Hongtao Zhang, Yuki Shinomiya, Shinichi Yoshida, "3D MRI Reconstruction based on 2D Convolutional Neural-Network Super-Resolution Technology," Sensors, 2021, refereed. (in press)
Lixian Cao, Yanchun Liang, Wei Lv, Kaechang Park, Yasuhiro Miura, Yuki Shinomiya, and Shinichi Yoshida, "Relating brain structure images to personality characteristics using 3D convolution neural network," CAAI Transaction on Intelligence Technology, pp. 1 – 9, 2021, refereed.
楠瀬 翔也, 四宮 友貴, 牛若 昂志, 前田 長正, 星野 孝総, "免疫細胞の自動解析に向けた深層学習による解析対象の自動指定," 知能と情報 (日本知能情報ファジィ学会誌), vol. 33 (1), pp. 1--6, 2021.
Yuki Shinomiya and Yukinobu Hoshino, "A feature encoding based on low space complexity codebook called fuzzy codebook for image recognition," International Journal of Fuzzy Systems, vol. 21 (1), pp. 274--280, 2019.
Yuki Shinomiya and Yukinobu Hoshino, "A proposal of prior probability-oriented clustering in feature encoding strategies," PLOS ONE, vol. 14 (1), 2019.
Yuki Shinomiya and Yukinobu Hoshino, "A quantitative quality measurement for codebook in feature encoding strategies," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 21, pp. 1232--1239, 2017.
Yuto Yasuoka, Yuki Shinomiya, and Yukinobu Hoshino, "Simulation of human detection system using BRIEF and neural network," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 20, pp. 1159--1164, 2016.
Shoya Kusunose, Yuki Shinomiya, Takashi Ushiwaka, Nagamasa Maeda, and Yukinobu Hoshino "Improving Individually Selectness for Immune Cells using GradCAM," IEEE CYBCONF, 2021.
Shoya Kusunose, Yuki Shinomiya, Takashi Ushiwaka, Nagamasa Maeda, and Yukinobu Hoshino "Automatic acquisition of immune cells location using deep learning for automated analysis," IEEE Joint 11th International Conference on Soft Computing and Intelligent Systems (SCIS) and 21th International Symposium on Advanced Intelligent Systems (ISIS), 2020.
Yuka Nishiyama, Yuki Shinomiya, Toshimi Yamamoto, and Yukinobu Hoshino, "Experimental verification of control rules for a lane-keeping controller using similarity fuzzy reasoning," IEEE Joint 11th International Conference on Soft Computing and Intelligent Systems (SCIS) and 21th International Symposium on Advanced Intelligent Systems (ISIS), 2020.
Yuichiro Nitta, Yuki Shinomiya, Kaechang Park, Shinichi Yoshida, "A 3D-CNN Classifier for Gender Discrimination from Diffusion Tensor Imaging of Human Brain," Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020.
Yuka Nishiyama, Yuki Shinomiya, Toshimi Yamamoto, and Yukinobu Hoshino, "Development and validation of the lane-keeping controller using a similarity-type fuzzy reasoning method," IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020.
Yasuhiro Miura, Yuki Sawamura, Yuki Shinomiya, and Shinichi Yoshida, "Vegetable mass estimation based on monocular camera using convolutional neural network," IEEE International Conference on Systems, Man, and Cybernetics, 2020.
Hongtao Zhang, Yuki Shinomiya, and Shinichi Yoshida, "3D brain MRI reconstruction based on 2D super-resolution technology," IEEE International Conference on Systems, Man, and Cybernetics, BMI Workshop: New Trends in Neural Interfacing, 2020.
Yuki Shinomiya, Rina Nakayama, and Shinichi Yoshida, "Time-Series Feature Representation on Brain Decoding from Visual Stimuli," The 6th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, 2019.
Yuka Nishiyama, Yuki Shinomiya, Toshimi Yamamoto, and Yukinobu Hoshino, "A development of a line-trace car with fuzzy control of motor signals and performance evaluation," IEEE Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018.
Yuki Shinomiya, Hiroomi Okada, and Yukinobu Hoshino, "A hand tracking framework based on probabilistic models for hand gestures," The 8th International Symposium on Computational Intelligence and Industrial Applications, 2018.
Yuto Yasuoka, Yuki Shinomiya, and Yukinobu Hoshino, "Evaluation of optimization methods for neural network," IEEE Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016.
Yuki Shinomiya and Yukinobu Hoshino, "An analysis of dependency of prior probability for codebook-based image representation," IEEE Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016.
Yuki Shinomiya and Yukinobu Hoshino, "A feature encoding based on fuzzy codebook for large-scale image recognition," IEEE International Conference on Systems, Man, and Cybernetics, 2015.
Yuto Yasuoka, Yuki Shinomiya, and Yukinobu Hoshino, "Development of human detection system by BRIEF," The 16th International Symposium on Advanced Intelligent Systems, 2015.
Yuki Shinomiya, Yukinobu Hoshino, "A validation of feature encoding based on fuzzy codebook with online classifier," The 16th International Symposium on Advanced Intelligent Systems, 2015.
