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

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

2 August 2020

Takanori Fujiwara

Shilpika Shilpika

Naohisa Sakamoto

Papers citing "A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction"

7 / 7 papers shown

Title
DeepVATS: Deep Visual Analytics for Time Series V. Rodríguez-Fernández David Montalvo F. Piccialli Grzegorz J. Nalepa David Camacho AI4TS 19 7 0 08 Feb 2023
Estimation of Correlation Matrices from Limited time series Data using Machine Learning Nikhil Easaw Woo Soek Prashant Singh Lohiya S. Jalan Priodyuti Pradhan 18 6 0 02 Sep 2022
ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures Marina Evers R. Wittkowski Lars Linsen 16 0 0 13 Jul 2022
Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns Takanori Fujiwara Yun-Hsin Kuo Anders Ynnerman K. Ma 28 5 0 28 Jun 2022
A Machine-Learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data Yun-Hsin Kuo Takanori Fujiwara C. Chou Chun-Houh Chen K. Ma 9 2 0 11 Feb 2022
Exploring Multi-dimensional Data via Subset Embedding Peng Xie Wenyuan Tao Jie Li Wentao Huang Siming Chen AI4TS 24 12 0 24 Apr 2021
A Visual Analytics Approach for Hardware System Monitoring with Streaming Functional Data Analysis Fnu Shilpika Takanori Fujiwara Naohisa Sakamoto J. Nonaka K. Ma 16 9 0 26 Nov 2020