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ORCIDYuki Shinomiya
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2020 – today
- 2024
[j7]Yukinobu Hoshino
, Yuka Nishiyama, Toshimi Yamamoto, Yuki Shinomiya, Namal Rathnayake, Tuan Linh Dang:
Human-inspired similarity control system: Enhancing line-following robot perception. Appl. Soft Comput. 160: 111660 (2024)- 2022
- [j6]Shoya Kusunose, Yuki Shinomiya, Takashi Ushiwaka, Nagamasa Maeda, Yukinobu Hoshino:
Enhancement of the Individual Selectness Using Local Spatial Weighting for Immune Cells. J. Adv. Comput. Intell. Intell. Informatics 26(2): 178-187 (2022) - 2021
- [j5]Lixian Cao, Yanchun Liang, Wei Lv, Kaechang Park, Yasuhiro Miura, Yuki Shinomiya, Shinichi Yoshida:
Relating brain structure images to personality characteristics using 3D convolution neural network. CAAI Trans. Intell. Technol. 6(3): 338-346 (2021) - [j4]Hongtao Zhang, Yuki Shinomiya, Shinichi Yoshida:
3D MRI Reconstruction Based on 2D Generative Adversarial Network Super-Resolution. Sensors 21(9): 2978 (2021) - [c12]Shoya Kusunose, Yuki Shinomiya, Takashi Ushiwaka, Nagamasa Maeda, Yukinobu Hoshino:
Improving Individually Selectness for Immune Cells using GradCAM. CYBCONF 2021: 34-38 - 2020
- [c11]Yuka Nishiyama, Yuki Shinomiya, Toshimi Yamamoto, Yukinobu Hoshino:
Development and validation of the lane-keeping controller using a similarity-type fuzzy reasoning method. FUZZ-IEEE 2020: 1-6 - [c10]Shoya Kusunose, Yuki Shinomiya, Takashi Ushiwaka, Nagamasa Maeda, Yukinobu Hoshino:
Automatic acquisition of immune cells location using deep learning for automated analysis. SCIS/ISIS 2020: 1-4 - [c9]Yuka Nishiyama, Yuki Shinomiya, Toshimi Yamamoto, Yukinobu Hoshino:
Experimental Verification of Control Rules for A Lane-keeping Controller Using Similarity Fuzzy Reasoning. SCIS/ISIS 2020: 1-4 - [c8]Yuichiro Nitta, Yuki Shinomiya, Kaechang Park, Shinichi Yoshida:
A 3D-CNN Classifier for Gender Discrimination from Diffusion Tensor Imaging of Human Brain. SCIS/ISIS 2020: 1-4 - [c7]Hongtao Zhang, Yuki Shinomiya, Shinichi Yoshida:
3D Brain MRI Reconstruction based on 2D Super-Resolution Technology. SMC 2020: 18-23 - [c6]Yasuhiro Miura, Yuki Sawamura, Yuki Shinomiya, Shinichi Yoshida:
Vegetable Mass Estimation based on Monocular Camera using Convolutional Neural Network. SMC 2020: 2106-2112
2010 – 2019
- 2019
- [j3]Yuki Shinomiya, Yukinobu Hoshino:
A Feature Encoding Based on Low Space Complexity Codebook Called Fuzzy Codebook for Image Recognition. Int. J. Fuzzy Syst. 21(1): 274-280 (2019) - 2018
- [c5]Yuka Nishiyama, Yuki Shinomiya, Toshimi Yamamoto, Yukinobu Hoshino:
A Development of a Line-Trace Car with Fuzzy Control of Motor Signals and Performance Evaluation. SCIS&ISIS 2018: 758-761 - 2017
- [j2]Yuki Shinomiya, Yukinobu Hoshino:
A Quantitative Quality Measurement for Codebook in Feature Encoding Strategies. J. Adv. Comput. Intell. Intell. Informatics 21(7): 1232-1239 (2017) - 2016
- [j1]Yuto Yasuoka, Yuki Shinomiya, Yukinobu Hoshino:
Simulation of Human Detection System Using BRIEF and Neural Network. J. Adv. Comput. Intell. Intell. Informatics 20(7): 1159-1164 (2016) - [c4]Yuto Yasuoka, Yuki Shinomiya, Yukinobu Hoshino:
Evaluation of Optimization Methods for Neural Network. SCIS&ISIS 2016: 92-96 - [c3]Yuki Shinomiya, Yukinobu Hoshino:
An Analysis of Dependency of Prior Probability for Codebook-Based Image Representation. SCIS&ISIS 2016: 103-108 - 2015
- [c2]Yuki Shinomiya, Yukinobu Hoshino:
A Feature Encoding Based on Fuzzy Codebook for Large-Scale Image Recognition. SMC 2015: 2908-2913 - 2014
- [c1]Yuki Shinomiya, Yukinobu Hoshino:
Bag of Features Based on Feature Distribution Using Fuzzy C-Means. HCI (26) 2014: 546-550
Coauthor Index
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