Rule Induction Via Clustering Decision Classes. - Yoshifumi Kusunoki; Masahiro Inuiguchi (RSCTC, 2006)

A Comprehensive Study on Reducts in Dominance-Based Rough Set Approach. - Yoshifumi Kusunoki; Masahiro Inuiguchi (MDAI, 2008)

Variable-precision dominance-based rough set approach and attribute reduction. - Masahiro Inuiguchi; Yukihiro Yoshioka; Yoshifumi Kusunoki (Int. J. Approx. Reason., 2009)

Rule Induction from Information Tables with Ordinal Decision Attributes. - Yoshifumi Kusunoki; Masahiro Inuiguchi; Masanori Inoue; Tetsuzo Tanino (GrC, 2010)

Non-hierarchical Clustering of Decision Tables toward Rough Set-Based Group Decision Aid. - Masahiro Inuiguchi; Ryuta Enomoto; Yoshifumi Kusunoki (MDAI, 2010)

A unified approach to reducts in dominance-based rough set approach. - Yoshifumi Kusunoki; Masahiro Inuiguchi (Soft Comput., 2010)

Agglomerative hierarchical clustering with dissimilarity using discernibility on attribute subsets for nominal data sets. - Yoshifumi Kusunoki; Tetsuzo Tanino (GrC, 2011)

LEM2-Based Rule Induction from Data Tables with Imprecise Evaluations. - Masahiro Inuiguchi; Masahiko Tsuji; Yoshifumi Kusunoki; Masayo Tsurumi (RSKT, 2011)

Variable Precision Rough Set Model in Information Tables with Missing Values. - Yoshifumi Kusunoki; Masahiro Inuiguchi (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Specific-to-general approach for rule induction using discernibility based dissimilarity. - Yoshifumi Kusunoki; Tetsuzo Tanino (GrC, 2013)

Empirical Risk Minimization for Variable Precision Dominance-Based Rough Set Approach. - Yoshifumi Kusunoki; Jerzy Blaszczynski; Masahiro Inuiguchi; Roman Slowinski (RSKT, 2013)

Boolean kernels and clustering with pairwise constraints. - Yoshifumi Kusunoki; Tetsuzo Tanino (GrC, 2014)

Empirical Risk Minimization for Variable Consistency Dominance-Based Rough Set Approach. - Jerzy Blaszczynski; Yoshifumi Kusunoki; Masahiro Inuiguchi; Roman Slowinski (RSFDGrC, 2015)

Structure-Based Attribute Reduction: A Rough Set Approach. - Yoshifumi Kusunoki; Masahiro Inuiguchi (Feature Selection for Data and Pattern Recognition, 2015)

Learning prototype-based classifiers by margin maximization. - Chiharu Wakou; Yoshifumi Kusunoki; Keiji Tatsumi (IFSA-SCIS, 2017)

Investigation on irreducible cost vectors in minimum cost arborescence problems. - Yoshifumi Kusunoki; Tetsuzo Tanino (Eur. J. Oper. Res., 2017)

A Multi-class Support Vector Machine Based on Geometric Margin Maximization. - Yoshifumi Kusunoki; Keiji Tatsumi (IUKM, 2018)

Approximate Multiobjective Multiclass SVM by Using the Reference Point Method. - Yasuhiro Matsugi; Takafumi Sugimoto; Yuxiao Qi; Yoshifumi Kusunoki; Keiji Tatsumi (SMC, 2018)

Axiomatization and Generalization of the Core for Assignment Games on the Complete Graph. - Masaki Saito; Yoshifumi Kusunoki (SMC, 2018)

Maximum-Margin Model for Nearest Prototype Classifiers. - Yoshifumi Kusunoki; Chiharu Wakou; Keiji Tatsumi (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Scalarization for Approximate Multiobjective Multiclass Support Vector Machine Using the Large-k Norm. - Yoshifumi Kusunoki; Keiji Tatsumi (EUSFLAT Conf., 2019)

Interpretation of Variable Consistency Dominance-Based Rough Set Approach by Minimization of Asymmetric Loss Function. - Yoshifumi Kusunoki; Jerzy Blaszczynski; Masahiro Inuiguchi; Roman Slowinski (IUKM, 2019)

Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering. - Keiji Tatsumi; Takahumi Sugimoto; Yoshifumi Kusunoki (IUKM, 2019)

Manifold Learning with Intrinsic Distance Estimation Using Kernelized Linear Model for Metric Tensors. - Katsuhiko Kojima; Yoshifumi Kusunoki; Keiji Tatsumi (SMC, 2020)

Change Detection For Area Surveillance Using A Moving Camera. - Tatsuhisa Watanabe; Tomoharu Nakashima; Yoshifumi Kusunoki (ECMS, 2021)

Employing a View Field in Autonomous Robots and Optimization of Checkpoint Placement in Area Surveillance. - Yasuhiro Matsuda; Tomoharu Nakashima; Yoshifumi Kusunoki (SICE, 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 (SMC, 2021)

Empirical risk minimization for dominance-based rough set approaches. - Yoshifumi Kusunoki; Jerzy Blaszczynski; Masahiro Inuiguchi; Roman Slowinski (Inf. Sci., 2021)

Transductive Learning Based on Low-Rank Representation with Convex Constraints. - Yoshifumi Kusunoki; Katsuhiko Kojima; Keiji Tatsumi (IUKM, 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)

Maximum-Margin Nearest Prototype Classifiers with the Sum-over-Others Loss Function and a Performance Evaluation. - Yoshifumi Kusunoki (IUKM (2), 2023)

A Study on Multi-Class Online Fuzzy Classifiers for Dynamic Environments. - Kensuke Ajimoto; Yuma Yamamoto; Yoshifumi Kusunoki; Tomoharu Nakashima (FUZZ, 2024)

A Study on the Localization of a Mini 4WD Car Using Geomagnetic Information and Racetrack. - Tomoharu Nakashima; Yuuki Shibata; Kotaro Tanaka; Kentaro Sugi; Yoshifumi Kusunoki (ICMLC, 2024)

Revised Margin-Maximization Method for Fuzzy Nearest Prototype Classification. - Yoshifumi Kusunoki (MDAI, 2024)

Generalization of Rough-Set-Based Attribute Reduction by Using Purity Functions. - Yoshifumi Kusunoki (SCIS/ISIS, 2024)

Development of a Robust Fuzzy $c$-Means Method Through Convex Analysis. - Yoshifumi Kusunoki; Tomoharu Nakashima (SCIS/ISIS, 2024)

Multi-class support vector machine based on minimization of reciprocal-geometric-margin norms. - Yoshifumi Kusunoki; Keiji Tatsumi (Eur. J. Oper. Res., 2025)