Kensuke Tanioka

According to our database, Kensuke Tanioka authored at least 15 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, May, 2024

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., December, 2023

Clustered Sparse Structural Equation Modeling for Heterogeneous Data.

Ippei Takasawa, Kensuke Tanioka, Hiroshi Yadohisa

J. Classif., November, 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, May, 2023

Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset.

Kyoka Yoshiok, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu

CoRR, 2023

2022

Thresholding Approach for Low-Rank Correlation Matrix Based on MM Algorithm.

Kensuke Tanioka, Yuki Furotani, Satoru Hiwa

Entropy, 2022

Performance Comparison of Deep Learning Architectures for Artifact Removal in Gastrointestinal Endoscopic Imaging.

Taira Watanabe, Kensuke Tanioka, Satoru Hiwa, Tomoyuki Hiroyasu

CoRR, 2022

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2019

Simultaneous Method of Orthogonal Non-metric Non-negative Matrix Factorization and Constrained Non-hierarchical Clustering.

Kensuke Tanioka, Hiroshi Yadohisa

J. Classif., 2019

2018

Unfolding Models for Asymmetric Dissimilarity Data With External Information Based on Path Structures.

Kensuke Tanioka, Hiroshi Yadohisa

Int. J. Softw. Innov., 2018

2017

Generalized Structured Component Analysis for Dissimilarity Data and Multivariate Data.

Kensuke Tanioka, Hiroshi Yadohisa

Proceedings of the 5th International Conference on Applied Computing and Information Technology, 2017

2016

Constrained analysis of asymmetric dissimilarity data by using both MDS and clustering.

Kensuke Tanioka

PhD thesis, 2016

2012

Subspace Hierarchical Clustering for Three-way Three-mode Data using Quadratic Regularization.

Kensuke Tanioka, Hiroshi Yadohisa

Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

2011

Hierarchical clustering algorithm with combined criteria for large and complex similarity data.

Kensuke Tanioka, Hiroshi Yadohisa

Int. J. Knowl. Eng. Soft Data Paradigms, 2011

2010

Effect of Data Standardization on the Result of k-Means Clustering.

Kensuke Tanioka, Hiroshi Yadohisa

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010