A successive projection method for binary pattern recognition with multilayer feedforward neural networks. - Keiji Tatsumi; Masao Fukushima (Int. J. Syst. Sci., 1996)

Cooperative fuzzy games extended from ordinary cooperative games with restrictions on coalitions. - Atsushi Moritani; Tetsuzo Tanino; Keiji Tatsumi (Kybernetika, 2006)

Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-Wise Interclass Margins. - Keiji Tatsumi; Ryo Kawachi; Kenji Hayashida; Tetsuzo Tanino (ICONIP (1), 2008)

Improved Projection Hopfield Network for the Quadratic Assignment Problem. - Keiji Tatsumi; Tetsuzo Tanino (Int. J. Inf. Technol. Decis. Mak., 2008)

Multiobjective Multiclass Soft-Margin Support Vector Machine and Its Solving Technique Based on Benson's Method. - Keiji Tatsumi; Ryo Kawachi; Kenji Hayashida; Tetsuzo Tanino (MDAI, 2009)

Restarting Multi-type Particle Swarm Optimization Using an Adaptive Selection of Particle Type. - Keiji Tatsumi; Takashi Yukami; Tetsuzo Tanino (SMC, 2009)

Multiobjective multiclass support vector machine based on the one-against-all method. - Keiji Tatsumi; Masato Tai; Tetsuzo Tanino (IJCNN, 2010)

Nonlinear extension of multiobjective multiclass Support Vector Machine. - Keiji Tatsumi; Ryo Kawachi; Tetsuzo Tanino (SMC, 2010)

Nonlinear extension of multiobjective multiclass support vector machine based on the one-against-all method. - Keiji Tatsumi; Masato Tai; Tetsuzo Tanino (IJCNN, 2011)

Chaotic particle swarm optimization with an intensive search around the personal and global bests. - Keiji Tatsumi; Takeru Ibuki; Tetsuzo Tanino (SMC, 2012)

Improved Chaotic Particle Swarm Optimization with a Perturbation-Based Chaotic System for a Virtual Quartic Function. - Keiji Tatsumi; Takeru Ibuki; Satoshi Nakashima; Tetsuzo Tanino (SMC, 2013)

A chaotic particle swarm optimization exploiting a virtual quartic objective function based on the personal and global best solutions. - Keiji Tatsumi; Takeru Ibuki; Tetsuzo Tanino (Appl. Math. Comput., 2013)

A sufficient condition for Chaos in the Gradient Model with perturbation Method for Global Optimization. - Keiji Tatsumi; Tetsuzo Tanino (Int. J. Bifurc. Chaos, 2013)

Row and Column Generation Algorithm for Maximization of Minimum Margin for Ranking Problems. - Yoichi Izunaga; Keisuke Sato; Keiji Tatsumi; Yoshitsugu Yamamoto (OR, 2014)

Chaotic Multi-swarm Particle Swarm Optimization Using Combined Quartic Functions. - Keiji Tatsumi; Takeru Ibuki; Tetsuzo Tanino (SMC, 2015)

Particle swarm optimization with stochastic selection of perturbation-based chaotic updating system. - Keiji Tatsumi; Takeru Ibuki; Tetsuzo Tanino (Appl. Math. Comput., 2015)

A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering. - Keiji Tatsumi; Yuki Kawashita; Takahumi Sugimoto (ICONIP (1), 2017)

A calibration with an adaptive data selection based on Bayes estimation for a successive stochastic approximation ADC system. - Keiji Tatsumi; Toshimasa Matsuoka; Sadahiro Tani (IFSA-SCIS, 2017)

Learning prototype-based classifiers by margin maximization. - Chiharu Wakou; Yoshifumi Kusunoki; Keiji Tatsumi (IFSA-SCIS, 2017)

An analog front-end employing 87 dB SNDR stochastic SAR-ADC for a biomedical sensor. - Takatsugu Kamata; Masayuki Ueda; Yusaku Hirai; Sadahiro Tani; Tomohiro Asano; Shodai Isami; Toshifumi Kurata; Keiji Tatsumi; Toshimasa Matsuoka (NEWCAS, 2017)

