Author

Mitsuji Muneyasu

Observed names: M MUNEYASU, M. MUNEYASU, M. Muneyasu, MITSUJI MUNEYASU, Mitsuji MUNEYASU, Muneyasu, M., Muneyasu, Mitsuji

Institution: Kansai University

Observed institutions: Hiroshima University, Doshisha University, Oki Electric Industry (Japan), Institute of Electronics, Information and Communication Engineers, Tottori University, Kansai University, Kobe University

ORCID: 0000-0002-4492-5991

Observed ORCID: 0000-0002-4492-5991

OpenAlex ID: A5089184180

Propagation-Based Fake News Detection Using Graph Neural Networks with Transformer

2021 · Hayato Matsumoto, Soh Yoshida, et al. · IEEE Global Conference on Consumer Electronics (GCCE) · 35

Exploiting stance similarity and graph neural networks for fake news detection

2023 · Kayato Soga, Soh Yoshida, et al. · Pattern Recognition Letters · 33

Synthesis of 2-D separable-denominator digital filters with low sensitivity

1992 · Takao Hinamoto, Toshiaki Takao, et al. · Journal of the Franklin Institute · 28

Active noise control system using the simultaneous equation method without the estimation of error path filter coefficients

2002 · Kensaku Fujii, Mitsuji Muneyasu, et al. · Electronics and Communications in Japan (Part III Fundamental Electronic Science) · 25

A new adaptive center weighted median filter using counter propagation networks

2000 · Mitsuji Muneyasu, Nobutaka Nishi, et al. · Journal of the Franklin Institute · 19

A novel 2-D adaptive filter based on the 1-D RLS algorithm

2002 · M. Muneyasu, E. Uemoto, et al. · IEEE International Symposium on Circuits and Systems proceedings · 18

Edge-preserving smoothing by adaptive nonlinear filters based on fuzzy control laws

2002 · M. Muneyasu, Y. Wada, et al. · Proceedings - International Conference on Image Processing · 17

Optimization of gray scale morphological opening for noise removal in texture images

2004 · A. Asano, Y. Kobayashi, et al. · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) · 16

Graph-Based Interpretability for Fake News Detection through Topic- and Propagation-Aware Visualization

2024 · Kayato Soga, Soh Yoshida, et al. · Computation · 15

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Verification of simultaneous equations method by an experimental active noise control system

2006 · Kensaku Fujii, Kotaro Yamaguchi, et al. · Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi · 15

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Primitive and Point Configuration Texture Model and Primitive Estimation Using Mathematical Morphology

2003 · Akira Asano, Takeshi Ohkubo, et al. · Lecture notes in computer science · 15

Application of a frequency domain processing technique to the simultaneous equations method

2003 · Kensaku Fujii, Shigeyuki Hashimoto, et al. · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · 13

A realization of 2-D adaptive filters using affine projection algorithm

1998 · Mitsuji Muneyasu, Takao Hinamoto, et al. · Journal of the Franklin Institute · 13

2-D adaptive state-space filters based on the Fornasini-Marchesini second model

1997 · T. Hinamoto, A. Doi, et al. · IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · 11

Flexible Framework to Provide Explainability for Fake News Detection Methods on Social Media

2022 · Matsumoto Hayato, Soh Yoshida, et al. · IEEE Global Conference on Consumer Electronics (GCCE) · 10

A Method of Football-Offside Detection Using Multiple Cameras for an Automatic Linesman Assistance System

2019 · Sirimamayvadee Siratanita, Kosin Chamnongthai, et al. · Wireless Personal Communications · 10

Improvement of the detection method for carotid artery calcification in dental panoramic radiographs

2009 · Katsuyuki Shinjo, Mitsuji Muneyasu, et al. · International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) · 10

A pipeline architecture of quadratic adaptive Volterra filters based on NLMS algorithm

2002 · T. Harada, M. Muneyasu, et al. · IEEE International Symposium on Circuits and Systems proceedings · 10

Learning from Noisy Labeled Data Using Symmetric Cross-Entropy Loss for Image Classification

2020 · Hiroshi Takeda, Soh Yoshida, et al. · IEEE Global Conference on Consumer Electronics (GCCE) · 8

2-D adaptive state-space digital filters using LMS algorithm

2002 · M. Muneyasu, T. Hinamoto · IEEE International Symposium on Circuits and Systems proceedings · 8

Training Robust Deep Neural Networks on Noisy Labels Using Adaptive Sample Selection With Disagreement

2021 · Hiroshi Takeda, Soh Yoshida, et al. · IEEE Access · 7

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Improved detection method for carotid artery calcification in dental panoramic radiographs considering local features

2013 · Hironori Harada, Mitsuji Muneyasu, et al. · International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) · 7

Fast Information Retrieval Method from Printed Images Considering Mobile Devices

2013 · Aya HIYAMA, Mitsuji MUNEYASU · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · 7

Effectiveness of Multi-step Crossover Fusions in genetic programming

2012 · Yoshiko Hanada, Nagahiro Hosokawa, et al. · IEEE Congress on Evolutionary Computation (CEC) · 7

Information embedding to the printing images based on DCT

2004 · Yoichiro Horiuchi, Mitsuji Muneyasu · International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) · 7

Works count: 396

Citation count: 700

H-index: 13

I10-index: 18