TSXplain: Demystification of DNN Decisions for Time-Series using Natural
Language and Statistical Features

TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features

15 May 2019

Shoaib Ahmed Siddiqui

Ferdinand Küsters

Dominique Mercier

ArXiv (abs)PDF HTML

Papers citing "TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features"

13 / 13 papers shown

Title
Deep Sparse Coding for Non-Intrusive Load Monitoring Shikha Singh A. Majumdar 58 126 0 11 Dec 2019
Interpretable Convolutional Neural Networks via Feedforward Design C.-C. Jay Kuo Min Zhang Siyang Li Jiali Duan Yueru Chen 64 157 0 05 Oct 2018
Textual Explanations for Self-Driving Vehicles Jinkyu Kim Anna Rohrbach Trevor Darrell John F. Canny Zeynep Akata 60 346 0 30 Jul 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 130 948 0 20 Jun 2018
Training Classifiers with Natural Language Explanations Braden Hancock P. Varma Stephanie Wang Martin Bringmann Percy Liang Christopher Ré FAtt 87 155 0 10 May 2018
TSViz: Demystification of Deep Learning Models for Time-Series Analysis Shoaib Ahmed Siddiqui Dominique Mercier Mohsin Munir Andreas Dengel Sheraz Ahmed FAtt AI4TS 88 84 0 08 Feb 2018
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 158 1,526 1 19 Apr 2017
Generating Visual Explanations Lisa Anne Hendricks Zeynep Akata Marcus Rohrbach Jeff Donahue Bernt Schiele Trevor Darrell VLM FAtt 97 621 0 28 Mar 2016
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 126 1,875 0 22 Jun 2015
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 131 1,967 0 26 Nov 2014
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 179 1,328 0 29 Jul 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 317 7,321 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 603 15,907 0 12 Nov 2013

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