Behavior-Level Analysis of a Successive Stochastic Approximation Analog-to-Digital Conversion System for Multi-Channel Biomedical Data Acquisition. - Sadahiro Tani; Toshimasa Matsuoka; Yusaku Hirai; Toshifumi Kurata; Keiji Tatsumi; Tomohiro Asano; Masayuki Ueda; Takatsugu Kamata (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

A Weaker Sufficient Condition for the Chaoticity of Extended Perturbation-Based Updating System for Global Optimization. - Keiji Tatsumi (Int. J. Bifurc. Chaos, 2017)

A Perturbation Based Chaotic System Exploiting the Quasi-Newton Method for Global Optimization. - Keiji Tatsumi; Tetsuzo Tanino (Int. J. Bifurc. Chaos, 2017)

A Multi-class Support Vector Machine Based on Geometric Margin Maximization. - Yoshifumi Kusunoki; Keiji Tatsumi (IUKM, 2018)

Approximate Multiobjective Multiclass SVM by Using the Reference Point Method. - Yasuhiro Matsugi; Takafumi Sugimoto; Yuxiao Qi; Yoshifumi Kusunoki; Keiji Tatsumi (SMC, 2018)

Modified Perturbation-Based Chaotic System Using the Quasi-Newton Method with the Symmetric Rank-One Formula for Global Optimization. - Keiji Tatsumi (SMC, 2018)

Maximum-Margin Model for Nearest Prototype Classifiers. - Yoshifumi Kusunoki; Chiharu Wakou; Keiji Tatsumi (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Scalarization for Approximate Multiobjective Multiclass Support Vector Machine Using the Large-k Norm. - Yoshifumi Kusunoki; Keiji Tatsumi (EUSFLAT Conf., 2019)

Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering. - Keiji Tatsumi; Takahumi Sugimoto; Yoshifumi Kusunoki (IUKM, 2019)

A Biomedical Sensor System With Stochastic A/D Conversion and Error Correction by Machine Learning. - Yusaku Hirai; Toshimasa Matsuoka; Sadahiro Tani; Shodai Isami; Keiji Tatsumi; Masayuki Ueda; Takatsugu Kamata (IEEE Access, 2019)

A Software Level Calibration Based on Bayesian Regression for a Successive Stochastic Approximation Analog-to-Digital Converter System. - Keiji Tatsumi; Toshimasa Matsuoka (IEEE Trans. Cybern., 2019)

Chaotic particle swarm optimization using a rotation transformation based on two best solutions. - Nao Kinoshita; Keiji Tatsumi (SMC, 2020)

Manifold Learning with Intrinsic Distance Estimation Using Kernelized Linear Model for Metric Tensors. - Katsuhiko Kojima; Yoshifumi Kusunoki; Keiji Tatsumi (SMC, 2020)

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 (SMC, 2021)

Transductive Learning Based on Low-Rank Representation with Convex Constraints. - Yoshifumi Kusunoki; Katsuhiko Kojima; Keiji Tatsumi (IUKM, 2022)

Shift-invariant grey wolf optimizer exploiting reference points and random selection of step-sizes. - Keiji Tatsumi; Nao Kinoshita (SICE, 2022)

Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines. - Keiji Tatsumi; Shunsuke Tsujioka; Ryota Masui; Yoshifumi Kusunoki; Yeboon Yun (Knowl. Based Syst., 2022)

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 (IJCNN, 2024)

Multiclass piecewise-linear SVMs with the restricted feasible region for the reinforcement degrees in constructing large-scale structures. - Keiji Tatsumi; Ryota Masui; Haruhisa Miyahara; Yeboon Yun (Knowl. Based Syst., 2024)

Multi-class support vector machine based on minimization of reciprocal-geometric-margin norms. - Yoshifumi Kusunoki; Keiji Tatsumi (Eur. J. Oper. Res., 2025)