Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization

3 June 2019

Papers citing "Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization"

7 / 7 papers shown

Title
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 277 2,683 0 12 Sep 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 110 3,938 0 06 Feb 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 807 21,760 0 22 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 167 9,533 0 31 Mar 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 252 4,653 0 17 Feb 2017
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline Zhiguang Wang Weizhong Yan Tim Oates AI4TS 60 1,650 0 20 Nov 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 859 16,891 0 16 Feb 2016