Data Visualization
85 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Data Visualization
MIMI dataset
PJM(AEP)
Latest papers
Ellipsoid fitting with the Cayley transform
We introduce Cayley transform ellipsoid fitting (CTEF), an algorithm that uses the Cayley transform to fit ellipsoids to noisy data in any dimension.
NeuroDAVIS: A neural network model for data visualization
For the biological datasets, besides t-SNE, UMAP and Fit-SNE, NeuroDAVIS has also performed well compared to other state-of-the-art algorithms, like Potential of Heat-diffusion for Affinity-based Trajectory Embedding (PHATE) and the siamese neural network-based method, called IVIS.
Multi-task Meta Label Correction for Time Series Prediction
senyuanya/mmlc
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To address the above issues, we create a label correction method to time series data with meta-learning under a multi-task framework.
Linear-scaling kernels for protein sequences and small molecules outperform deep learning while providing uncertainty quantitation and improved interpretability
We compare the performance of xGPR with the reported performance of various deep learning models on 20 benchmarks, including small molecule, protein sequence and tabular data.
A general framework for implementing distances for categorical variables
For categorical data, the definition of a distance is more complex, as there is no straightforward quantification of the size of the observed differences.
A Spectral Method for Assessing and Combining Multiple Data Visualizations
Then it leverages the eigenscores to obtain a consensus visualization, which has much improved { quality over the individual visualizations in capturing the underlying true data structure.}
Feature-Based Time-Series Analysis in R using the theft Package
With an increasing volume and complexity of time-series datasets in the sciences and industry, theft provides a standardized framework for comprehensively quantifying and interpreting informative structure in time series.
LineCap: Line Charts for Data Visualization Captioning Models
Data visualization captions help readers understand the purpose of a visualization and are crucial for individuals with visual impairments.
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance
The utilization of artificial intelligence (AI) applications has experienced tremendous growth in recent years, bringing forth numerous benefits and conveniences.
Plotly-Resampler: Effective Visual Analytics for Large Time Series
We observe that open source Python visualization toolkits empower data scientists in most visual analytics tasks, but lack the combination of scalability and interactivity to realize effective time series visualization.
