Keiji Tatsumi

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 24

Top Topics

Multiple Classes

Multiclass Learning

Reference Points

Top Venues

Int. J. Bifurc. Chaos

Publications

Keiji Tatsumi, Ryota Masui, Haruhisa Miyahara, Yeboon Yun
Multiclass piecewise-linear SVMs with the restricted feasible region for the reinforcement degrees in constructing large-scale structures. Knowl. Based Syst. 300 (2024)
Yoshifumi Kusunoki, Katsuhiko Kojima, Keiji Tatsumi
Transductive Learning Based on Low-Rank Representation with Convex Constraints. IUKM (2022)
Keiji Tatsumi, Nao Kinoshita
Shift-invariant grey wolf optimizer exploiting reference points and random selection of step-sizes. SICE (2022)
Keiji Tatsumi, Shunsuke Tsujioka, Ryota Masui, Yoshifumi Kusunoki, Yeboon Yun
Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines. Knowl. Based Syst. 249 (2022)
Keiji Tatsumi, Ryota Masui, Shunsuke Tsujioka, Yoshifumi Kusunoki, Yeboon Yun
Multiclass Support Vector Machines for Determination of Reinforcement Degree in Constructing Large-scale Structures Based on Data Characteristics. SMC (2021)
Katsuhiko Kojima, Yoshifumi Kusunoki, Keiji Tatsumi
Manifold Learning with Intrinsic Distance Estimation Using Kernelized Linear Model for Metric Tensors. SMC (2020)
Nao Kinoshita, Keiji Tatsumi
Chaotic particle swarm optimization using a rotation transformation based on two best solutions. SMC (2020)
Yoshifumi Kusunoki, Keiji Tatsumi
Scalarization for Approximate Multiobjective Multiclass Support Vector Machine Using the Large-k Norm. EUSFLAT Conf. (2019)
Keiji Tatsumi, Takahumi Sugimoto, Yoshifumi Kusunoki
Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering. IUKM (2019)
Yusaku Hirai, Toshimasa Matsuoka, Sadahiro Tani, Shodai Isami, Keiji Tatsumi, Masayuki Ueda, Takatsugu Kamata
A Biomedical Sensor System With Stochastic A/D Conversion and Error Correction by Machine Learning. IEEE Access 7 (2019)
Keiji Tatsumi, Toshimasa Matsuoka
A Software Level Calibration Based on Bayesian Regression for a Successive Stochastic Approximation Analog-to-Digital Converter System. IEEE Trans. Cybern. 49 (4) (2019)
Yoshifumi Kusunoki, Keiji Tatsumi
A Multi-class Support Vector Machine Based on Geometric Margin Maximization. IUKM (2018)
Yoshifumi Kusunoki, Chiharu Wakou, Keiji Tatsumi
Maximum-Margin Model for Nearest Prototype Classifiers. J. Adv. Comput. Intell. Intell. Informatics 22 (4) (2018)
Yasuhiro Matsugi, Takafumi Sugimoto, Yuxiao Qi, Yoshifumi Kusunoki, Keiji Tatsumi
Approximate Multiobjective Multiclass SVM by Using the Reference Point Method. SMC (2018)
Keiji Tatsumi
Modified Perturbation-Based Chaotic System Using the Quasi-Newton Method with the Symmetric Rank-One Formula for Global Optimization. SMC (2018)
Keiji Tatsumi
A Weaker Sufficient Condition for the Chaoticity of Extended Perturbation-Based Updating System for Global Optimization. Int. J. Bifurc. Chaos 27 (6) (2017)
Keiji Tatsumi, Toshimasa Matsuoka, Sadahiro Tani
A calibration with an adaptive data selection based on Bayes estimation for a successive stochastic approximation ADC system. IFSA-SCIS (2017)
Takatsugu Kamata, Masayuki Ueda, Yusaku Hirai, Sadahiro Tani, Tomohiro Asano, Shodai Isami, Toshifumi Kurata, Keiji Tatsumi, Toshimasa Matsuoka
