| 2025 | IJCNN | Online Learning Approach for Rough Set C-Means Clustering Using Nodes Approximating the Data Distribution. | Seiki Ubukata, Ryoga Hanafusa, Katsuhiro Honda |
| 2025 | KES | Comparative Study on Influences of False Negative Ratings in Collaborative Filtering with Fuzzy Co-Clustering. | Katsuhiro Honda, Jun-Seo Lee, Seiki Ubukata, Akira Notsu |
| 2025 | KES | Distribution-Guided Hybridization of JADE and Nelder-Mead for Efficient Global Optimization under Evaluation Constraints. | Yuta Takahashi, Akira Notsu, Katsuhiro Honda |
| 2024 | CEC | Control of JADE Population in Limited Number of Searches for Realistic Situations. | Tomoya Matsuki, Akira Notsu, Katsuhiro Honda, Takuya Kato, Masakazu Shibahara |
| 2024 | ICMLC | Spherical Rough C-Means Clustering and Its Application to Collaborative Filtering. | Seiki Ubukata, Daiki Io, Katsuhiro Honda |
| 2024 | ICMLC | Federated Rough C-Means Clustering and Its Application to Collaborative Filtering. | Seiki Ubukata, Shuichiro Yamashita, Katsuhiro Honda |
| 2024 | IJCNN | FCM-Induced Switching Reinforcement Learning for Collaborative Learning. | Katsuhiro Honda, Taimu Yaotome, Seiki Ubukata, Akira Notsu |
| 2022 | IJCNN | A Noise Clustering-induced Robust Adaptive Network-based Fuzzy Inference System for Classification. | Katsuhiro Honda, Koki Kitamori, Seiki Ubukata, Akira Notsu |
| 2021 | EUSFLAT | Fuzzy Clustering-based Switching Non-negative Matrix Factorization and Its Application to Environmental Data Analysis. | Katsuhiro Honda, T. Furukawa, Seiki Ubukata, Akira Notsu |
| 2021 | KES | Fuzzy | Katsuhiro Honda, Kohei Kunisawa, Seiki Ubukata, Akira Notsu |
| 2020 | CEC | Proposal of Adaptive Randomness in Differential Evolution. | Junya Tsubamoto, Akira Notsu, Seiki Ubukata, Katsuhiro Honda |
| 2018 | MDAI | Privacy Preserving Collaborative Fuzzy Co-clustering of Three-Mode Cooccurrence Data. | Katsuhiro Honda, Shotaro Matsuzaki, Seiki Ubukata, Akira Notsu |
| 2018 | SMC | Optimization of Learning Cycles in Online Reinforcement Learning Systems. | Akira Notsu, Koji Yasuda, Seiki Ubukata, Katsuhiro Honda |
| 2017 | IFSA | Visual assessment of co-cluster structure through cooccurrence-sensitive ordering. | Katsuhiro Honda, Takuya Sako, Seiki Ubukata, Akira Notsu |
| 2017 | IFSA | A novel approach to noise clustering in multivariate fuzzy c-Means. | Katsuhiro Honda, Seiki Ubukata, Akira Notsu |
| 2017 | IFSA | Possibilistic co-clustering based on extension of noise rejection scheme in FCCMM. | Seiki Ubukata, Katsuya Koike, Akira Notsu, Katsuhiro Honda |
| 2016 | IJCNN | MMMs-induced k-member co-clustering for k-anonymization of cooccurrence information. | Katsuhiro Honda, Hikaru Sakamoto, Seiki Ubukata, Akira Notsu |
| 2015 | ICMLA | Performance Investigation of UCB Policy in Q-learning. | Koki Saito, Akira Notsu, Seiki Ubukata, Katsuhiro Honda |
| 2014 | GRC | Item membership fuzzification in fuzzy co-clustering based on multinomial mixture concept. | Katsuhiro Honda, Shunnya Oshio, Akira Notsu |
| 2014 | ISDA | Application of xie-beni-type validity index to fuzzy co-clustering models based on cluster aggregation and pseudo-cluster-center estimation. | Mai Muranishi, Katsuhiro Honda, Akira Notsu |
| 2013 | ICONIP | Applicability of ICA-Based Dimension Reduction in Fuzzy c-Means-Based Classifier. | Takuya Kobayashi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi |
| 2013 | KES | A Greedy Algorithm for k-Member Co-clustering and its Applicability to Collaborative Filtering. | Arina Kawano, Katsuhiro Honda, Hirohide Kasugai, Akira Notsu |
| 2013 | KES | Intergration of Information based on the Similarity in AHP. | Akira Notsu, Hirokazu Kawakami, Yuki Tezuka, Katsuhiro Honda |
| 2013 | KES | Dual Exclusive Partition in Fuzzy CoDoK and SCAD-based Fuzzy Co-clustering. | Chi-Hyon Oh, Katsuhiro Honda |
| 2013 | KES | Introduction of Majority Vote of Neighborhood Conditions for Sneak form Reinforcement Learning. | Yuki Tezuka, Akira Notsu, Katsuhiro Honda |
| 2011 | ICMLA | Simple Reinforcement Learning for Small-Memory Agent. | Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori |
| 2011 | ICMLA | Improvement of Particle Filter for Reinforcement Learning. | Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori, Yuuki Iwamoto |
| 2011 | ICMLA | Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion. | Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi |
| 2009 | MDAI | PCA-Guided | Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi |
| 2008 | CEC | Agent-based social simulation based on cognitive economic efficiency. | Yu Yamamoto, Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda |
| 2008 | GRC | A Perceptual Approach to User Clustering in Collaborative Filtering. | Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi |
| 2008 | IJCNN | A new approach to robust k-Means clustering based on fuzzy principal component analysis. | Katsuhiro Honda, Hiromichi Araki, Tomohiro Matsui, Hidetomo Ichihashi |
| 2008 | IJCNN | State and action space segmentation algorithm in Q-learning. | Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda |
| 2007 | CIDM | Post-supervised Fuzzy c-Means Classifier with Hard Clustering. | Hidetomo Ichihashi, Katsuhiro Honda, Naho Kuwamoto, Takao Hattori |
| 2007 | CIDM | Fuzzy c-Means Classifier for Relational Data. | Hidetomo Ichihashi, Katsuhiro Honda, Yasuhiro Kuramoto, Fumiaki Matsuura |
| 2006 | SMC | A Sequential Learning Algorithm for Collaborative Filtering With Linear Fuzzy Clustering. | Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu |
| 2006 | SMC | Agent-Based Simulation About Social Value Emergence Based on Perceptual Balance. | Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda |
| 2005 | MDAI | A New Approach to Fuzzification of Memberships in Cluster Analysis. | Katsuhiro Honda, Hidetomo Ichihashi |
| 2005 | MDAI | Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals. | Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi |
| 2003 | IJCNN | Robust local principal component analyzer with fuzzy clustering. | Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi |
| 2003 | IJCNN | A unified view of probabilistic PCA and regularized linear fuzzy clustering. | Yoshio Mori, Katsuhiro Honda, Akihiro Kanda, Hidetomo Ichihashi |
| 2000 | IJCNN | Parameter Specification for Fuzzy Clustering by Q-Learning. | Chi-Hyon Oh, Eriko Ikeda, Katsuhiro Honda, Hidetomo Ichihashi |
| 2000 | IJCNN | Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables. | Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hidetomo Ichihashi |