Keiji Tatsumi - RankMe

40 papers B 14Journal 15Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multi-class support vector machine based on minimization of reciprocal-geometric-margin norms. Eur. J. Oper. Res. Yoshifumi Kusunoki, Keiji Tatsumi
2024	B	`conf`	Multiclass piecewise-linear SVMs based on division of data space for determining the reinforcement degrees of large-scale structures. IJCNN Keiji Tatsumi, Satoshi Maruyama, Yeboon Yun
2024	J	`jnl`	Multiclass piecewise-linear SVMs with the restricted feasible region for the reinforcement degrees in constructing large-scale structures. Knowl. Based Syst. Keiji Tatsumi, Ryota Masui, Haruhisa Miyahara, Yeboon Yun
2022	J	`jnl`	Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines. Knowl. Based Syst. Keiji Tatsumi, Shunsuke Tsujioka, Ryota Masui, Yoshifumi Kusunoki, Yeboon Yun
2022	—	`conf`	Shift-invariant grey wolf optimizer exploiting reference points and random selection of step-sizes. SICE Keiji Tatsumi, Nao Kinoshita
2022	—	`conf`	Transductive Learning Based on Low-Rank Representation with Convex Constraints. IUKM Yoshifumi Kusunoki, Katsuhiko Kojima, Keiji Tatsumi
2021	B	`conf`	Multiclass Support Vector Machines for Determination of Reinforcement Degree in Constructing Large-scale Structures Based on Data Characteristics. SMC Keiji Tatsumi, Ryota Masui, Shunsuke Tsujioka, Yoshifumi Kusunoki, Yeboon Yun
2020	B	`conf`	Chaotic particle swarm optimization using a rotation transformation based on two best solutions. SMC Nao Kinoshita, Keiji Tatsumi
2020	B	`conf`	Manifold Learning with Intrinsic Distance Estimation Using Kernelized Linear Model for Metric Tensors. SMC Katsuhiko Kojima, Yoshifumi Kusunoki, Keiji Tatsumi
2019	J	`jnl`	A Biomedical Sensor System With Stochastic A/D Conversion and Error Correction by Machine Learning. IEEE Access Yusaku Hirai, Toshimasa Matsuoka, Sadahiro Tani, Shodai Isami, Keiji Tatsumi, Masayuki Ueda, Takatsugu Kamata
2019	J	`jnl`	A Software Level Calibration Based on Bayesian Regression for a Successive Stochastic Approximation Analog-to-Digital Converter System. IEEE Trans. Cybern. Keiji Tatsumi, Toshimasa Matsuoka
2019	—	`conf`	Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering. IUKM Keiji Tatsumi, Takahumi Sugimoto, Yoshifumi Kusunoki
2019	—	`conf`	Scalarization for Approximate Multiobjective Multiclass Support Vector Machine Using the Large-k Norm. EUSFLAT Conf. Yoshifumi Kusunoki, Keiji Tatsumi
2018	—	`conf`	A Multi-class Support Vector Machine Based on Geometric Margin Maximization. IUKM Yoshifumi Kusunoki, Keiji Tatsumi
2018	B	`conf`	Approximate Multiobjective Multiclass SVM by Using the Reference Point Method. SMC Yasuhiro Matsugi, Takafumi Sugimoto, Yuxiao Qi, Yoshifumi Kusunoki, Keiji Tatsumi
2018	J	`jnl`	Maximum-Margin Model for Nearest Prototype Classifiers. J. Adv. Comput. Intell. Intell. Informatics Yoshifumi Kusunoki, Chiharu Wakou, Keiji Tatsumi
2018	B	`conf`	Modified Perturbation-Based Chaotic System Using the Quasi-Newton Method with the Symmetric Rank-One Formula for Global Optimization. SMC Keiji Tatsumi
2017	—	`conf`	A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering. ICONIP (1) Keiji Tatsumi, Yuki Kawashita, Takahumi Sugimoto
2017	J	`jnl`	A Perturbation Based Chaotic System Exploiting the Quasi-Newton Method for Global Optimization. Int. J. Bifurc. Chaos Keiji Tatsumi, Tetsuzo Tanino
2017	J	`jnl`	A Weaker Sufficient Condition for the Chaoticity of Extended Perturbation-Based Updating System for Global Optimization. Int. J. Bifurc. Chaos Keiji Tatsumi