Yuki Shinomiya and Yukinobu Hoshino, "Local feature selection by visual saliency and its embedding to image representation," IEEE Joint 7th International Conference on Soft Computing Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems, 2014.
Yuki Shinomiya and Yukinobu Hoshino, "Bag of features based on feature distribution using fuzzy c-means," Communications in Computer and Information Science, 2014.
楠瀬 翔也, 四宮 友貴, 牛若 昂志, 前田 長正, 星野 孝総, "深層学習を用いた免疫細胞の自動追跡手法の提案," 第33 回バイオメディカル・ファジィ・システム学会年次大会, 2020.
楠瀬 翔也, 四宮 友貴, 牛若 昂志, 前田 長正, 星野 孝総, "深層学習による免疫細胞の追跡と活動量の測定," IEEE SMC Hiroshima Chapter 若手研究会, 2020.
西山 由華, 四宮 友貴, 山本 利水, 星野 孝総, "類似性ファジィ推論を用いた白線追従制御器の推論ルール数の検証," 第36 回ファジィシステムシンポジウム, 2020.
楠瀬 翔也, 四宮 友貴, 牛若 昂志, 前田 長正, 星野 孝総, "免疫細胞の自動解析に向けた深層学習による解析対象の自動指定," 第36 回ファジィシステムシンポジウム, 2020.
西山 由華, 四宮 友貴, 山本 利水, 星野 孝総, "類似度ファジィ推論を用いたライントレースカーの開発," Vision Engineering Workshop, 2020. (refereed)
新田 雄一郎, Zhang Hongtao, 四宮 友貴, 吉田 真一, "マルチアングル2D超解像技術に基づく3DMRI 画像再構成の評価," IEEE SMC Hiroshima Chapter 若手研究会, 2019.
三浦 康寛, 佐々木 泰一, 四宮 友貴, 吉田 真一, "視覚刺激における畳み込みニューラルネットワークを用いた脳活動信号からの感情予測," IEEE SMC Hiroshima Chapter若手研究会, 2019.
四宮 友貴, 星野 孝総, "画像認識における定量評価法に基づいたクラスタリング手法の提案," IEEE SMC Hiroshima Chapter 若手研究会, 2018.
四宮 友貴, "看護師勤務表問題における遺伝的アルゴリズムの適用と一考察," 平成29年度高知大学&高知工科大学&高知県立大学医工連携交流会, 2018.
安岡 優斗, 四宮 友貴, 星野 孝総, "局所特徴量を用いた人検出システムのFPGA化に向けたシミュレーション," SOFT 九州支部中国・四国支部合同支部大会, 2015.
安岡 優斗, 四宮 友貴, 星野 孝総, "Neural Network を用いた学習・識別性能テスト," 第31 回ファジィシステムシンポジウム, 2015.
四宮 友貴, 星野 孝総, "画像認識におけるFisher Vector のパラメータ化の検証," 第31回ファジィシステムシンポジウム, 2015.
高見 太郎, 松島 冬季, 四宮 友貴, 三谷 慶太, 星野 孝総, "タッチパネルシステムを用いた自発的リハビリテーション用空間の開発," 第30 回ファジィシステムシンポジウム, 2014.
四宮 友貴, 岡田 浩臣, 星野 孝総, "ハンドジェスチャのための手検出システムの開発," 第30 回ファジィシステムシンポジウム, 2014 年.
星野 孝総, 安岡 優斗, 服部 綾乃, 四宮 友貴, "遺伝的アルゴリズムの看護師勤務表作成問題への適用と一考察," 高知工科大学紀要, 2014.
四宮 友貴, 星野 孝総, "一般物体認識における可能性ファジィクラスタリングを用いた画像表現モデル," 第30 回ファジィシステムシンポジウム, 2014.
Yuki Shinomiya, Yukinobu Hoshino, "Interactive image retrieval system using sketch," 平成25 年度電気関係学会四国支部連合大会, 2013.
Yuki Shinomiya, "A Quantitative Measurement of Codebook and its Specialized Clustering Framework for Image Representation Strategies," Doctoral Thesis, Kochi University of Technology, 2018.
四宮 友貴, "バイリニアプーリング(Bilinear Pooling)," 知能と情報 (日本知能情報学会誌), 用語解説, vol. 32, No. 6, p. 200, 2020.
四宮友貴, 星野 孝総, 吉田 真一, "大規模データにおける特徴量エンジニアリングと深層学習の関連性について," 第35 回ファジィシステムシンポジウム, 特別講演, 2019.
四宮 友貴, 吉田 真一, "深層学習・Soft Computingによる画像認識について," Next次世代型施設園芸技術フェア, 2019.
四宮 友貴, "FSS2014 開催報告," 日本知能情報学会誌知能と情報, 報告記事, vol. 27 (2), pp. 59-–60, 2015.
Good Moderator Award, Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020.
IEEE Computational Intelligence Society Japan Chapter Young Researcher Award, An analysis of dependency of prior probability for codebook-based image representation, 2016.