Takanori Fujiwara

Orcid: 0000-0002-6382-2752

According to our database¹, Takanori Fujiwara authored at least 35 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

A Computational Design Pipeline to Fabricate Sensing Network Physicalizations.

[BibT_eX]

[DOI]

Danielle Albers Szafir

IEEE Trans. Vis. Comput. Graph., January, 2024

Adversarial Attacks on Machine Learning-Aided Visualizations.

[BibT_eX]

[DOI]

Takanori Fujiwara

Kostiantyn Kucher

Junpeng Wang

Rafael Messias Martins

Andreas Kerren

Anders Ynnerman

CoRR, 2024

GhostUMAP: Measuring Pointwise Instability in Dimensionality Reduction.

[BibT_eX]

[DOI]

Myeongwon Jung

Takanori Fujiwara

Jaemin Jo

Proceedings of the IEEE Visualization and Visual Analytics, 2024

2023

Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks.

[BibT_eX]

[DOI]

ACM Trans. Interact. Intell. Syst., December, 2023

A Predictive Visual Analytics System for Studying Neurodegenerative Disease Based on DTI Fiber Tracts.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., April, 2023

Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction.

[BibT_eX]

[DOI]

CoRR, 2023

Reflections on the Developments of Visual Analytics Systems for the K Computer System Log Data.

[BibT_eX]

[DOI]

Proceedings of the Gap between Visualization Research and Visualization Software, 2023

Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

2022

A Visual Analytics Approach for Hardware System Monitoring with Streaming Functional Data Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2022

Interactive Dimensionality Reduction for Comparative Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2022

Network Comparison with Interpretable Contrastive Network Representation Learning.

[BibT_eX]

[DOI]

J. Data Sci. Stat. Vis., 2022

Feature Learning for Dimensionality Reduction toward Maximal Extraction of Hidden Patterns.

[BibT_eX]

[DOI]

CoRR, 2022

A Machine-learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022

2021

Advancing Visual Analytics Using Dimensionality Reduction.

[BibT_eX]

[DOI]

Takanori Fujiwara

PhD thesis, 2021

A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2021

A Visual Analytics System for Water Distribution System Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Visualization Conference, 2021

A Visual Analytics Method for Time-Series Log Data Using Multiple Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2021

A Visual Analytics Approach for the Diagnosis of Heterogeneous and Multidimensional Machine Maintenance Data.

[BibT_eX]

[DOI]

Xiaoyu Zhang

Takanori Fujiwara

Senthil K. Chandrasegaran

Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020

A visual analytics system for multi-model comparison on clinical data predictions.

[BibT_eX]

[DOI]

Vis. Informatics, 2020

Comparative visual analytics for assessing medical records with sequence embedding.

[BibT_eX]

[DOI]

Vis. Informatics, 2020

Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning.

[BibT_eX]

[DOI]

Takanori Fujiwara

Oh-Hyun Kwon

Kwan-Liu Ma

IEEE Trans. Vis. Comput. Graph., 2020

An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2020

A Visual Analytics Approach to Monitor Time-Series Data with Incremental and Progressive Functional Data Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups.

[BibT_eX]

[DOI]

Takanori Fujiwara

Tzu-Ping Liu

CoRR, 2020

Interpretable Contrastive Learning for Networks.

[BibT_eX]

[DOI]

CoRR, 2020

A Visual Analytics Framework for Contrastive Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE Conference on Visual Analytics Science and Technology, 2020

A Visual Analytics Framework for Reviewing Streaming Performance Data.

[BibT_eX]

[DOI]

Christopher D. Carothers

Robert B. Ross

Kwan-Liu Ma

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2018

A visual analytics system for optimizing the performance of large-scale networks in supercomputing systems.

[BibT_eX]

[DOI]

Christopher D. Carothers

Robert B. Ross

Kwan-Liu Ma

Vis. Informatics, 2018

Concise provenance of interactive network analysis.

[BibT_eX]

[DOI]

Takanori Fujiwara

Tarik Crnovrsanin

Kwan-Liu Ma

Vis. Informatics, 2018

An Organic Visual Metaphor for Public Understanding of Conditional Co-occurrences.

[BibT_eX]

[DOI]

Keshav Dasu

Takanori Fujiwara

Kwan-Liu Ma

Proceedings of the 2018 IEEE Scientific Visualization Conference, 2018

2017

A Visual Analytics System for Optimizing Communications in Massively Parallel Applications.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE Conference on Visual Analytics Science and Technology, 2017

A gesture system for graph visualization in virtual reality environments.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

A visual analytics system for brain functional connectivity comparison across individuals, groups, and time points.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

2011

A fractal-based 2D expansion method for multi-scale volume data visualization.

[BibT_eX]

[DOI]

J. Vis., 2011

2010

Fractal Map: Fractal-Based 2D Expansion Method for Multi-scale High-Dimensional Data Visualization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Takanori Fujiwara

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