100 citations · 268 across the 20 of their papers we have counts for
9 papers · 1 filter
A Visual Analytics Approach for Hardware System Monitoring with Streaming Functional Data Analysis
Fnu Shilpika, Takanori Fujiwara, Naohisa Sakamoto +2
Many real-world applications involve analyzing time-dependent phenomena, which are intrinsically functional, consisting of curves varying over a continuum (e.g., time). When analyz…
A Predictive Visual Analytics System for Studying Neurodegenerative Disease based on DTI Fiber Tracts
Chaoqing Xu, Tyson Neuroth, Takanori Fujiwara +2
Diffusion tensor imaging (DTI) has been used to study the effects of neurodegenerative diseases on neural pathways, which may lead to more reliable and early diagnosis of these dis…
A Visual Analytics Framework for Contrastive Network Analysis
Takanori Fujiwara, Jian Zhao, Francine Chen +1
A common network analysis task is comparison of two networks to identify unique characteristics in one network with respect to the other. For example, when comparing protein intera…
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction
Takanori Fujiwara, Shilpika, Naohisa Sakamoto +3
Data-driven problem solving in many real-world applications involves analysis of time-dependent multivariate data, for which dimensionality reduction (DR) methods are often used to…
Contrastive Multiple Correspondence Analysis (cMCA): Using Contrastive Learning to Identify Latent Subgroups in Political Parties
Takanori Fujiwara, Tzu-Ping Liu
Scaling methods have long been utilized to simplify and cluster high-dimensional data. However, the general latent spaces across all predefined groups derived from these methods so…
Network Comparison with Interpretable Contrastive Network Representation Learning
Takanori Fujiwara, Jian Zhao, Francine Chen +2
Identifying unique characteristics in a network through comparison with another network is an essential network analysis task. For example, with networks of protein interactions ob…
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions
Yiran Li, Takanori Fujiwara, Yong K. Choi +2
There is a growing trend of applying machine learning methods to medical datasets in order to predict patients' future status. Although some of these methods achieve high performan…
Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding
Rongchen Guo, Takanori Fujiwara, Yiran Li +4
Machine learning for data-driven diagnosis has been actively studied in medicine to provide better healthcare. Supporting analysis of a patient cohort similar to a patient under tr…
A Visual Analytics Framework for Reviewing Streaming Performance Data
Suraj P. Kesavan, Takanori Fujiwara, Jianping Kelvin Li +5
Understanding and tuning the performance of extreme-scale parallel computing systems demands a streaming approach due to the computational cost of applying offline algorithms to va…