Interpretable Visualizations of Data Spaces for Classification Problems

7 March 2025

Papers citing "Interpretable Visualizations of Data Spaces for Classification Problems"

6 / 6 papers shown

Title
A data-driven interpretation of the stability of molecular crystals Rose K. Cersonsky Maria Pakhnova Edgar A. Engel Michele Ceriotti 62 3 0 21 Sep 2022
Improving Sample and Feature Selection with Principal Covariates Regression Rose K. Cersonsky B. Helfrecht Edgar A. Engel Michele Ceriotti 29 32 0 22 Dec 2020
Structure-Property Maps with Kernel Principal Covariates Regression B. Helfrecht Rose K. Cersonsky Guillaume Fraux Michele Ceriotti 10 37 0 12 Feb 2020
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 115 9,312 0 09 Feb 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 552 21,613 0 22 May 2017
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 194 7,252 0 20 Dec 2013