetic shield design by using density method in combination with CNN

Isshiki, R., Kawamata, R., Wakao, S. & Murata, N., 2022, (Accepted/In press) In: COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering.

研究成果 › 査読

2021

Fast and robust multiplane single-molecule localization microscopy using a deep neural network

Aritake, T., Hino, H., Namiki, S., Asanuma, D., Hirose, K. & Murata, N., 2021 9月 3, In: Neurocomputing. 451, p. 279-289 11 p.

研究成果 › 査読

Open Access

Fast Multi-Objective Optimization of Magnetic Shield Shape by Combining Auto-Encoder and Level-Set Method

Oda, K., Kawamata, R., Wakao, S. & Murata, N., 2021 7月, In: IEEE Transactions on Magnetics. 57, 7, 9408617.

研究成果: Article › 査読

4 被引用数 (Scopus)

2019

Information geometry of modal linear regression

Sando, K., Akaho, S., Murata, N. & Hino, H., 2019 6月 1, In: Information Geometry. 2, 1, p. 43-75 33 p.

研究成果 › 査読

Open Access

4 被引用数 (Scopus)

Transport analysis of infinitely deep neural network

Sonoda, S. & Murata, N., 2019 2月 1, In: Journal of Machine Learning Research. 20, p. 1-52 52 p.

研究成果 › 査読

13 被引用数 (Scopus)

2018

Distributed energy management for comprehensive utilization of residential photovoltaic outputs

Fujimoto, Y., Kikusato, H., Yoshizawa, S., Kawano, S., Yoshida, A., Wakao, S., Murata, N., Amano, Y., Tanabe, S. I. & Hayashi, Y., 2018, In: IEEE Transactions on Smart Grid. 9, 2, p. 1216-1227 12 p.

研究成果: Article › 査読

42 被引用数 (Scopus)

EEG dipole source localization with information criteria for multiple particle filters

Sonoda, S., Nakamura, K., Kaneda, Y., Hino, H., Akaho, S., Murata, N., Miyauchi, E. & Kawasaki, M., 2018 12月, In: Neural Networks. 108, p. 68-82 15 p.

研究成果 › 査読

4 被引用数 (Scopus)

Estimation of neural connections from partially observed neural spikes

Iwasaki, T., Hino, H., Tatsuno, M., Akaho, S. & Murata, N., 2018 12月, In: Neural Networks. 108, p. 172-191 20 p.

研究成果 › 査読

1 被引用数 (Scopus)

2017

Double sparsity for multi-frame super resolution

Kato, T., Hino, H. & Murata, N., 2017 5月 31, In: Neurocomputing. 240, p. 115-126 12 p.

研究成果 › 査読

14 被引用数 (Scopus)

Neural network with unbounded activation functions is universal approximator

Sonoda, S. & Murata, N., 2017 9月, In: Applied and Computational Harmonic Analysis. 43, 2, p. 233-268 36 p.

研究成果 › 査読

Open Access

125 被引用数 (Scopus)

Time-varying transition probability matrix estimation and its application to brand share analysis

Chiba, T., Hino, H., Akaho, S. & Murata, N., 2017 1月, In: PloS one. 12, 1, e0169981.

研究成果 › 査読

Open Access

6 被引用数 (Scopus)

2016

Optical detection of neuron connectivity by random access two-photon microscopy

Shafeghat, N., Heidarinejad, M., Murata, N., Nakamura, H. & Inoue, T., 2016 4月 1, In: Journal of Neuroscience Methods. 263, p. 48-56 9 p.

研究成果 › 査読

6 被引用数 (Scopus)

2015

Change-Point Detection in a Sequence of Bags-of-Data

Koshijima, K., Hino, H. & Murata, N., 2015 10月 1, In: IEEE Transactions on Knowledge and Data Engineering. 27, 10, p. 2632-2644 13 p., 7095580.

研究成果 › 査読

2 被引用数 (Scopus)

mmpp: A package for calculating similarity and distance metrics for simple and marked temporal point processes

Hino, H., Takano, K. & Murata, N., 2015, In: R Journal. 7, 2, p. 237-248 12 p.

研究成果 › 査読

4 被引用数 (Scopus)

Multi-frame image super resolution based on sparse coding

Kato, T., Hino, H. & Murata, N., 2015 6月 1, In: Neural Networks. 66, p. 64-78 15 p.

