Effect of Data Standardization on the Result of k-Means Clustering. - Kensuke Tanioka; Hiroshi Yadohisa (GfKl, 2010)

Hierarchical clustering algorithm with combined criteria for large and complex similarity data. - Kensuke Tanioka; Hiroshi Yadohisa (Int. J. Knowl. Eng. Soft Data Paradigms, 2011)

Subspace Hierarchical Clustering for Three-way Three-mode Data using Quadratic Regularization. - Kensuke Tanioka; Hiroshi Yadohisa (Complex Adaptive Systems, 2012)

Constrained analysis of asymmetric dissimilarity data by using both MDS and clustering. - Kensuke Tanioka (2016)

Generalized Structured Component Analysis for Dissimilarity Data and Multivariate Data. - Kensuke Tanioka; Hiroshi Yadohisa (ACIT/CSII/BCD, 2017)

Unfolding Models for Asymmetric Dissimilarity Data With External Information Based on Path Structures. - Kensuke Tanioka; Hiroshi Yadohisa (Int. J. Softw. Innov., 2018)

Simultaneous Method of Orthogonal Non-metric Non-negative Matrix Factorization and Constrained Non-hierarchical Clustering. - Kensuke Tanioka; Hiroshi Yadohisa (J. Classif., 2019)

Visualization, Clustering, and Graph Generation of Optimization Search Trajectories for Evolutionary Computation Through Topological Data Analysis: Application of the Mapper. - Arisa Toda; Satoru Hiwa; Kensuke Tanioka; Tomoyuki Hiroyasu (CEC, 2022)

Performance Comparison of Deep Learning Architectures for Artifact Removal in Gastrointestinal Endoscopic Imaging. - Taira Watanabe; Kensuke Tanioka; Satoru Hiwa; Tomoyuki Hiroyasu (CoRR, 2022)

Thresholding Approach for Low-Rank Correlation Matrix Based on MM Algorithm. - Kensuke Tanioka; Yuki Furotani; Satoru Hiwa (Entropy, 2022)

Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset. - Kyoka Yoshiok; Kensuke Tanioka; Satoru Hiwa; Tomoyuki Hiroyasu (CoRR, 2023)

Performance comparison of deep learning architectures for surgical instrument image removal in gastrointestinal endoscopic imaging. - Taira Watanabe; Kensuke Tanioka; Satoru Hiwa; Tomoyuki Hiroyasu (Artif. Life Robotics, 2023)

Clustered Sparse Structural Equation Modeling for Heterogeneous Data. - Ippei Takasawa; Kensuke Tanioka; Hiroshi Yadohisa (J. Classif., 2023)

Preliminary Investigation of the Association Between Driving Pleasure and Brain Activity with Mapper-based Topological Data Analysis. - Shinsei Isojima; Kensuke Tanioka; Tomoyuki Hiroyasu; Satoru Hiwa (Int. J. Intell. Transp. Syst. Res., 2023)

Sparse Projected Maximum Entropy Fuzzy c-Means. - Yuan He; Kensuke Tanioka; Satoru Hiwa; Tomoyuki Hiroyasu (FUZZ, 2024)

Estimation of a treatment effect based on a modified covariates method with L0 norm. - Kensuke Tanioka; Kaoru Okuda; Satoru Hiwa; Tomoyuki Hiroyasu (Artif. Life Robotics, 2024)

Wilcoxon-type multivariate cluster elastic net. - Mayu Hiraishi; Kensuke Tanioka; Hiroshi Yadohisa (Neurocomputing, 2025)

Causal rule ensemble approach for multi-arm data. - Ke Wan; Kensuke Tanioka; Toshio Shimokawa (CoRR, 2025)