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Takanori Fujiwara

Showing results (1-10 of 15) with videos related to

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Plos One|July 10, 2023
Contrastive multiple correspondence analysis (cMCA): Using contrastive learning to identify latent subgroups in political partiesTakanori Fujiwara, Tzu-Ping Liu
IEEE Transactions on Visualization and Computer Graphics|December 4, 2025
GhostUMAP2: Measuring and Analyzing (r,d)-Stability of UMAPMyeongwon Jung, Takanori Fujiwara, Jaemin Jo
IEEE Transactions on Visualization and Computer Graphics|August 20, 2019
Supporting Analysis of Dimensionality Reduction Results with Contrastive LearningTakanori Fujiwara, Oh-Hyun Kwon, Kwan-Liu Ma
IEEE Transactions on Visualization and Computer Graphics|September 30, 2021
Interactive Dimensionality Reduction for Comparative AnalysisTakanori Fujiwara, Xinhai Wei, Jian Zhao, et al.
IEEE Transactions on Visualization and Computer Graphics|May 18, 2026
MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual AnalysisZeyang Huang, Takanori Fujiwara, Angelos Chatzimparmpas, et al.
IEEE Transactions on Visualization and Computer Graphics|January 30, 2026
Visual Analytics Using Tensor Unified Linear Comparative AnalysisNaoki Okami, Kazuki Miyake, Naohisa Sakamoto, et al.
IEEE Transactions on Visualization and Computer Graphics|April 8, 2022
A Visual Analytics Approach for Hardware System Monitoring with Streaming Functional Data AnalysisShilpika, Takanori Fujiwara, Naohisa Sakamoto, et al.
IEEE Transactions on Visualization and Computer Graphics|December 29, 2021
A Predictive Visual Analytics System for Studying Neurodegenerative Disease Based on DTI Fiber TractsChaoqing Xu, Tyson Neuroth, Takanori Fujiwara, et al.
Journal of Data Science, Statistics, and Visualisation|February 6, 2024
Network Comparison with Interpretable Contrastive Network Representation LearningTakanori Fujiwara, Jian Zhao, Francine Chen, et al.
IEEE Transactions on Visualization and Computer Graphics|October 7, 2020
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality ReductionTakanori Fujiwara, Shilpika, Naohisa Sakamoto, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Plos One|July 10, 2023
Contrastive multiple correspondence analysis (cMCA): Using contrastive learning to identify latent subgroups in political partiesTakanori Fujiwara, Tzu-Ping Liu
IEEE Transactions on Visualization and Computer Graphics|December 4, 2025
GhostUMAP2: Measuring and Analyzing (r,d)-Stability of UMAPMyeongwon Jung, Takanori Fujiwara, Jaemin Jo
IEEE Transactions on Visualization and Computer Graphics|August 20, 2019
Supporting Analysis of Dimensionality Reduction Results with Contrastive LearningTakanori Fujiwara, Oh-Hyun Kwon, Kwan-Liu Ma
IEEE Transactions on Visualization and Computer Graphics|September 30, 2021
Interactive Dimensionality Reduction for Comparative AnalysisTakanori Fujiwara, Xinhai Wei, Jian Zhao, et al.
IEEE Transactions on Visualization and Computer Graphics|May 18, 2026
MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual AnalysisZeyang Huang, Takanori Fujiwara, Angelos Chatzimparmpas, et al.
IEEE Transactions on Visualization and Computer Graphics|January 30, 2026
Visual Analytics Using Tensor Unified Linear Comparative AnalysisNaoki Okami, Kazuki Miyake, Naohisa Sakamoto, et al.
IEEE Transactions on Visualization and Computer Graphics|April 8, 2022
A Visual Analytics Approach for Hardware System Monitoring with Streaming Functional Data AnalysisShilpika, Takanori Fujiwara, Naohisa Sakamoto, et al.
IEEE Transactions on Visualization and Computer Graphics|December 29, 2021
A Predictive Visual Analytics System for Studying Neurodegenerative Disease Based on DTI Fiber TractsChaoqing Xu, Tyson Neuroth, Takanori Fujiwara, et al.
Journal of Data Science, Statistics, and Visualisation|February 6, 2024
Network Comparison with Interpretable Contrastive Network Representation LearningTakanori Fujiwara, Jian Zhao, Francine Chen, et al.
IEEE Transactions on Visualization and Computer Graphics|October 7, 2020
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality ReductionTakanori Fujiwara, Shilpika, Naohisa Sakamoto, et al.
Pageof 2