研究成果 › 査読

30 被引用数 (Scopus)

Non-parametric entropy estimators based on simple linear regression

Hino, H., Koshijima, K. & Murata, N., 2015 9月, In: Computational Statistics and Data Analysis. 89, p. 72-84 13 p., 6063.

研究成果 › 査読

8 被引用数 (Scopus)

2014

Gray-box modeling for prediction and control of molten steel temperature in tundish

Ahmad, I., Kano, M., Hasebe, S., Kitada, H. & Murata, N., 2014 4月, In: Journal of Process Control. 24, 4, p. 375-382 8 p.

研究成果 › 査読

35 被引用数 (Scopus)

Prediction of molten steel temperature in steel making process with uncertainty by integrating gray-box model and bootstrap filter

Ahmad, I., Kano, M., Hasebe, S., Kitada, H. & Murata, N., 2014, In: JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 47, 11, p. 827-834 8 p.

研究成果 › 査読

11 被引用数 (Scopus)

2013

A comparison of optimal operation of a residential fuel cell co-generation system using clustered demand patterns based on Kullback-Leibler divergence

Yoshida, A., Amano, Y., Murata, N., Ito, K. & Hasizume, T., 2013 1月, In: Energies. 6, 1, p. 374-399 26 p.

研究成果: Article › 査読

10 被引用数 (Scopus)

A versatile clustering method for electricity consumption pattern analysis in households

Hino, H., Shen, H., Murata, N., Wakao, S. & Hayashi, Y., 2013, In: IEEE Transactions on Smart Grid. 4, 2, p. 1048-1057 10 p., 6484217.

研究成果 › 査読

53 被引用数 (Scopus)

Entropy-based sliced inverse regression

Hino, H., Wakayama, K. & Murata, N., 2013, In: Computational Statistics and Data Analysis. 67, p. 105-114 10 p.

研究成果 › 査読

5 被引用数 (Scopus)

High-performance prediction of molten steel temperature in tundish through gray-box model

Okura, T., Ahmad, I., Kano, M., Hasebe, S., Kitada, H. & Murata, N., 2013, In: isij international. 53, 1, p. 76-80 5 p.

研究成果 › 査読

17 被引用数 (Scopus)

Information estimators for weighted observations

Hino, H. & Murata, N., 2013 10月, In: Neural Networks. 46, p. 260-275 16 p.

研究成果 › 査読

9 被引用数 (Scopus)

Learning ancestral atom via sparse coding

Aritake, T., Hino, H. & Murata, N., 2013, In: IEEE Journal on Selected Topics in Signal Processing. 7, 4, p. 586-594 9 p., 6412707.

研究成果 › 査読

3 被引用数 (Scopus)

Regions of unusually high flexibility occur frequently in human genomic DNA

Kimura, H., Kageyama, D., Furuya, M., Sugiyama, S., Murata, N. & Ohyama, T., 2013, In: Bioscience, Biotechnology and Biochemistry. 77, 3, p. 612-617 6 p.

研究成果 › 査読

1 被引用数 (Scopus)

2012

A generalisation of independence in statistical models for categorical distribution

Fujimoto, Y. & Murata, N., 2012, In: International Journal of Data Mining, Modelling and Management. 4, 2, p. 172-187 16 p.

研究成果 › 査読

4 被引用数 (Scopus)

A statistical model for predicting the liquid steel temperature in ladle and tundish by bootstrap filter

Sonoda, S., Murata, N., Hino, H., Kitada, H. & Kano, M., 2012, In: isij international. 52, 6, p. 1086-1091 6 p.

研究成果: Article › 査読

22 被引用数 (Scopus)

Multiple kernel learning with gaussianity measures

Hino, H., Reyhani, N. & Murata, N., 2012, In: Neural Computation. 24, 7, p. 1853-1881 29 p.

研究成果 › 査読

5 被引用数 (Scopus)

2010

Stochastic simulation of biological reactions, and its applications for studying actin polymerization

Ichikawa, K., Suzuki, T. & Murata, N., 2010 12月, In: Physical Biology. 7, 4, 046010.

研究成果 › 査読

4 被引用数 (Scopus)

2008

Neuromagnetic responses to chords are modified by preceding musical scale

Otsuka, A., Kuriki, S., Murata, N. & Hasegawa, T., 2008 1月, In: Neuroscience Research. 60, 1, p. 50-55 6 p.

研究成果 › 査読

5 被引用数 (Scopus)

Robust boosting algorithm against mislabeling in multiclass problems

Takenouchi, T., Eguchi, S., Murata, N. & Kanamori, T., 2008 6月, In: Neural Computation. 20, 6, p. 1596-1630 35 p.

