Kensuke Tanioka

18 papers B 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Causal rule ensemble approach for multi-arm data. CoRR Ke Wan, Kensuke Tanioka, Toshio Shimokawa
2025	J	`jnl`	Wilcoxon-type multivariate cluster elastic net. Neurocomputing Mayu Hiraishi, Kensuke Tanioka, Hiroshi Yadohisa
2024	J	`jnl`	Estimation of a treatment effect based on a modified covariates method with L Artif. Life Robotics Kensuke Tanioka, Kaoru Okuda, Satoru Hiwa, Tomoyuki Hiroyasu
2024	—	`conf`	Sparse Projected Maximum Entropy Fuzzy c-Means. FUZZ Yuan He, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu
2023	J	`jnl`	Clustered Sparse Structural Equation Modeling for Heterogeneous Data. J. Classif. Ippei Takasawa, Kensuke Tanioka, Hiroshi Yadohisa
2023	J	`jnl`	Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset. CoRR Kyoka Yoshiok, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu
2023	J	`jnl`	Performance comparison of deep learning architectures for surgical instrument image removal in gastrointestinal endoscopic imaging. Artif. Life Robotics Taira Watanabe, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu
2023	J	`jnl`	Preliminary Investigation of the Association Between Driving Pleasure and Brain Activity with Mapper-based Topological Data Analysis. Int. J. Intell. Transp. Syst. Res. Shinsei Isojima, Kensuke Tanioka, Tomoyuki Hiroyasu, Satoru Hiwa
2022	J	`jnl`	Performance Comparison of Deep Learning Architectures for Artifact Removal in Gastrointestinal Endoscopic Imaging. CoRR Taira Watanabe, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu
2022	J	`jnl`	Thresholding Approach for Low-Rank Correlation Matrix Based on MM Algorithm. Entropy Kensuke Tanioka, Yuki Furotani, Satoru Hiwa
2022	B	`conf`	Visualization, Clustering, and Graph Generation of Optimization Search Trajectories for Evolutionary Computation Through Topological Data Analysis: Application of the Mapper. CEC Arisa Toda, Satoru Hiwa, Kensuke Tanioka, Tomoyuki Hiroyasu
2019	J	`jnl`	Simultaneous Method of Orthogonal Non-metric Non-negative Matrix Factorization and Constrained Non-hierarchical Clustering. J. Classif. Kensuke Tanioka, Hiroshi Yadohisa
2018	J	`jnl`	Unfolding Models for Asymmetric Dissimilarity Data With External Information Based on Path Structures. Int. J. Softw. Innov. Kensuke Tanioka, Hiroshi Yadohisa
2017	—	`conf`	Generalized Structured Component Analysis for Dissimilarity Data and Multivariate Data. ACIT/CSII/BCD Kensuke Tanioka, Hiroshi Yadohisa
2016	—	`—`	Constrained analysis of asymmetric dissimilarity data by using both MDS and clustering. Kensuke Tanioka
2012	—	`conf`	Subspace Hierarchical Clustering for Three-way Three-mode Data using Quadratic Regularization. Complex Adaptive Systems Kensuke Tanioka, Hiroshi Yadohisa
2011	J	`jnl`	Hierarchical clustering algorithm with combined criteria for large and complex similarity data. Int. J. Knowl. Eng. Soft Data Paradigms Kensuke Tanioka, Hiroshi Yadohisa
2010	—	`conf`	Effect of Data Standardization on the Result of k-Means Clustering. GfKl Kensuke Tanioka, Hiroshi Yadohisa