Papers Data Visualization
“Data Visualization” 태그가 달린 논문 335편 · 필터 해제
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
Large language models (LLMs) have demonstrated strong capabilities across various language tasks, notably through instruction-tuning methods. However, LLMs face challenges in visualizing complex, real-world data through …
Data VisualizationSWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
Autonomous systems for software engineering are now capable of fixing bugs and developing features. These systems are commonly evaluated on SWE-bench (Jimenez et al., 2024a), which assesses their ability to solve softwar…
Data VisualizationUncertainty-aware t-distributed Stochastic Neighbor Embedding for Single-cell RNA-seq Data
Nonlinear data visualization using t-distributed stochastic neighbor embedding (t-SNE) enables the representation of complex single-cell transcriptomic landscapes in two or three dimensions to depict biological populatio…
Data VisualizationProblem-oriented AutoML in Clustering
The Problem-oriented AutoML in Clustering (PoAC) framework introduces a novel, flexible approach to automating clustering tasks by addressing the shortcomings of traditional AutoML solutions. Conventional methods often r…
AutoMLClusteringData VisualizationOpinion Mining on Offshore Wind Energy for Environmental Engineering
In this paper, we conduct sentiment analysis on social media data to study mass opinion about offshore wind energy. We adapt three machine learning models, namely, TextBlob, VADER, and SentiWordNet because different func…
Data VisualizationOpinion MiningSentiment AnalysisSubjectivity AnalysisQuantifying Knee Cartilage Shape and Lesion: From Image to Metrics
Imaging features of knee articular cartilage have been shown to be potential imaging biomarkers for knee osteoarthritis. Despite recent methodological advancements in image analysis techniques like image segmentation, re…
Data VisualizationImage RegistrationImage SegmentationMedical Image Analysis+1Formative Study for AI-assisted Data Visualization
This formative study investigates the impact of data quality on AI-assisted data visualizations, focusing on how uncleaned datasets influence the outcomes of these tools. By generating visualizations from datasets with i…
Data VisualizationVProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning
Charts are widely used for data visualization across various fields, including education, research, and business. Chart Question Answering (CQA) is an emerging task focused on the automatic interpretation and reasoning o…
Chart Question AnsweringData VisualizationLogical ReasoningQuestion AnsweringTwo-Stage Hierarchical and Explainable Feature Selection Framework for Dimensionality Reduction in Sleep Staging
Sleep is crucial for human health, and EEG signals play a significant role in sleep research. Due to the high-dimensional nature of EEG signal data sequences, data visualization and clustering of different sleep stages h…
Data VisualizationDimensionality ReductionEEGfeature selection+2ChartEye: A Deep Learning Framework for Chart Information Extraction
The widespread use of charts and infographics as a means of data visualization in various domains has inspired recent research in automated chart understanding. However, information extraction from chart images is a comp…
Chart UnderstandingClassificationData VisualizationDeep Learning+3Macro-Queries: An Exploration into Guided Chart Generation from High Level Prompts
This paper explores the intersection of data visualization and Large Language Models (LLMs). Driven by the need to make a broader range of data visualization types accessible for novice users, we present a guided LLM-bas…
Data VisualizationDataVisT5: A Pre-trained Language Model for Jointly Understanding Text and Data Visualization
Data visualization (DV) is the fundamental and premise tool to improve the efficiency in conveying the insights behind the big data, which has been widely accepted in existing data-driven world. Task automation in DV, su…
Data VisualizationLanguage ModelingLanguage ModellingNatural Language QueriesExploiting Formal Concept Analysis for Data Modeling in Data Lakes
Data lakes are widely used to store extensive and heterogeneous datasets for advanced analytics. However, the unstructured nature of data in these repositories introduces complexities in exploiting them and extracting me…
Data VisualizationExploring the extent of similarities in software failures across industries using LLMs
The rapid evolution of software development necessitates enhanced safety measures. Extracting information about software failures from companies is becoming increasingly more available through news articles. This researc…
ArticlesData VisualizationPrompt EngineeringOut-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions
Dimensionality reduction (DR) is a well-established approach for the visualization of high-dimensional data sets. While DR methods are often applied to typical DR benchmark data sets in the literature, they might suffer …
Data VisualizationDimensionality ReductionCitationMap: A Python Tool to Identify and Visualize Your Google Scholar Citations Around the World
CitationMap is an open-sourced Python-based tool designed to identify and visualize the geographical distribution of Google Scholar citations. By retrieving citation data and mapping them onto the world map, CitationMap …
Citation VisualizationData VisualizationGuiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic
Social media are a critical component of the information ecosystem during public health crises. Understanding the public discourse is essential for effective communication and misinformation mitigation. Computational met…
ClusteringData VisualizationHierarchical Text ClusteringMisinformation+4IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrations
This work introduces IsUMap, a novel manifold learning technique that enhances data representation by integrating aspects of UMAP and Isomap with Vietoris-Rips filtrations. We present a systematic and detailed constructi…
Data Visualizationfactgenie: A Framework for Span-based Evaluation of Generated Texts
We present factgenie: a framework for annotating and visualizing word spans in textual model outputs. Annotations can capture various span-based phenomena such as semantic inaccuracies or irrelevant text. With factgenie,…
Data VisualizationImproving multidimensional projection quality with user-specific metrics and optimal scaling
The growing prevalence of high-dimensional data has fostered the development of multidimensional projection (MP) techniques, such as t-SNE, UMAP, and LAMP, for data visualization and exploration. However, conventional MP…
Data VisualizationDecision Making