研究成果 › 査読

18 被引用数 (Scopus)

2007

A modified em algorithm for mixture models based on Bregman divergence

Fujimoto, Y. & Murata, N., 2007 3月 1, In: Annals of the Institute of Statistical Mathematics. 59, 1, p. 3-25 23 p.

研究成果 › 査読

11 被引用数 (Scopus)

Robust loss functions for boosting

Kanamori, T., Takenouchi, T., Eguchi, S. & Murata, N., 2007 8月, In: Neural Computation. 19, 8, p. 2183-2244 62 p.

研究成果 › 査読

37 被引用数 (Scopus)

Tutorial series on brain-inspired computing part 6: Geometrical structure of boosting algorithm

Kanamori, T., Takenouchi, T. & Murata, N., 2007 1月 24, In: New Generation Computing. 25, 1, p. 117-141 25 p.

研究成果 › 査読

1 被引用数 (Scopus)

2005

A gaussian process robust regression

Murata, N. & Kuroda, Y., 2005, In: Progress of Theoretical Physics Supplement. 157, p. 280-283 4 p.

研究成果 › 査読

Open Access

Geometrical properties of Nu support vector machines with different norms

Ikeda, K. & Murata, N., 2005 11月 1, In: Neural Computation. 17, 11, p. 2508-2529 22 p.

研究成果 › 査読

20 被引用数 (Scopus)

2004

Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC

Park, H., Murata, N. & Amari, S. I., 2004 2月 1, In: Neural Computation. 16, 2, p. 355-382 28 p.

研究成果 › 査読

13 被引用数 (Scopus)

Information geometry of U-Boost and Bregman divergence

Murata, N., Takenouchi, T., Kanamori, T. & Eguchi, S., 2004 7月 1, In: Neural Computation. 16, 7, p. 1437-1481 45 p.

研究成果 › 査読

126 被引用数 (Scopus)

2003

A robust approach to independent component analysis of signals with high-level noise measurements

Cao, J., Murata, N., Amari, S. I., Cichocki, A. & Takeda, T., 2003 5月, In: IEEE Transactions on Neural Networks. 14, 3, p. 631-645 15 p.

研究成果: Article › 査読

63 被引用数 (Scopus)

2002

Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization

Cao, J., Murata, N., Amari, S. I., Cichocki, A. & Takeda, T., 2002 12月, In: Neurocomputing. 49, 1-4, p. 255-277 23 p.

研究成果 › 査読

42 被引用数 (Scopus)

On-line learning in changing environments with applications in supervised and unsupervised learning

Murata, N., Kawanabe, M., Ziehe, A., Müller, K. R. & Amari, S. I., 2002 6月, In: Neural Networks. 15, 4-6, p. 743-760 18 p.

研究成果 › 査読

45 被引用数 (Scopus)

2001

An approach to blind source separation based on temporal structure of speech signals

Murata, N., Ikeda, S. & Ziehe, A., 2001, In: Neurocomputing. 41, 1-4, p. 1-24 24 p.

研究成果: Article › 査読

430 被引用数 (Scopus)

Multiplicative nonholonomic/Newton-like algorithm

Akuzawa, T. & Murata, N., 2001 1月 3, In: Chaos, solitons and fractals. 12, 4, p. 785-793 9 p.

研究成果 › 査読

8 被引用数 (Scopus)

Sequential extraction of minor components

Chen, T., Amari, S. I. & Murata, N., 2001 6月, In: Neural Processing Letters. 13, 3, p. 195-201 7 p.

研究成果 › 査読

18 被引用数 (Scopus)

Support vector machines with different norms: Motivation, formulations and results

Pedroso, J. P. & Murata, N., 2001, In: Pattern Recognition Letters. 22, 12, p. 1263-1272 10 p.

研究成果 › 査読

32 被引用数 (Scopus)

2000

Single-trial magnetoencephalographic data decomposition and localization based on independent component analysis approach

Cao, J., Murata, N., Amari, S. I., Cichocki, A., Takeda, T., Endo, H. & Harada, N., 2000 1月 1, In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E83-A, 9, p. 1757-1765 9 p.

研究成果 › 査読

14 被引用数 (Scopus)

1999

Statistical analysis of learning dynamics

Murata, N. & Amari, S. I., 1999 4月, In: Signal Processing. 74, 1, p. 3-28 26 p.

研究成果 › 査読

28 被引用数 (Scopus)

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