Papers Data Visualization
“Data Visualization” 태그가 달린 논문 335편 · 필터 해제
Capturing Visualization Design Rationale
Prior natural language datasets for data visualization have focused on tasks such as visualization literacy assessment, insight generation, and visualization generation from natural language instructions. These studies o…
Data VisualizationAn Empirical Study of Bugs in Data Visualization Libraries
Data visualization (DataViz) libraries play a crucial role in presentation, data analysis, and application development, underscoring the importance of their accuracy in transforming data into visual representations. Inco…
Data VisualizationDecision MakingVIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation
Data visualization generation using Large Language Models (LLMs) has shown promising results but often produces suboptimal visualizations that require human intervention for improvement. In this work, we introduce VIS-Sh…
Data VisualizationLanguage ModelingLanguage ModellingLarge Language Model+1Learning-based density-equalizing map
Density-equalizing map (DEM) serves as a powerful technique for creating shape deformations with the area changes reflecting an underlying density function. In recent decades, DEM has found widespread applications in fie…
Data VisualizationMapping correlations and coherence: adjacency-based approach to data visualization and regularity discovery
The development of science has been transforming man's view towards nature for centuries. Observing structures and patterns in an effective approach to discover regularities from data is a key step toward theory-building…
Data VisualizationCHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Models
Data visualizations are powerful tools for communicating patterns in quantitative data. Yet understanding any data visualization is no small feat -- succeeding requires jointly making sense of visual, numerical, and ling…
Data VisualizationNOMAD Projection
The rapid adoption of generative AI has driven an explosion in the size of datasets consumed and produced by AI models. Traditional methods for unstructured data visualization, such as t-SNE and UMAP, have not kept up wi…
Data VisualizationDimensionality ReductionA Study of Data-driven Methods for Inventory Optimization
This paper shows a comprehensive analysis of three algorithms (Time Series, Random Forest (RF) and Deep Reinforcement Learning) into three inventory models (the Lost Sales, Dual-Sourcing and Multi-Echelon Inventory Model…
Data VisualizationDecision MakingDeep Reinforcement LearningData Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models
Effective data visualization requires not only technical proficiency but also a deep understanding of the domain-specific context in which data exists. This context often includes tacit knowledge about data provenance, q…
Data VisualizationLanguage ModelingLanguage ModellingLarge Language ModelAscribe New Dimensions to Scientific Data Visualization with VR
For over half a century, the computer mouse has been the primary tool for interacting with digital data, yet it remains a limiting factor in exploring complex, multi-scale scientific images. Traditional 2D visualization …
Data Visualizationscientific discoverySee or Recall: A Sanity Check for the Role of Vision in Solving Visualization Question Answer Tasks with Multimodal LLMs
Recent developments in multimodal large language models (MLLM) have equipped language models to reason about vision and language jointly. This permits MLLMs to both perceive and answer questions about data visualization …
Data VisualizationQuestion AnsweringMachine Learning Reveals Composition Dependent Thermal Stability in Halide Perovskites
Halide perovskites exhibit unpredictable properties in response to environmental stressors, due to several composition-dependent degradation mechanisms. In this work, we apply data visualization and machine learning (ML)…
Data VisualizationDimensionality ReductionFeature ImportanceOLAF: An Open Life Science Analysis Framework for Conversational Bioinformatics Powered by Large Language Models
OLAF (Open Life Science Analysis Framework) is an open-source platform that enables researchers to perform bioinformatics analyses using natural language. By combining large language models (LLMs) with a modular agent-pi…
Data VisualizationChallenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models
In recent years, the rapid development of large reasoning models has resulted in the saturation of existing benchmarks for evaluating mathematical reasoning, highlighting the urgent need for more challenging and rigorous…
Data VisualizationMathMathematical ReasoningBayesian generative models can flag performance loss, bias, and out-of-distribution image content
Generative models are popular for medical imaging tasks such as anomaly detection, feature extraction, data visualization, or image generation. Since they are parameterized by deep learning models, they are often sensiti…
Anomaly DetectionData VisualizationImage GenerationUncertainty QuantificationEnhanced High-Dimensional Data Visualization through Adaptive Multi-Scale Manifold Embedding
To address the dual challenges of the curse of dimensionality and the difficulty in separating intra-cluster and inter-cluster structures in high-dimensional manifold embedding, we proposes an Adaptive Multi-Scale Manifo…
Data VisualizationBizard: A Community-Driven Platform for Accelerating and Enhancing Biomedical Data Visualization
Bizard is a novel visualization code repository designed to simplify data analysis in biomedical research. It integrates diverse visualization codes, facilitating the selection and customization of optimal visualization …
Data VisualizationTo Vaccinate or not to Vaccinate? Analyzing $\mathbb{X}$ Power over the Pandemic
The COVID-19 pandemic has profoundly affected the normal course of life -- from lock-downs and virtual meetings to the unprecedentedly swift creation of vaccines. To halt the COVID-19 pandemic, the world has started prep…
Data VisualizationNavigateSentiment AnalysisMerging Hazy Sets with m-Schemes: A Geometric Approach to Data Visualization
Many machine learning algorithms try to visualize high dimensional metric data in 2D in such a way that the essential geometric and topological features of the data are highlighted. In this paper, we introduce a framewor…
Data VisualizationAdversarial network embedding with bootstrapped representations for sparse networks
The inherent sparsity of real-world networks presents challenges in learning-rich embeddings and accurately reconstructing networks. To address these challenges, a novel method termed Adversarial Network Embedding with B…
Data VisualizationLink PredictionNetwork EmbeddingNode Classification