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2020 – today
- 2024
[j8]Kensuke Tanioka, Kaoru Okuda, Satoru Hiwa, Tomoyuki Hiroyasu:
Estimation of a treatment effect based on a modified covariates method with L0 norm. Artif. Life Robotics 29(2): 250-258 (2024)- [c5]Yuan He, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu:
Sparse Projected Maximum Entropy Fuzzy c-Means. FUZZ 2024: 1-9 - 2023
- [j7]Taira Watanabe, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu:
Performance comparison of deep learning architectures for surgical instrument image removal in gastrointestinal endoscopic imaging. Artif. Life Robotics 28(2): 307-313 (2023) - [j6]Ippei Takasawa, Kensuke Tanioka
, Hiroshi Yadohisa:
Clustered Sparse Structural Equation Modeling for Heterogeneous Data. J. Classif. 40(3): 588-613 (2023) - [j5]Shinsei Isojima, Kensuke Tanioka, Tomoyuki Hiroyasu, Satoru Hiwa:
Preliminary Investigation of the Association Between Driving Pleasure and Brain Activity with Mapper-based Topological Data Analysis. Int. J. Intell. Transp. Syst. Res. 21(3): 424-436 (2023) - [i2]Kyoka Yoshiok, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu:
Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset. CoRR abs/2301.02390 (2023) - 2022
- [j4]Kensuke Tanioka, Yuki Furotani, Satoru Hiwa:
Thresholding Approach for Low-Rank Correlation Matrix Based on MM Algorithm. Entropy 24(5): 579 (2022) - [c4]Arisa Toda, Satoru Hiwa, Kensuke Tanioka, Tomoyuki Hiroyasu:
Visualization, Clustering, and Graph Generation of Optimization Search Trajectories for Evolutionary Computation Through Topological Data Analysis: Application of the Mapper. CEC 2022: 1-8 - [i1]Taira Watanabe, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu:
Performance Comparison of Deep Learning Architectures for Artifact Removal in Gastrointestinal Endoscopic Imaging. CoRR abs/2201.00084 (2022)
2010 – 2019
- 2019
- [j3]Kensuke Tanioka, Hiroshi Yadohisa:
Simultaneous Method of Orthogonal Non-metric Non-negative Matrix Factorization and Constrained Non-hierarchical Clustering. J. Classif. 36(1): 73-93 (2019) - 2018
- [j2]Kensuke Tanioka, Hiroshi Yadohisa:
Unfolding Models for Asymmetric Dissimilarity Data With External Information Based on Path Structures. Int. J. Softw. Innov. 6(3): 53-66 (2018) - 2017
- [c3]Kensuke Tanioka, Hiroshi Yadohisa:
Generalized Structured Component Analysis for Dissimilarity Data and Multivariate Data. ACIT/CSII/BCD 2017: 320-325 - 2016
- [b1]Kensuke Tanioka:
Constrained analysis of asymmetric dissimilarity data by using both MDS and clustering. Doshisha University, Japan, 2016 - 2012
- [c2]Kensuke Tanioka, Hiroshi Yadohisa:
Subspace Hierarchical Clustering for Three-way Three-mode Data using Quadratic Regularization. Complex Adaptive Systems 2012: 248-253 - 2011
- [j1]Kensuke Tanioka, Hiroshi Yadohisa:
Hierarchical clustering algorithm with combined criteria for large and complex similarity data. Int. J. Knowl. Eng. Soft Data Paradigms 3(2): 121-131 (2011) - 2010
- [c1]Kensuke Tanioka, Hiroshi Yadohisa:
Effect of Data Standardization on the Result of k-Means Clustering. GfKl 2010: 59-67
Coauthor Index
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