Keiji Tatsumi

Keiji Tatsumi, Toshimasa Matsuoka, Sadahiro Tani, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

A Software Level Calibration Based on Bayesian Regression for a Successive Stochastic Approximation Analog-to-Digital Converter System

Keiji Tatsumi, Toshimasa Matsuoka, K. Tatsumi, 2019, IEEE Transactions on Cybernetics.

Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-Wise Interclass Margins

Keiji Tatsumi, Tetsuzo Tanino, Kenji Hayashida, 2008, ICONIP.

An analog front-end employing 87 dB SNDR stochastic SAR-ADC for a biomedical sensor

Keiji Tatsumi, Toshimasa Matsuoka, Masayuki Ueda, 2017, 2017 15th IEEE International New Circuits and Systems Conference (NEWCAS).

Chaotic particle swarm optimization using a rotation transformation based on two best solutions

Keiji Tatsumi, Nao Kinoshita, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Behavior-Level Analysis of a Successive Stochastic Approximation Analog-to-Digital Conversion System for Multi-Channel Biomedical Data Acquisition

Keiji Tatsumi, Toshimasa Matsuoka, Masayuki Ueda, 2017, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Adaptive Stepsize Rule for Consensus Optimization by Supervisory Control Architecture

Keiji Tatsumi, Takeshi Hatanaka, Yoshifumi Kusunoki, 2019, Transactions of the Institute of Systems, Control and Information Engineers.

A Backpropagation Algorithm as a Successive Projection Method

Masao Fukushima, Keiji Tatsumi, M. Fukushima, 1995 .

Multiobjective multiclass support vector machine based on the one-against-all method

Keiji Tatsumi, Tetsuzo Tanino, Masato Tai, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A Perturbation Based Chaotic System Exploiting the Quasi-Newton Method for Global Optimization

Keiji Tatsumi, Tetsuzo Tanino, T. Tanino, 2017, Int. J. Bifurc. Chaos.

A Weaker Sufficient Condition for the Chaoticity of Extended Perturbation-Based Updating System for Global Optimization

Keiji Tatsumi, K. Tatsumi, 2017, Int. J. Bifurc. Chaos.

Maximum-Margin Model for Nearest Prototype Classifiers

Keiji Tatsumi, Yoshifumi Kusunoki, Chiharu Wakou, 2018, J. Adv. Comput. Intell. Intell. Informatics.

1B1 TABU SEARCH FOR RESOURCE CONSTRAINED PROJECT SCHEDULING PROBLEM(Technical session 1B : Meta Heuristics)

Keiji Tatsumi, Yasumasa Nakashima, Go Miwa, 2004 .

Nonlinear extension of multiobjective multiclass Support Vector Machine

Keiji Tatsumi, Tetsuzo Tanino, Masato Tai, 2011, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Modified Perturbation-Based Chaotic System Using the Quasi-Newton Method with the Symmetric Rank-One Formula for Global Optimization

Keiji Tatsumi, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Perturbation-Based Chaotic Particle Swarm Optimization Searching around Multiple Personal Best Solutions

Keiji Tatsumi, Tomoki Kuwabara, Haruhiko Mineoka, 2018 .

GLOBAL CONVERGENCE PROPERTY OF ERROR BACK-PROPAGATION METHOD FOR RECURRENT NEURAL NETWORKS

Masao Fukushima, Keiji Tatsumi, Tetsuzo Tanino, 2002 .

Resource Transfer Planning in a Group of RCPSPs Forming a Directed Graph

Keiji Tatsumi, Tetsuzo Tanino, Shun Nishizawa, 2009 .

Approximate Multiobjective Multiclass SVM by Using the Reference Point Method

Keiji Tatsumi, Yoshifumi Kusunoki, Yuxiao Qi, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A sufficient condition for Chaos in the Gradient Model with perturbation Method for Global Optimization

Keiji Tatsumi, Tetsuzo Tanino, 2013, Int. J. Bifurc. Chaos.

Chaotic particle swarm optimization with an intensive search around the personal and global bests

Keiji Tatsumi, Tetsuzo Tanino, Takeru Ibuki, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Performance evaluation of multiobjective multiclass support vector machines maximizing geometric margins

Keiji Tatsumi, Tetsuzo Tanino, Ryo Kawachi, 2011 .

Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering

Keiji Tatsumi, Yoshifumi Kusunoki, Takahumi Sugimoto, 2019, IUKM.

Cooperative fuzzy games extended from ordinary cooperative games with restrictions on coalitions

Keiji Tatsumi, Tetsuzo Tanino, Atsushi Moritani, 2006, Kybernetika.

Learning prototype-based classifiers by margin maximization

Keiji Tatsumi, Yoshifumi Kusunoki, Chiharu Wakou, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Row and Column Generation Algorithm for Maximization of Minimum Margin for Ranking Problems

Keiji Tatsumi, Yoshitsugu Yamamoto, Keisuke Sato, 2014, OR.

Manifold Learning with Intrinsic Distance Estimation Using Kernelized Linear Model for Metric Tensors

Keiji Tatsumi, Yoshifumi Kusunoki, Katsuhiko Kojima, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Multiobjective Multiclass Soft-Margin Support Vector Machine and Its Solving Technique Based on Benson's Method

Keiji Tatsumi, Tetsuzo Tanino, Kenji Hayashida, 2009, MDAI.

Restarting multi-type particle swarm optimization using an adaptive selection of particle type

Keiji Tatsumi, Tetsuzo Tanino, Takashi Yukami, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Multiclass Support Vector Machines for Determination of Reinforcement Degree in Constructing Large-scale Structures Based on Data Characteristics

Keiji Tatsumi, Yoshifumi Kusunoki, Ryota Masui, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Support vector machines maximizing geometric margins for multi-class classification

Keiji Tatsumi, Tetsuzo Tanino, T. Tanino, 2014, TOP.