Papers Data Visualization
“Data Visualization” 태그가 달린 논문 335편 · 필터 해제
A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasks
In recent years, Face Anti-Spoofing (FAS) has played a crucial role in preserving the security of face recognition technology. With the rise of counterfeit face generation techniques, the challenge posed by digitally edi…
Data AugmentationData VisualizationFace Anti-SpoofingFace Generation+1Curvature Augmented Manifold Embedding and Learning
A new dimensional reduction (DR) and data visualization method, Curvature-Augmented Manifold Embedding and Learning (CAMEL), is proposed. The key novel contribution is to formulate the DR problem as a mechanistic/physics…
Data VisualizationDimensionality ReductionMetric LearningSupervised dimensionality reductionFrom Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
Data visualization in the form of charts plays a pivotal role in data analysis, offering critical insights and aiding in informed decision-making. Automatic chart understanding has witnessed significant advancements with…
Chart UnderstandingData VisualizationChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization
Data visualization serves as a critical means for presenting data and mining its valuable insights. The task of chart summarization, through natural language processing techniques, facilitates in-depth data analysis of c…
Data VisualizationRetrievalDiffRed: Dimensionality Reduction guided by stable rank
In this work, we propose a novel dimensionality reduction technique, DiffRed, which first projects the data matrix, A, along first $k_1$ principal components and the residual matrix $A^{*}$ (left after subtracting its $k…
Data SummarizationData VisualizationDimensionality ReductionSalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization
The voluminous nature of geospatial temporal data from physical monitors and simulation models poses challenges to efficient data access, often resulting in cumbersome temporal selection experiences in web-based data por…
Data VisualizationMatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization
Scientific data visualization plays a crucial role in research by enabling the direct display of complex information and assisting researchers in identifying implicit patterns. Despite its importance, the use of Large La…
Code GenerationData VisualizationAdvanceSplice: Integrating N-gram one-hot encoding and ensemble modeling for enhanced accuracy
Accurate splice site prediction is a critical challenge in genomics, essential for understanding gene expression and disease-associated mutations. Splice sites mark the boundaries between exons and introns in genetic seq…
ClassificationData VisualizationEnsemble LearningFeature Engineering+2On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
Network Intrusion Detection Systems (NIDS) are a fundamental tool in cybersecurity. Their ability to generalize across diverse networks is a critical factor in their effectiveness and a prerequisite for real-world applic…
Data VisualizationIntrusion DetectionNetwork Intrusion DetectionPrompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization
Data visualization (DV) systems are increasingly recognized for their profound capability to uncover insights from vast datasets, gaining attention across both industry and academia. Crafting data queries is an essential…
Data VisualizationIn-Context LearningScilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research
One problem with researching cognitive modeling and reinforcement learning (RL) is that researchers spend too much time on setting up an appropriate computational framework for their experiments. Many open source impleme…
Data VisualizationHyperparameter OptimizationOpenAI Gymreinforcement-learning+2Underspecified Human Decision Experiments Considered Harmful
Decision-making with information displays is a key focus of research in areas like human-AI collaboration and data visualization. However, what constitutes a decision problem, and what is required for an experiment to co…
AttributeData VisualizationDecision MakingTowards Predicting the Quality of Red Wine Using Novel Machine Learning Methods for Classification, Data Visualization and Analysis
There is a growing concern among consumers and the wine industry regarding the quality of wine. Traditionally, wine experts determined its quality through tasting, which was time-consuming. Therefore, there is a need to …
Data VisualizationEnsemble LearningOutlier DetectionRed Wine Quality PredictionEfficient Neural Representation of Volumetric Data using Coordinate-Based Networks
In this paper, we propose an efficient approach for the compression and representation of volumetric data utilizing coordinate-based networks and multi-resolution hash encoding. Efficient compression of volumetric data i…
Data VisualizationMeta-LearningAnalyses and Concerns in Precision Medicine: A Statistical Perspective
This article explores the critical role of statistical analysis in precision medicine. It discusses how personalized healthcare is enhanced by statistical methods that interpret complex, multidimensional datasets, focusi…
Data IntegrationData VisualizationChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning
Charts play a vital role in data visualization, understanding data patterns, and informed decision-making. However, their unique combination of graphical elements (e.g., bars, lines) and textual components (e.g., labels,…
Data VisualizationDecision MakingInstruction FollowingLanguage Modeling+1PlayMolecule Viewer: a toolkit for the visualization of molecules and other data
PlayMolecule Viewer is a web-based data visualization toolkit designed to streamline the exploration of data resulting from structural bioinformatics or computer-aided drug design efforts. By harnessing state-of-the-art …
Data VisualizationDrug DesignEnhancing Financial Data Visualization for Investment Decision-Making
Navigating the intricate landscape of financial markets requires adept forecasting of stock price movements. This paper delves into the potential of Long Short-Term Memory (LSTM) networks for predicting stock dynamics, w…
Data VisualizationDecision Makingfeature selectionStock Market Prediction+1Quantum Kernel t-Distributed Stochastic Neighbor Embedding
Data visualization is important in understanding the characteristics of data that are difficult to see directly. It is used to visualize loss landscapes and optimization trajectories to analyze optimization performance. …
Data VisualizationQuantum Machine LearningMetric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams
Metric embeddings are a widely used method in algorithm design, where generally a ``complex'' metric is embedded into a simpler, lower-dimensional one. Historically, the theoretical computer science community has focused…
Data Visualization