| 2016 | ICPR | Simultaneous visualization of samples, features and multi-labels. | Mineichi Kudo, Keigo Kimura, Michal Haindl, Hiroshi Tenmoto |
| 2014 | KES | Signal Learning with Messages by Reinforcement Learning in Multi-agent Pursuit Problem. | Kozue Noro, Hiroshi Tenmoto, Akimoto Kamiya |
| 2008 | SSPR | Soft Feature Selection by Using a Histogram-Based Classifier. | Hiroshi Tenmoto, Mineichi Kudo |
| 2005 | KES | Finding and Auto-labeling of Task Groups on E-Mails and Documents. | Hiroshi Tenmoto, Mineichi Kudo |
| 2004 | SSPR | Classifier-Independent Visualization of Supervised Data Structures Using a Graph. | Hiroshi Tenmoto, Yasukuni Mori, Mineichi Kudo |
| 2000 | SSPR | Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers. | Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo |
| 1999 | KES | Determination of the number of components based on class separability in mixture-based classifiers. | Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo |
| 1998 | ICPR | A subclass-based mixture model for pattern recognition. | Mineichi Kudo, Hiroshi Tenmoto, Satoru Sumiyoshi, Masaru Shimbo |
| 1998 | KES | Appropriate initial component densities of mixture modeling for pattern recognition. | Mineichi Kudo, F. Taniguchi, Hiroshi Tenmoto, Masaru Shimbo |
| 1998 | SSPR | MDL-Based Selection of the Number of Components in Mixture Models for Pattern Classification. | Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo |