Yoshifumi Kusunoki

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 19

Top Topics

Autonomous Robots

Top Venues

J. Adv. Comput. Intell. Intell. Informatics

Publications

Yoshifumi Kusunoki
Revised Margin-Maximization Method for Fuzzy Nearest Prototype Classification. MDAI (2024)
Kensuke Ajimoto, Yuma Yamamoto, Yoshifumi Kusunoki, Tomoharu Nakashima
A Study on Multi-Class Online Fuzzy Classifiers for Dynamic Environments. FUZZ (2024)
Yoshifumi Kusunoki
Maximum-Margin Nearest Prototype Classifiers with the Sum-over-Others Loss Function and a Performance Evaluation. IUKM (2) (2023)
Yoshifumi Kusunoki, Katsuhiko Kojima, Keiji Tatsumi
Transductive Learning Based on Low-Rank Representation with Convex Constraints. IUKM (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)
Tatsuhisa Watanabe, Tomoharu Nakashima, Yoshifumi Kusunoki
Change Detection For Area Surveillance Using A Moving Camera. ECMS (2021)
Yasuhiro Matsuda, Tomoharu Nakashima, Yoshifumi Kusunoki
Employing a View Field in Autonomous Robots and Optimization of Checkpoint Placement in Area Surveillance. SICE (2021)
Yoshifumi Kusunoki, Jerzy Blaszczynski, Masahiro Inuiguchi, Roman Slowinski
Empirical risk minimization for dominance-based rough set approaches. Inf. Sci. 567 (2021)
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)
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)
Yoshifumi Kusunoki, Jerzy Blaszczynski, Masahiro Inuiguchi, Roman Slowinski
Interpretation of Variable Consistency Dominance-Based Rough Set Approach by Minimization of Asymmetric Loss Function. IUKM (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)
Masaki Saito, Yoshifumi Kusunoki
Axiomatization and Generalization of the Core for Assignment Games on the Complete Graph. SMC (2018)
Yoshifumi Kusunoki, Tetsuzo Tanino
Investigation on irreducible cost vectors in minimum cost arborescence problems. Eur. J. Oper. Res. 261 (1) (2017)
Chiharu Wakou, Yoshifumi Kusunoki, Keiji Tatsumi
Learning prototype-based classifiers by margin maximization. IFSA-SCIS (2017)
Jerzy Blaszczynski, Yoshifumi Kusunoki, Masahiro Inuiguchi, Roman Slowinski
Empirical Risk Minimization for Variable Consistency Dominance-Based Rough Set Approach. RSFDGrC (2015)
Yoshifumi Kusunoki, Tetsuzo Tanino
Boolean kernels and clustering with pairwise constraints. GrC (2014)
Yoshifumi Kusunoki, Jerzy Blaszczynski, Masahiro Inuiguchi, Roman Slowinski
Empirical Risk Minimization for Variable Precision Dominance-Based Rough Set Approach. RSKT (2013)
Yoshifumi Kusunoki, Tetsuzo Tanino
Specific-to-general approach for rule induction using discernibility based dissimilarity. GrC (2013)
Yoshifumi Kusunoki, Masahiro Inuiguchi
Variable Precision Rough Set Model in Information Tables with Missing Values. J. Adv. Comput. Intell. Intell. Informatics 15 (1) (2011)
Yoshifumi Kusunoki, Tetsuzo Tanino
Agglomerative hierarchical clustering with dissimilarity using discernibility on attribute subsets for nominal data sets. GrC (2011)
Masahiro Inuiguchi, Masahiko Tsuji, Yoshifumi Kusunoki, Masayo Tsurumi
LEM2-Based Rule Induction from Data Tables with Imprecise Evaluations. RSKT (2011)
Yoshifumi Kusunoki, Masahiro Inuiguchi, Masanori Inoue, Tetsuzo Tanino
Rule Induction from Information Tables with Ordinal Decision Attributes. GrC (2010)
Yoshifumi Kusunoki, Masahiro Inuiguchi
A unified approach to reducts in dominance-based rough set approach. Soft Comput. 14 (5) (2010)
Masahiro Inuiguchi, Ryuta Enomoto, Yoshifumi Kusunoki
Non-hierarchical Clustering of Decision Tables toward Rough Set-Based Group Decision Aid. MDAI (2010)
Masahiro Inuiguchi, Yukihiro Yoshioka, Yoshifumi Kusunoki
Variable-precision dominance-based rough set approach and attribute reduction. Int. J. Approx. Reason. 50 (8) (2009)
Yoshifumi Kusunoki, Masahiro Inuiguchi
A Comprehensive Study on Reducts in Dominance-Based Rough Set Approach. MDAI (2008)
Yoshifumi Kusunoki, Masahiro Inuiguchi
Rule Induction Via Clustering Decision Classes. RSCTC (2006)