Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume. - Yoshito Otake; Kohei Miyamoto; Axel Ollivier; Futoshi Yokota; Norio Fukuda; Lauren J. O'Donnell; Carl-Fredrik Westin; Masaki Takao; Nobuhiko Sugano; Beom Sun Chung; Jin-Seo Park; Yoshinobu Sato (MSKI@MICCAI, 2017)

Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families. - Kohei Miyamoto; Andrew R. Barron; Jun'ichi Takeuchi (ISIT, 2019)

On MDL Estimation for Simple Contaminated Gaussian Location Families. - Kohei Miyamoto; Jun'ichi Takeuchi (ISITA, 2020)

Malicious Packet Classification Based on Neural Network Using Kitsune Features. - Kohei Miyamoto; Hiroki Goto; Ryosuke Ishibashi; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (ISPR, 2022)

Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems. - Ryosuke Ishibashi; Kohei Miyamoto; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (IEEE Access, 2022)

Numerical optimization of baffle configuration in header of heat exchanger using sequential approximate optimization. - Satoshi Kitayama; Kohei Miyamoto; Rihito Izutsu; Satoshi Tabuchi; Sayaka Yamada (Simul. Model. Pract. Theory, 2022)

Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads. - Shota Kawanaka; Yoshikatsu Kashiwabara; Kohei Miyamoto; Masazumi Iida; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (AsiaJCIS, 2023)

Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach. - Kohei Miyamoto; Masazumi Iida; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (IEEE Access, 2023)

Improved MDL Estimators Using Fiber Bundle of Local Exponential Families for Non-exponential Families. - Kohei Miyamoto; Andrew R. Barron; Jun'ichi Takeuchi (CoRR, 2023)

Intrusion Detection Simplified: A Feature-free Approach to Traffic Classification Using Transformers. - Kohei Miyamoto; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (ACSAC Workshops, 2024)