A proposal of SIRMs model with linear transformation of input variables. - Hirofumi Miyajima; Noritaka Shigei; Hiromi Miyajima (SCIS&ISIS, 2014)

SIRMs Fuzzy Inference Model with Linear Transformation of Input Variables and Universal Approximation. - Hirofumi Miyajima; Noritaka Shigei; Hiromi Miyajima (IWANN (1), 2015)

Performance Comparison of Hybrid Electromagnetism-Like Mechanism Algorithms with Descent Method. - Hirofumi Miyajima; Noritaka Shigei; Hiromi Miyajima (J. Artif. Intell. Soft Comput. Res., 2015)

The Ability of Learning Algorithms for Fuzzy Inference Systems Using Vector Quantization. - Hirofumi Miyajima; Noritaka Shigei; Hiromi Miyajima (ICONIP (4), 2016)

System identifications by SIRMs models with linear transformation of input variables. - Hirofumi Miyajima; Noritaka Shigei; Hiromi Miyajima (Artif. Intell. Res., 2016)

Bio-information inference platform using underwear-type wearable device. - Toru Kobayashi; Kenichi Arai; Hirofumi Miyajima; Wataru Tarumi; Hirokazu Doi; Kazuyuki Shinohara (ICCE-Berlin, 2017)

New privacy preserving clustering methods for secure multiparty computation. - Hirofumi Miyajima; Noritaka Shigei; Hiromi Miyajima; Yohtaro Miyanishi; Shinji Kitagami; Norio Shiratori (Artif. Intell. Res., 2017)

A proposal of privacy preserving reinforcement learning for secure multiparty computation. - Hirofumi Miyajima; Noritaka Shigei; Syunki Makino; Hiromi Miyajima; Yohtaro Miyanishi; Shinji Kitagami; Norio Shiratori (Artif. Intell. Res., 2017)

Proposal of security preserving machine learning of IoT. - Hirofumi Miyajima; Norio Shiratori; Hiromi Miyajima (Artif. Intell. Res., 2018)

Fast and Secure Back-Propagation Learning Using Vertically Partitioned Data with IoT. - Hirofumi Miyajima; Hiromi Miyajima; Norio Shiratori (CANDAR Workshops, 2019)

Personal Identification by Learning-Based Integration of Facial and Clothes Similarities. - Ryota Yamaguchi; Noritaka Shigei; Hirofumi Miyajima; Hiromi Miyajima (GCCE, 2020)

Self-driving model car acquiring three-point turn motion by using improved LSTM model. - Ryo Fukuoka; Noritaka Shigei; Hirofumi Miyajima; Yoshihiro Nakamura; Hiromi Miyajima (Artif. Life Robotics, 2021)

Learning algorithms for vector quantization using vertically partitioned data with IoT. - Hirofumi Miyajima; Noritaka Shigei; Hiromi Miyajima; Norio Shiratori (Artif. Life Robotics, 2021)

Secure Distributed Processing of NG with Updatable Decomposition Data and Parameters. - Hirofumi Miyajima; Noritaka Shigei; Hiromi Miyajima; Norio Shiratori (NaNA, 2022)

Toward the development of learning methods with distributed processing using securely divided data. - Hirofumi Miyajima; Noritaka Shigei; Hiromi Miyajima; Norio Shiratori (Comput. Electr. Eng., 2025)