13 citations · 14 across the 5 of their papers we have counts for
6 papers
Visual Analytics Using Tensor Unified Linear Comparative Analysis
Naoki Okami, Kazuki Miyake, Naohisa Sakamoto +2
Comparing tensors and identifying their (dis)similar structures is fundamental in understanding the underlying phenomena for complex data. Tensor decomposition methods help analyst…
Workflows Community Summit 2022: A Roadmap Revolution
Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala +102
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex s…
Information Entropy-based Camera Path Estimation for In-Situ Visualization
Ken Iwata, Naohisa Sakamoto, Jorji Nonaka +1
In-situ processing has widely been recognized as an effective approach for the visualization and analysis of large-scale simulation outputs from modern HPC systems. One of the most…
Angular-based Edge Bundled Parallel Coordinates Plot for the Visual Analysis of Large Ensemble Simulation Data
Keita Watanabe, Naohisa Sakamoto, Jorji Nonaka +1
With the continuous increase in the computational power and resources of modern high-performance computing (HPC) systems, large-scale ensemble simulations have become widely used i…
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 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…