Search Results for author:
Found 3 papers, 1 papers with code
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps
As the complexity of machine learning (ML) models increases and their application in different (and critical) domains grows, there is a strong demand for more interpretable and trustworthy ML.
Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reduction
The sharpening step aids this method to preserve cluster separation in the resulting 2D projection.
Deep Learning Multidimensional Projections
We train a deep neural network based on a collection of samples from a given data universe, and their corresponding projections, and next use the network to infer projections of data from the same, or similar, universes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