2017	—	`conf`	A calibration with an adaptive data selection based on Bayes estimation for a successive stochastic approximation ADC system. IFSA-SCIS Keiji Tatsumi, Toshimasa Matsuoka, Sadahiro Tani
2017	—	`conf`	An analog front-end employing 87 dB SNDR stochastic SAR-ADC for a biomedical sensor. NEWCAS Takatsugu Kamata, Masayuki Ueda, Yusaku Hirai, Sadahiro Tani, Tomohiro Asano, Shodai Isami, Toshifumi Kurata, Keiji Tatsumi, Toshimasa Matsuoka
2017	J	`jnl`	Behavior-Level Analysis of a Successive Stochastic Approximation Analog-to-Digital Conversion System for Multi-Channel Biomedical Data Acquisition. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Sadahiro Tani, Toshimasa Matsuoka, Yusaku Hirai, Toshifumi Kurata, Keiji Tatsumi, Tomohiro Asano, Masayuki Ueda, Takatsugu Kamata
2017	—	`conf`	Learning prototype-based classifiers by margin maximization. IFSA-SCIS Chiharu Wakou, Yoshifumi Kusunoki, Keiji Tatsumi
2015	B	`conf`	Chaotic Multi-swarm Particle Swarm Optimization Using Combined Quartic Functions. SMC Keiji Tatsumi, Takeru Ibuki, Tetsuzo Tanino
2015	J	`jnl`	Particle swarm optimization with stochastic selection of perturbation-based chaotic updating system. Appl. Math. Comput. Keiji Tatsumi, Takeru Ibuki, Tetsuzo Tanino
2014	—	`conf`	Row and Column Generation Algorithm for Maximization of Minimum Margin for Ranking Problems. OR Yoichi Izunaga, Keisuke Sato, Keiji Tatsumi, Yoshitsugu Yamamoto
2013	J	`jnl`	A chaotic particle swarm optimization exploiting a virtual quartic objective function based on the personal and global best solutions. Appl. Math. Comput. Keiji Tatsumi, Takeru Ibuki, Tetsuzo Tanino
2013	J	`jnl`	A sufficient condition for Chaos in the Gradient Model with perturbation Method for Global Optimization. Int. J. Bifurc. Chaos Keiji Tatsumi, Tetsuzo Tanino
2013	B	`conf`	Improved Chaotic Particle Swarm Optimization with a Perturbation-Based Chaotic System for a Virtual Quartic Function. SMC Keiji Tatsumi, Takeru Ibuki, Satoshi Nakashima, Tetsuzo Tanino
2012	B	`conf`	Chaotic particle swarm optimization with an intensive search around the personal and global bests. SMC Keiji Tatsumi, Takeru Ibuki, Tetsuzo Tanino
2011	B	`conf`	Nonlinear extension of multiobjective multiclass support vector machine based on the one-against-all method. IJCNN Keiji Tatsumi, Masato Tai, Tetsuzo Tanino
2010	B	`conf`	Multiobjective multiclass support vector machine based on the one-against-all method. IJCNN Keiji Tatsumi, Masato Tai, Tetsuzo Tanino
2010	B	`conf`	Nonlinear extension of multiobjective multiclass Support Vector Machine. SMC Keiji Tatsumi, Ryo Kawachi, Tetsuzo Tanino
2009	B	`conf`	Multiobjective Multiclass Soft-Margin Support Vector Machine and Its Solving Technique Based on Benson's Method. MDAI Keiji Tatsumi, Ryo Kawachi, Kenji Hayashida, Tetsuzo Tanino
2009	B	`conf`	Restarting Multi-type Particle Swarm Optimization Using an Adaptive Selection of Particle Type. SMC Keiji Tatsumi, Takashi Yukami, Tetsuzo Tanino
2008	J	`jnl`	Improved Projection Hopfield Network for the Quadratic Assignment Problem. Int. J. Inf. Technol. Decis. Mak. Keiji Tatsumi, Tetsuzo Tanino
2008	—	`conf`	Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-Wise Interclass Margins. ICONIP (1) Keiji Tatsumi, Ryo Kawachi, Kenji Hayashida, Tetsuzo Tanino
2006	J	`jnl`	Cooperative fuzzy games extended from ordinary cooperative games with restrictions on coalitions. Kybernetika Atsushi Moritani, Tetsuzo Tanino, Keiji Tatsumi
1996	J	`jnl`	A successive projection method for binary pattern recognition with multilayer feedforward neural networks. Int. J. Syst. Sci. Keiji Tatsumi, Masao Fukushima