| 2024 | IJCNN | Multiclass piecewise-linear SVMs based on division of data space for determining the reinforcement degrees of large-scale structures. | Keiji Tatsumi, Satoshi Maruyama, Yeboon Yun |
| 2021 | SMC | Multiclass Support Vector Machines for Determination of Reinforcement Degree in Constructing Large-scale Structures Based on Data Characteristics. | Keiji Tatsumi, Ryota Masui, Shunsuke Tsujioka, Yoshifumi Kusunoki, Yeboon Yun |
| 2020 | SMC | Chaotic particle swarm optimization using a rotation transformation based on two best solutions. | Nao Kinoshita, Keiji Tatsumi |
| 2020 | SMC | Manifold Learning with Intrinsic Distance Estimation Using Kernelized Linear Model for Metric Tensors. | Katsuhiko Kojima, Yoshifumi Kusunoki, Keiji Tatsumi |
| 2019 | EUSFLAT | Scalarization for Approximate Multiobjective Multiclass Support Vector Machine Using the Large-k Norm. | Yoshifumi Kusunoki, Keiji Tatsumi |
| 2018 | SMC | Approximate Multiobjective Multiclass SVM by Using the Reference Point Method. | Yasuhiro Matsugi, Takafumi Sugimoto, Yuxiao Qi, Yoshifumi Kusunoki, Keiji Tatsumi |
| 2018 | SMC | Modified Perturbation-Based Chaotic System Using the Quasi-Newton Method with the Symmetric Rank-One Formula for Global Optimization. | Keiji Tatsumi |
| 2017 | ICONIP | A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering. | Keiji Tatsumi, Yuki Kawashita, Takahumi Sugimoto |
| 2017 | IFSA | A calibration with an adaptive data selection based on Bayes estimation for a successive stochastic approximation ADC system. | Keiji Tatsumi, Toshimasa Matsuoka, Sadahiro Tani |
| 2017 | IFSA | Learning prototype-based classifiers by margin maximization. | Chiharu Wakou, Yoshifumi Kusunoki, Keiji Tatsumi |
| 2015 | SMC | Chaotic Multi-swarm Particle Swarm Optimization Using Combined Quartic Functions. | Keiji Tatsumi, Takeru Ibuki, Tetsuzo Tanino |
| 2013 | SMC | Improved Chaotic Particle Swarm Optimization with a Perturbation-Based Chaotic System for a Virtual Quartic Function. | Keiji Tatsumi, Takeru Ibuki, Satoshi Nakashima, Tetsuzo Tanino |
| 2012 | SMC | Chaotic particle swarm optimization with an intensive search around the personal and global bests. | Keiji Tatsumi, Takeru Ibuki, Tetsuzo Tanino |
| 2011 | IJCNN | Nonlinear extension of multiobjective multiclass support vector machine based on the one-against-all method. | Keiji Tatsumi, Masato Tai, Tetsuzo Tanino |
| 2010 | IJCNN | Multiobjective multiclass support vector machine based on the one-against-all method. | Keiji Tatsumi, Masato Tai, Tetsuzo Tanino |
| 2010 | SMC | Nonlinear extension of multiobjective multiclass Support Vector Machine. | Keiji Tatsumi, Ryo Kawachi, Tetsuzo Tanino |
| 2009 | MDAI | Multiobjective Multiclass Soft-Margin Support Vector Machine and Its Solving Technique Based on Benson's Method. | Keiji Tatsumi, Ryo Kawachi, Kenji Hayashida, Tetsuzo Tanino |
| 2009 | SMC | Restarting Multi-type Particle Swarm Optimization Using an Adaptive Selection of Particle Type. | Keiji Tatsumi, Takashi Yukami, Tetsuzo Tanino |
| 2008 | ICONIP | Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-Wise Interclass Margins. | Keiji Tatsumi, Ryo Kawachi, Kenji Hayashida, Tetsuzo Tanino |