An analog front-end employing 87 dB SNDR stochastic SAR-ADC for a biomedical sensor. NEWCAS (2017)
Keiji Tatsumi, Yuki Kawashita, Takahumi Sugimoto
A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering. ICONIP (1) (2017)
Keiji Tatsumi, Tetsuzo Tanino
A Perturbation Based Chaotic System Exploiting the Quasi-Newton Method for Global Optimization. Int. J. Bifurc. Chaos 27 (4) (2017)
Chiharu Wakou, Yoshifumi Kusunoki, Keiji Tatsumi
Learning prototype-based classifiers by margin maximization. IFSA-SCIS (2017)
Sadahiro Tani, Toshimasa Matsuoka, Yusaku Hirai, Toshifumi Kurata, Keiji Tatsumi, Tomohiro Asano, Masayuki Ueda, Takatsugu Kamata
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. (10) (2017)
Keiji Tatsumi, Takeru Ibuki, Tetsuzo Tanino
Chaotic Multi-swarm Particle Swarm Optimization Using Combined Quartic Functions. SMC (2015)
Keiji Tatsumi, Takeru Ibuki, Tetsuzo Tanino
Particle swarm optimization with stochastic selection of perturbation-based chaotic updating system. Appl. Math. Comput. 269 (2015)
Yoichi Izunaga, Keisuke Sato, Keiji Tatsumi, Yoshitsugu Yamamoto
Row and Column Generation Algorithm for Maximization of Minimum Margin for Ranking Problems. OR (2014)
Keiji Tatsumi, Tetsuzo Tanino
A sufficient condition for Chaos in the Gradient Model with perturbation Method for Global Optimization. Int. J. Bifurc. Chaos 23 (6) (2013)
Keiji Tatsumi, Takeru Ibuki, Satoshi Nakashima, Tetsuzo Tanino
Improved Chaotic Particle Swarm Optimization with a Perturbation-Based Chaotic System for a Virtual Quartic Function. SMC (2013)
Keiji Tatsumi, Takeru Ibuki, Tetsuzo Tanino
A chaotic particle swarm optimization exploiting a virtual quartic objective function based on the personal and global best solutions. Appl. Math. Comput. 219 (17) (2013)
Keiji Tatsumi, Takeru Ibuki, Tetsuzo Tanino
Chaotic particle swarm optimization with an intensive search around the personal and global bests. SMC (2012)
Keiji Tatsumi, Masato Tai, Tetsuzo Tanino
Nonlinear extension of multiobjective multiclass support vector machine based on the one-against-all method. IJCNN (2011)
Keiji Tatsumi, Ryo Kawachi, Tetsuzo Tanino
Nonlinear extension of multiobjective multiclass Support Vector Machine. SMC (2010)
Keiji Tatsumi, Masato Tai, Tetsuzo Tanino
Multiobjective multiclass support vector machine based on the one-against-all method. IJCNN (2010)
Keiji Tatsumi, Ryo Kawachi, Kenji Hayashida, Tetsuzo Tanino
Multiobjective Multiclass Soft-Margin Support Vector Machine and Its Solving Technique Based on Benson's Method. MDAI (2009)
Keiji Tatsumi, Takashi Yukami, Tetsuzo Tanino
Restarting Multi-type Particle Swarm Optimization Using an Adaptive Selection of Particle Type. SMC (2009)
Keiji Tatsumi, Ryo Kawachi, Kenji Hayashida, Tetsuzo Tanino
Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-Wise Interclass Margins. ICONIP (1) (2008)
Keiji Tatsumi, Tetsuzo Tanino
Improved Projection Hopfield Network for the Quadratic Assignment Problem. Int. J. Inf. Technol. Decis. Mak. 7 (1) (2008)
Atsushi Moritani, Tetsuzo Tanino, Keiji Tatsumi
Cooperative fuzzy games extended from ordinary cooperative games with restrictions on coalitions. Kybernetika 42 (4) (2006)
Keiji Tatsumi, Masao Fukushima
A successive projection method for binary pattern recognition with multilayer feedforward neural networks. Int. J. Syst. Sci. 27 (10) (1996)