Papers Data Visualization
“Data Visualization” 태그가 달린 논문 335편 · 필터 해제
Development of End-to-End Low-Cost IoT System for Densely Deployed PM Monitoring Network: An Indian Case Study
Particulate matter (PM) is considered the primary contributor to air pollution and has severe implications for general health. PM concentration has high spatial variability and thus needs to be monitored locally. Traditi…
Data VisualizationSpatial InterpolationConverting OpenStreetMap Data to Road Networks for Downstream Applications
We study how to convert OpenStreetMap data to road networks for downstream applications. OpenStreetMap data has different formats. Extensible Markup Language (XML) is one of them. OSM data consist of nodes, ways, and rel…
Data VisualizationInteractive cohort exploration for spinocerebellar ataxias using synthetic cohort data for visualization
Motivation: Visualization of data is a crucial step to understanding and deriving hypotheses from clinical data. However, for clinicians, visualization often comes with great effort due to the lack of technical knowledge…
Data VisualizationA Spectral Method for Assessing and Combining Multiple Data Visualizations
Dimension reduction and data visualization aim to project a high-dimensional dataset to a low-dimensional space while capturing the intrinsic structures in the data. It is an indispensable part of modern data science, an…
Data VisualizationDimensionality ReductionApplications of Machine Learning in Pharmacogenomics: Clustering Plasma Concentration-Time Curves
Pharmaceutical researchers are continually searching for techniques to improve both drug development processes and patient outcomes. An area of recent interest is the potential for machine learning (ML) applications with…
ClusteringData VisualizationDescriptiveDynamic Time Warping+2Transformer-based dimensionality reduction
Recently, Transformer is much popular and plays an important role in the fields of Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision (CV), etc. In this paper, based on the Vision Transformer (…
Data VisualizationDimensionality ReductionFace RecognitionImage ReconstructionA Recommendation Approach based on Similarity-Popularity Models of Complex Networks
Recommender systems have become an essential tool for providers and users of online services and goods, especially with the increased use of the Internet to access information and purchase products and services. This wor…
Data VisualizationRecommendation SystemsFoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks
Volume data is found in many important scientific and engineering applications. Rendering this data for visualization at high quality and interactive rates for demanding applications such as virtual reality is still not …
Data VisualizationImage ReconstructionQuantizationA Complex Network based Graph Embedding Method for Link Prediction
Graph embedding methods aim at finding useful graph representations by mapping nodes to a low-dimensional vector space. It is a task with important downstream applications, such as link prediction, graph reconstruction, …
Data VisualizationGraph EmbeddingGraph ReconstructionLanguage Modeling+3Feature-Based Time-Series Analysis in R using the theft Package
Time series are measured and analyzed across the sciences. One method of quantifying the structure of time series is by calculating a set of summary statistics or `features', and then representing a time series in terms …
Data VisualizationTime SeriesTime Series AnalysisTime Series ClassificationIDLat: An Importance-Driven Latent Generation Method for Scientific Data
Deep learning based latent representations have been widely used for numerous scientific visualization applications such as isosurface similarity analysis, volume rendering, flow field synthesis, and data reduction, just…
Data VisualizationLaplacian-based Cluster-Contractive t-SNE for High Dimensional Data Visualization
Dimensionality reduction techniques aim at representing high-dimensional data in low-dimensional spaces to extract hidden and useful information or facilitate visual understanding and interpretation of the data. However,…
Data VisualizationDimensionality ReductionVocal Bursts Intensity PredictionLineCap: Line Charts for Data Visualization Captioning Models
Data visualization captions help readers understand the purpose of a visualization and are crucial for individuals with visual impairments. The prevalence of poor figure captions and the successful application of deep le…
Data VisualizationDeep LearningImage CaptioningSmart Mat Used for Prevention of Hospital-Acquired Pressure Injuries
This work develops a smart mat for monitoring body positions. We use Velostat as a force sensor resistance (FSR) to construct a sensor matrix over the mat to receive the pressure distribution of the patient's body, and t…
Data VisualizationPaVeDa - Pavia Verbs Database: Challenges and Perspectives
This paper describes an ongoing endeavor to construct Pavia Verbs Database (PaVeDa) – an open-access typological resource that builds upon previous work on verb argument structure, in particular the Valency Patterns Leip…
Data VisualizationWorldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance
The utilization of artificial intelligence (AI) applications has experienced tremendous growth in recent years, bringing forth numerous benefits and conveniences. However, this expansion has also provoked ethical concern…
Data VisualizationEthicsPlotly-Resampler: Effective Visual Analytics for Large Time Series
Visual analytics is arguably the most important step in getting acquainted with your data. This is especially the case for time series, as this data type is hard to describe and cannot be fully understood when using for …
Data VisualizationTime SeriesTime Series Analysis"Why Here and Not There?" -- Diverse Contrasting Explanations of Dimensionality Reduction
Dimensionality reduction is a popular preprocessing and a widely used tool in data mining. Transparency, which is usually achieved by means of explanations, is nowadays a widely accepted and crucial requirement of machin…
Data VisualizationDimensionality ReductionRecommendation SystemsExplainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery
Developing Machine Learning (ML) algorithms for heterogeneous/mixed data is a longstanding problem. Many ML algorithms are not applicable to mixed data, which include numeric and non-numeric data, text, graphs and so on …
Data VisualizationA Neural-Inspired Architecture for EEG-Based Auditory Attention Detection
Humans have the ability to focus on one of the sound sources in a noisy scene, which is critical for everyday communication. Auditory attention detection (AAD) seeks to detect selective attention from one’s brain signals…
Brain Computer InterfaceData VisualizationEEGEEG Signal Classification+1