Title
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors Adriano Lucieri Muhammad Naseer Bajwa S. Braun M. I. Malik Andreas Dengel Sheraz Ahmed MedIm 192 65 0 05 May 2020
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis S. Candemir X. V. Nguyen Luciano M Prevedello M. Bigelow Richard D. White B. S. Erdal 38 11 0 24 Feb 2020
When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt Maximilian Granz Tim Landgraf BDL FAtt XAI 43 132 0 20 Dec 2019
Visualization approach to assess the robustness of neural networks for medical image classification Elina Thibeau-Sutre O. Colliot Didier Dormont Ninon Burgos 43 15 0 19 Nov 2019
Towards Best Practice in Explaining Neural Network Decisions with LRP M. Kohlbrenner Alexander Bauer Shinichi Nakajima Alexander Binder Wojciech Samek Sebastian Lapuschkin 74 149 0 22 Oct 2019
Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification Fabian Eitel K. Ritter OOD FAtt 33 74 0 19 Sep 2019
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation Junhao Wen Elina Thibeau-Sutre Mauricio Diaz-Melo J. Samper-González A. Routier Simona Bottani Didier Dormont S. Durrleman Ninon Burgos O. Colliot 57 515 0 16 Apr 2019
Software and application patterns for explanation methods Maximilian Alber 65 11 0 09 Apr 2019
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 123 1,963 0 08 Oct 2018
iNNvestigate neural networks! Maximilian Alber Sebastian Lapuschkin P. Seegerer Miriam Hagele Kristof T. Schütt G. Montavon Wojciech Samek K. Müller Sven Dähne Pieter-Jan Kindermans 53 348 0 13 Aug 2018
On the Automatic Generation of Medical Imaging Reports Baoyu Jing P. Xie Eric Xing MedIm 59 509 0 22 Nov 2017
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives Derek Doran Sarah Schulz Tarek R. Besold XAI 66 438 0 02 Oct 2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network Zizhao Zhang Yuanpu Xie Fuyong Xing M. McGough Ling Yang MedIm 51 301 0 08 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 276 2,257 0 24 Jun 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 256 19,929 0 07 Oct 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 160 3,685 0 10 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 969 16,931 0 16 Feb 2016
Evaluating the visualization of what a Deep Neural Network has learned Wojciech Samek Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller XAI 132 1,191 0 21 Sep 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 226 4,665 0 21 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 497 15,861 0 12 Nov 2013