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Found 5 papers, 3 papers with code
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction
Multivariate networks are commonly found in real-world data-driven applications.
Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns
Dimensionality reduction (DR) plays a vital role in the visual analysis of high-dimensional data.
Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect
Common reporting styles for statistical results in scientific articles, such as p-values and confidence intervals (CI), have been reported to be prone to dichotomous interpretations, especially with respect to the null hypothesis significance testing framework.
Other Statistics Human-Computer Interaction
Classifying the classifier: dissecting the weight space of neural networks
of neural network classifiers, and train a large number of models to represent the weight space.
A Unified Framework for Multi-Sensor HDR Video Reconstruction
We present an implementation in CUDA and show real-time performance for an experimental 4 Mpixel multi-sensor HDR video system.
