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Keiji Tatsumi

Observed names: K. Tatsumi, KEIJI TATSUMI, Keiji TATSUMI, TATSUMI, KEIJI, Tatsumi, Keiji
ORCID: 0000-0001-5514-5854
Observed ORCID: 0000-0001-5514-5854
OpenAlex ID: A5018818545
A chaotic particle swarm optimization exploiting a virtual quartic objective function based on the personal and global best solutions
2013 · Keiji Tatsumi, Takeru Ibuki, et al. · Applied Mathematics and Computation · 27
A Biomedical Sensor System With Stochastic A/D Conversion and Error Correction by Machine Learning
2019 · Yusaku Hirai, Toshimasa Matsuoka, et al. · IEEE Access · 26
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Chaos generator exploiting a gradient model with sinusoidal perturbations for global optimization
2009 · Keiji Tatsumi, Yoshinori Obita, et al. · Chaos Solitons & Fractals · 17
Performance evaluation of multiobjective multiclass support vector machines maximizing geometric margins
2011 · Keiji Tatsumi, Masashi Akao, et al. · Numerical Algebra Control and Optimization · 16
Particle swarm optimization with stochastic selection of perturbation-based chaotic updating system
2015 · Keiji Tatsumi, Takeru Ibuki, et al. · Applied Mathematics and Computation · 14
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Support vector machines maximizing geometric margins for multi-class classification
2014 · Keiji Tatsumi, Tetsuzo Tanino · Top · 11
Multi-objective multiclass support vector machine for pattern recognition
2007 · K. Tatsumi, K. Hayashida, et al. · SICE Annual Conference (SICE) · 9
Restarting multi-type particle swarm optimization using an adaptive selection of particle type
2009 · Keiji Tatsumi, Takashi Yukami, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 8
Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-Wise Interclass Margins
2009 · Keiji Tatsumi, Ryo Kawachi, et al. · Lecture notes in computer science · 8
Nonlinear extension of multiobjective multiclass Support Vector Machine
2010 · Keiji Tatsumi, Ryo Kawachi, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 7
A Multi-class Support Vector Machine Based on Geometric Margin Maximization
2018 · Yoshifumi Kusunoki, Keiji Tatsumi · Lecture notes in computer science · 6
An analog front-end employing 87 dB SNDR stochastic SAR-ADC for a biomedical sensor
2017 · Takatsugu Kamata, Masayuki Ueda, et al. · IEEE International New Circuits and Systems Conference (NEWCAS) · 6
A Sufficient Condition for Chaos in the Gradient Model With Perturbation Method for Global Optimization
2013 · KEIJI TATSUMI, TETSUZO TANINO · International Journal of Bifurcation and Chaos · 6
Multiobjective multiclass support vector machine based on the one-against-all method
2010 · Keiji Tatsumi, Masato Tai, et al. · International Joint Conference on Neural Networks (IJCNN) · 6
A perturbation based chaotic particle swarm optimization using multi-type swarms
2008 · Keiji Tatsumi, Hiroyuki Yamamoto, et al. · SICE Annual Conference (SICE) · 6
Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering
2019 · Keiji Tatsumi, Takahumi Sugimoto, et al. · Lecture notes in computer science · 5
Multiobjective Multiclass Soft-Margin Support Vector Machine and Its Solving Technique Based on Benson’s Method
2009 · Keiji Tatsumi, Ryo Kawachi, et al. · Lecture notes in computer science · 5
Chaotic Particle Swarm Optimization Method Exploiting Sinusoidal Perturbations
2006 · Keiji Tatsumi, Syuhei Sasaki, et al. · SICE-ICASE International Joint Conference · 5
Multi-class support vector machine based on minimization of reciprocal-geometric-margin norms
2025 · Yoshifumi Kusunoki, Keiji Tatsumi · European Journal of Operational Research · 4
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Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines
2022 · Keiji Tatsumi, Shunsuke Tsujioka, et al. · Knowledge-Based Systems · 4
Maximum-Margin Model for Nearest Prototype Classifiers
2018 · Yoshifumi Kusunoki, Chiharu Wakou, et al. · Journal of Advanced Computational Intelligence and Intelligent Informatics · 4
A Perturbation Based Chaotic System Exploiting the Quasi-Newton Method for Global Optimization
2017 · Keiji Tatsumi, Tetsuzo Tanino · International Journal of Bifurcation and Chaos · 4
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Incremental Learning for a Calibration of a High-precision SAR-ADC by Using the Bayesian Linear Regression
2016 · Toshifumi Kurata, Keiji Tatsumi, et al. · Transactions of the Institute of Systems Control and Information Engineers · 4
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Chaotic Multi-swarm Particle Swarm Optimization Using Combined Quartic Functions
2015 · Keiji Tatsumi, Takeru Ibuki, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 4
Nonlinear extension of multiobjective multiclass support vector machine based on the one-against-all method
2011 · Keiji Tatsumi, Masato Tai, et al. · International Joint Conference on Neural Networks (IJCNN) · 4
Works count: 73
Citation count: 253
H-index: 8
I10-index: 6
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