Yoshifumi Kusunoki

According to our database, Yoshifumi Kusunoki authored at least 31 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Maximum-Margin Nearest Prototype Classifiers with the Sum-over-Others Loss Function and a Performance Evaluation.

Yoshifumi Kusunoki

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

2022

Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines.

Keiji Tatsumi, Shunsuke Tsujioka, Ryota Masui, Yoshifumi Kusunoki, Yeboon Yun

Knowl. Based Syst., 2022

Transductive Learning Based on Low-Rank Representation with Convex Constraints.

Yoshifumi Kusunoki, Katsuhiko Kojima, Keiji Tatsumi

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

2021

Empirical risk minimization for dominance-based rough set approaches.

Yoshifumi Kusunoki, Jerzy Blaszczynski, Masahiro Inuiguchi, Roman Slowinski

Inf. Sci., 2021

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

Keiji Tatsumi, Ryota Masui, Shunsuke Tsujioka, Yoshifumi Kusunoki, Yeboon Yun

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Employing a View Field in Autonomous Robots and Optimization of Checkpoint Placement in Area Surveillance.

Yasuhiro Matsuda, Tomoharu Nakashima, Yoshifumi Kusunoki

Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021

Change Detection For Area Surveillance Using A Moving Camera.

Tatsuhisa Watanabe, Tomoharu Nakashima, Yoshifumi Kusunoki

Proceedings of the 35th International ECMS International Conference on Modelling and Simulation, 2021

2020

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

Katsuhiko Kojima, Yoshifumi Kusunoki, Keiji Tatsumi

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

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

Keiji Tatsumi, Takahumi Sugimoto, Yoshifumi Kusunoki

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

Interpretation of Variable Consistency Dominance-Based Rough Set Approach by Minimization of Asymmetric Loss Function.

Yoshifumi Kusunoki, Jerzy Blaszczynski, Masahiro Inuiguchi, Roman Slowinski

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.

Yoshifumi Kusunoki, Keiji Tatsumi

Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

2018

Maximum-Margin Model for Nearest Prototype Classifiers.

Yoshifumi Kusunoki, Chiharu Wakou, Keiji Tatsumi

J. Adv. Comput. Intell. Intell. Informatics, 2018

Axiomatization and Generalization of the Core for Assignment Games on the Complete Graph.

Masaki Saito, Yoshifumi Kusunoki

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Approximate Multiobjective Multiclass SVM by Using the Reference Point Method.

Yasuhiro Matsugi, Takafumi Sugimoto, Yuxiao Qi, Yoshifumi Kusunoki, Keiji Tatsumi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Multi-class Support Vector Machine Based on Geometric Margin Maximization.

Yoshifumi Kusunoki, Keiji Tatsumi

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2018

2017

Investigation on irreducible cost vectors in minimum cost arborescence problems.

Yoshifumi Kusunoki, Tetsuzo Tanino

Eur. J. Oper. Res., 2017

Learning prototype-based classifiers by margin maximization.

Chiharu Wakou, Yoshifumi Kusunoki, Keiji Tatsumi

Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

2015

Structure-Based Attribute Reduction: A Rough Set Approach.

Yoshifumi Kusunoki, Masahiro Inuiguchi

Proceedings of the Feature Selection for Data and Pattern Recognition, 2015

Empirical Risk Minimization for Variable Consistency Dominance-Based Rough Set Approach.

Jerzy Blaszczynski, Yoshifumi Kusunoki, Masahiro Inuiguchi, Roman Slowinski

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014

Boolean kernels and clustering with pairwise constraints.

Yoshifumi Kusunoki, Tetsuzo Tanino

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

2013

Empirical Risk Minimization for Variable Precision Dominance-Based Rough Set Approach.

Yoshifumi Kusunoki, Jerzy Blaszczynski, Masahiro Inuiguchi, Roman Slowinski

Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

Specific-to-general approach for rule induction using discernibility based dissimilarity.

Yoshifumi Kusunoki, Tetsuzo Tanino

Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

2011

Variable Precision Rough Set Model in Information Tables with Missing Values.

Yoshifumi Kusunoki, Masahiro Inuiguchi

J. Adv. Comput. Intell. Intell. Informatics, 2011

LEM2-Based Rule Induction from Data Tables with Imprecise Evaluations.

Masahiro Inuiguchi, Masahiko Tsuji, Yoshifumi Kusunoki, Masayo Tsurumi

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Agglomerative hierarchical clustering with dissimilarity using discernibility on attribute subsets for nominal data sets.

Yoshifumi Kusunoki, Tetsuzo Tanino

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

2010

A unified approach to reducts in dominance-based rough set approach.

Yoshifumi Kusunoki, Masahiro Inuiguchi

Soft Comput., 2010

Non-hierarchical Clustering of Decision Tables toward Rough Set-Based Group Decision Aid.

Masahiro Inuiguchi, Ryuta Enomoto, Yoshifumi Kusunoki

Proceedings of the Modeling Decisions for Artificial Intelligence, 2010

Rule Induction from Information Tables with Ordinal Decision Attributes.

Yoshifumi Kusunoki, Masahiro Inuiguchi, Masanori Inoue, Tetsuzo Tanino

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009

Variable-precision dominance-based rough set approach and attribute reduction.

Masahiro Inuiguchi, Yukihiro Yoshioka, Yoshifumi Kusunoki

Int. J. Approx. Reason., 2009

2008

A Comprehensive Study on Reducts in Dominance-Based Rough Set Approach.

Yoshifumi Kusunoki, Masahiro Inuiguchi

Proceedings of the Modeling Decisions for Artificial Intelligence, 2008

2006

Rule Induction Via Clustering Decision Classes.

Yoshifumi Kusunoki, Masahiro Inuiguchi

Proceedings of the Rough Sets and Current Trends in Computing, 2006