Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance

15 October 2020

Papers citing "Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance"

3 / 3 papers shown

Title
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 131 3,967 0 06 Feb 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 293 2,267 0 24 Jun 2017
Generative Models for Functional Data using Phase and Amplitude Separation J. D. Tucker Wei Wu Anuj Srivastava 68 191 0 08 Dec 2012