Papers Data Visualization
“Data Visualization” 태그가 달린 논문 335편 · 필터 해제
Random Forest Autoencoders for Guided Representation Learning
Extensive research has produced robust methods for unsupervised data visualization. Yet supervised visualization$\unicode{x2013}$where expert labels guide representations$\unicode{x2013}$remains underexplored, as most su…
Data VisualizationDimensionality ReductionRepresentation LearningAutomated Visualization Code Synthesis via Multi-Path Reasoning and Feedback-Driven Optimization
Rapid advancements in Large Language Models (LLMs) have accelerated their integration into automated visualization code generation applications. Despite advancements through few-shot prompting and query expansion, existi…
Code GenerationData VisualizationNatural Language QueriesBoosting of Classification Models with Human-in-the-Loop Computational Visual Knowledge Discovery
High-risk artificial intelligence and machine learning classification tasks, such as healthcare diagnosis, require accurate and interpretable prediction models. However, classifier algorithms typically sacrifice individu…
Data VisualizationnvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow
Natural Language to Visualization (NL2Vis) seeks to convert natural-language descriptions into visual representations of given tables, empowering users to derive insights from large-scale data. Recent advancements in Lar…
Code GenerationCode TranslationData VisualizationPlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback
Scientific data visualization is pivotal for transforming raw data into comprehensible visual representations, enabling pattern recognition, forecasting, and the presentation of data-driven insights. However, novice user…
Code GenerationData VisualizationSynthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications
Large language models (LLMs) have facilitated the generation of high-quality, cost-effective synthetic data for developing downstream models and conducting statistical analyses in various domains. However, the increased …
Data Visualizationtext-classificationText ClassificationText SummarizationUnlocking the Potential: A Novel Tool for Assessing Untapped Micro-Pumped Hydro Energy Storage Systems in Michigan
This study presents an innovative tool designed to unlock the potential of Michigan's lakes and dams for applications such as water resource management and renewable energy generation. Given Michigan's relatively flat la…
Data VisualizationDecision MakingAutomating Date Format Detection for Data Visualization
Data preparation, specifically date parsing, is a significant bottleneck in analytic workflows. To address this, we present two algorithms, one based on minimum entropy and the other on natural language modeling that aut…
Data VisualizationLanguage ModelingLanguage ModellingFaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis
Machine learning algorithms are increasingly being applied to fault detection and diagnosis (FDD) in chemical processes. However, existing data-driven FDD platforms often lack interpretability for process operators and s…
Data VisualizationFault DetectionFederated t-SNE and UMAP for Distributed Data Visualization
High-dimensional data visualization is crucial in the big data era and these techniques such as t-SNE and UMAP have been widely used in science and engineering. Big data, however, is often distributed across multiple dat…
ClusteringData VisualizationFederated LearningTowards Automated Cross-domain Exploratory Data Analysis through Large Language Models
Exploratory data analysis (EDA), coupled with SQL, is essential for data analysts involved in data exploration and analysis. However, data analysts often encounter two primary challenges: (1) the need to craft SQL querie…
Data VisualizationDomain GeneralizationText to SQLText-To-SQLA novel robust integrating method by high-order proximity for self-supervised attribute network embedding
Attribute network embedding faces significant challenges, primarily integrating heterogeneous information and managing outliers. In this paper, we introduce a novel Robust Integrating Method by High-order Proximity for S…
AttributeData VisualizationGraph Outlier DetectionLink Prediction+2Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation
With the rapid growth of interdisciplinary demands for geospatial modeling and the rise of large language models (LLMs), geospatial code generation technology has seen significant advancements. However, existing LLMs oft…
Code GenerationData VisualizationHallucinationAttraction-Repulsion Swarming: A Generalized Framework of t-SNE via Force Normalization and Tunable Interactions
We propose a new method for data visualization based on attraction-repulsion swarming (ARS) dynamics, which we call ARS visualization. ARS is a generalized framework that is based on viewing the t-distributed stochastic …
Data VisualizationUnderstanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models
Vision Language Models (VLMs) have been successful at many chart comprehension tasks that require attending to both the images of charts and their accompanying textual descriptions. However, it is not well established ho…
Data VisualizationDiceplot: A package for high dimensional categorical data visualization
Visualization of multidimensional, categorical data is a common challenge across scientific areas and, in particular, the life sciences. The goal is to create a comprehensive overview of the underlying data which allows …
Data VisualizationAlternatives of Unsupervised Representations of Variables on the Latent Space
The article addresses the application of unsupervised machine learning to represent variables on the 2D latent space by applying a variational autoencoder (beta-VAE). Representation of variables on low dimensional spaces…
Data VisualizationDisentanglementAssessing Alcohol Use Disorder: Insights from Lifestyle, Background, and Family History with Machine Learning Techniques
This study explored how lifestyle, personal background, and family history contribute to the risk of developing Alcohol Use Disorder (AUD). Survey data from the All of Us Program was utilized to extract information on AU…
Data VisualizationUser-centric evaluation of explainability of AI with and for humans: a comprehensive empirical study
This study is located in the Human-Centered Artificial Intelligence (HCAI) and focuses on the results of a user-centered assessment of commonly used eXplainable Artificial Intelligence (XAI) algorithms, specifically inve…
Data VisualizationExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)G-NeuroDAVIS: A Neural Network model for generalized embedding, data visualization and sample generation
Visualizing high-dimensional datasets through a generalized embedding has been a challenge for a long time. Several methods have shown up for the same, but still, they have not been able to generate a generalized embeddi…
Data VisualizationRepresentation Learning