Papers Data Visualization
“Data Visualization” 태그가 달린 논문 335편 · 필터 해제
Sketching Merge Trees for Scientific Data Visualization
Merge trees are a type of topological descriptors that record the connectivity among the sublevel sets of scalar fields. They are among the most widely used topological tools in visualization. In this paper, we are inter…
Data VisualizationUnderstanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Dimension reduction (DR) techniques such as t-SNE, UMAP, and TriMAP have demonstrated impressive visualization performance on many real world datasets. One tension that has always faced these methods is the trade-off bet…
Data AugmentationData VisualizationDimensionality ReductionWI Fast Stats: a collection of web apps for the visualization and analysis of WI Fast Plants data
WI Fast Stats is the first and only dedicated tool tailored to the WI Fast Plants educational objectives. WI Fast Stats is an integrated animated web page with a collection of R-developed web apps that provide Data Visua…
Data VisualizationCovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information
The entire world is engulfed in the fight against the COVID-19 pandemic, leading to a significant surge in research experiments, government policies, and social media discussions. A multi-modal information access and dat…
ArticlesData VisualizationTracking and Visualizing Signs of Degradation for an Early Failure Prediction of a Rolling Bearing
Predictive maintenance, i.e. predicting failure to be few steps ahead of the fault, is one of the pillars of Industry 4.0. An effective method for that is to track early signs of degradation before a failure happens. Thi…
Data VisualizationVisual Exploration and Knowledge Discovery from Biomedical Dark Data
Data visualization techniques proffer efficient means to organize and present data in graphically appealing formats, which not only speeds up the process of decision making and pattern recognition but also enables decisi…
Data VisualizationDecision MakingInformation RetrievalLexical AnalysisImproving Emergency Response during Hurricane Season using Computer Vision
We have developed a framework for crisis response and management that incorporates the latest technologies in computer vision (CV), inland flood prediction, damage assessment and data visualization. The framework uses da…
Data VisualizationDecision MakingDisaster ResponseLine Detection+2Understanding Reflection Needs for Personal Health Data in Diabetes
To empower users of wearable medical devices, it is important to enable methods that facilitate reflection on previous care to improve future outcomes. In this work, we conducted a two-phase user-study involving patients…
Data IntegrationData VisualizationManagementLearning Adaptive Sampling and Reconstruction for Volume Visualization
A central challenge in data visualization is to understand which data samples are required to generate an image of a data set in which the relevant information is encoded. In this work, we make a first step towards answe…
Data VisualizationNeural RenderingTrajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data
Large observational clinical datasets become increasingly available for mining associations between various disease traits and administered therapy. These datasets can be considered as representations of the landscape of…
ClusteringData VisualizationDimensionality Reductionfeature selection+2An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19
The COVID-19 outbreak has dramatically changed travel behavior in affected cities. The C2SMART research team has been investigating the impact of COVID-19 on mobility and sociability. New York City (NYC) and Seattle, two…
Cloud ComputingData VisualizationClustering with Tangles: Algorithmic Framework and Theoretical Guarantees
Originally, tangles were invented as an abstract tool in mathematical graph theory to prove the famous graph minor theorem. In this paper, we showcase the practical potential of tangles in machine learning applications. …
ClusteringCommunity DetectionData VisualizationControlling for sparsity in sparse factor analysis models: adaptive latent feature sharing for piecewise linear dimensionality reduction
Ubiquitous linear Gaussian exploratory tools such as principle component analysis (PCA) and factor analysis (FA) remain widely used as tools for: exploratory analysis, pre-processing, data visualization and related tasks…
blind source separationData VisualizationDimensionality ReductionSupervised Visualization for Data Exploration
Dimensionality reduction is often used as an initial step in data exploration, either as preprocessing for classification or regression or for visualization. Most dimensionality reduction techniques to date are unsupervi…
Data VisualizationDimensionality ReductionSupervised dimensionality reductionGeneralized Penalty for Circular Coordinate Representation
Topological Data Analysis (TDA) provides novel approaches that allow us to analyze the geometrical shapes and topological structures of a dataset. As one important application, TDA can be used for data visualization and …
Data VisualizationDimensionality ReductionTopological Data AnalysisCOVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining
With the spread and development of new epidemics, it is of great reference value to identify the changing trends of epidemics in public emotions. We designed and implemented the COVID-19 public opinion monitoring system …
Chinese Sentiment AnalysisData VisualizationSentiment AnalysisTime Series+1Feeling Like It is Time to Reopen Now? COVID-19 New Normal Scenarios based on Reopening Sentiment Analytics
The Coronavirus pandemic has created complex challenges and adverse circumstances. This research discovers public sentiment amidst problematic socioeconomic consequences of the lockdown, and explores ensuing four potenti…
Data VisualizationA Showcase of the Use of Autoencoders in Feature Learning Applications
Autoencoders are techniques for data representation learning based on artificial neural networks. Differently to other feature learning methods which may be focused on finding specific transformations of the feature spac…
Anomaly DetectionData VisualizationDenoisingRepresentation LearningFaceted Search of Heterogeneous Geographic Information for Dynamic Map Projection
This paper proposes a faceted information exploration model that supports coarse-grained and fine-grained focusing of geographic maps by offering a graphical representation of data attributes within interactive widgets. …
Data VisualizationAugmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization
Our goal is to develop an intelligent assistant to support users explore data via visualizations. We have collected a new corpus of conversations, CHICAGO-CRIME-VIS, geared towards supporting data visualization explorati…
Data AugmentationData VisualizationDialogue Act ClassificationWord Embeddings