Keiji Tatsumi

Orcid: 0000-0001-5514-5854

According to our database1, Keiji Tatsumi authored at least 39 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multiclass piecewise-linear SVMs with the restricted feasible region for the reinforcement degrees in constructing large-scale structures.
Knowl. Based Syst., 2024

Multiclass piecewise-linear SVMs based on division of data space for determining the reinforcement degrees of large-scale structures.
Proceedings of the International Joint Conference on Neural Networks, 2024

2022
Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines.
Knowl. Based Syst., 2022

Shift-invariant grey wolf optimizer exploiting reference points and random selection of step-sizes.
Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

Transductive Learning Based on Low-Rank Representation with Convex Constraints.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

2021
Multiclass Support Vector Machines for Determination of Reinforcement Degree in Constructing Large-scale Structures Based on Data Characteristics.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
Manifold Learning with Intrinsic Distance Estimation Using Kernelized Linear Model for Metric Tensors.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Chaotic particle swarm optimization using a rotation transformation based on two best solutions.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
A Software Level Calibration Based on Bayesian Regression for a Successive Stochastic Approximation Analog-to-Digital Converter System.
IEEE Trans. Cybern., 2019

A Biomedical Sensor System With Stochastic A/D Conversion and Error Correction by Machine Learning.
IEEE Access, 2019

Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

Scalarization for Approximate Multiobjective Multiclass Support Vector Machine Using the Large-k Norm.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

2018
Maximum-Margin Model for Nearest Prototype Classifiers.
J. Adv. Comput. Intell. Intell. Informatics, 2018

Modified Perturbation-Based Chaotic System Using the Quasi-Newton Method with the Symmetric Rank-One Formula for Global Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Approximate Multiobjective Multiclass SVM by Using the Reference Point Method.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Multi-class Support Vector Machine Based on Geometric Margin Maximization.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2018

2017
A Perturbation Based Chaotic System Exploiting the Quasi-Newton Method for Global Optimization.
Int. J. Bifurc. Chaos, 2017

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

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., 2017

An analog front-end employing 87 dB SNDR stochastic SAR-ADC for a biomedical sensor.
Proceedings of the 15th IEEE International New Circuits and Systems Conference, 2017

Learning prototype-based classifiers by margin maximization.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

A calibration with an adaptive data selection based on Bayes estimation for a successive stochastic approximation ADC system.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2015
Particle swarm optimization with stochastic selection of perturbation-based chaotic updating system.
Appl. Math. Comput., 2015

Chaotic Multi-swarm Particle Swarm Optimization Using Combined Quartic Functions.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
Row and Column Generation Algorithm for Maximization of Minimum Margin for Ranking Problems.
Proceedings of the Operations Research Proceedings 2014, 2014

2013
A sufficient condition for Chaos in the Gradient Model with perturbation Method for Global Optimization.
Int. J. Bifurc. Chaos, 2013

A chaotic particle swarm optimization exploiting a virtual quartic objective function based on the personal and global best solutions.
Appl. Math. Comput., 2013

Improved Chaotic Particle Swarm Optimization with a Perturbation-Based Chaotic System for a Virtual Quartic Function.
Proceedings of the IEEE International Conference on Systems, 2013

2012
Chaotic particle swarm optimization with an intensive search around the personal and global bests.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011
Nonlinear extension of multiobjective multiclass support vector machine based on the one-against-all method.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Nonlinear extension of multiobjective multiclass Support Vector Machine.
Proceedings of the IEEE International Conference on Systems, 2010

Multiobjective multiclass support vector machine based on the one-against-all method.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Restarting Multi-type Particle Swarm Optimization Using an Adaptive Selection of Particle Type.
Proceedings of the IEEE International Conference on Systems, 2009

Multiobjective Multiclass Soft-Margin Support Vector Machine and Its Solving Technique Based on Benson's Method.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2009

2008
Improved Projection Hopfield Network for the Quadratic Assignment Problem.
Int. J. Inf. Technol. Decis. Mak., 2008

Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-Wise Interclass Margins.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2006
Cooperative fuzzy games extended from ordinary cooperative games with restrictions on coalitions.
Kybernetika, 2006

1996
A successive projection method for binary pattern recognition with multilayer feedforward neural networks.
Int. J. Syst. Sci., 1996


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