| 2022 | SMC | Learning and Estimation of Latent Structural Models Based on between-Data Metrics. | Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa |
| 2017 | ICMLA | Collaborative Filtering Based on the Latent Class Model for Attributes. | Manabu Kobayashi, Kenta Mikawa, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2017 | SMC | Collaborative filtering analysis of consumption behavior based on the latent class model. | Manabu Kobayashi, Kenta Mikawa, Masayuki Goto, Shigeichi Hirasawa |
| 2016 | ISITA | A Bayes prediction algorithm for model class composed of several subclasses. | Masayuki Goto, Manabu Kobayashi, Kenta Mikawa, Shigeichi Hirasawa |
| 2016 | ISITA | Distance metric learning based on different ℓ1 regularized metric matrices in each category. | Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa |
| 2015 | SMC | A Study of Distance Metric Learning by Considering the Distances between Category Centroids. | Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa |
| 2014 | SMC | A modified aspect model for simulation analysis. | Masayuki Goto, Kazushi Minetoma, Kenta Mikawa, Manabu Kobayashi, Shigeichi Hirasawa |
| 2014 | SMC | A proposal of l1 regularized distance metric learning for high dimensional sparse vector space. | Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa |
| 2011 | SMC | A proposal of extended cosine measure for distance metric learning in text classification. | Kenta Mikawa, Takashi Ishida, Masayuki Goto |