Data Visualization
80 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Data Visualization
MIMI dataset
PJM(AEP)
Latest papers with no code
ChartThinker: 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.
Prompt4Vis: 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.
Scilab-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.
Decision Theoretic Foundations for Experiments Evaluating Human Decisions
We argue that to attribute loss in human performance to forms of bias, an experiment must provide participants with the information that a rational agent would need to identify the normative decision.
Efficient Neural Representation of Volumetric Data using Coordinate-Based Networks
We compare different encoding schemes and demonstrate the superiority of multi-resolution hash encoding in terms of compression quality and training efficiency.
Analyses and Concerns in Precision Medicine: A Statistical Perspective
This article explores the critical role of statistical analysis in precision medicine.
PlayMolecule 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.
Enhancing Financial Data Visualization for Investment Decision-Making
Navigating the intricate landscape of financial markets requires adept forecasting of stock price movements.
Quantum Kernel t-Distributed Stochastic Neighbor Embedding
Since quantum states are higher dimensional objects that can only be seen via observables, our visualization method, which inherits the similarity of quantum data, would be useful in understanding the behavior of quantum circuits and algorithms.
A quasi-polynomial time algorithm for Multi-Dimensional Scaling via LP hierarchies
Multi-dimensional Scaling (MDS) is a family of methods for embedding an $n$-point metric into low-dimensional Euclidean space.
