A Performance-Explainability Framework to Benchmark Machine Learning
Methods: Application to Multivariate Time Series Classifiers

A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers

29 May 2020

Véronique Masson

Papers citing "A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers"

18 / 18 papers shown

Title
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification Kevin Fauvel Elisa Fromont Véronique Masson P. Faverdin Alexandre Termier AI4TS 50 44 0 07 May 2020
Towards a Characterization of Explainable Systems Dimitri Bohlender Maximilian A. Köhl 31 12 0 31 Jan 2019
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Xia Hu FaML 75 1,088 0 31 Jul 2018
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems Richard J. Tomsett Dave Braines Daniel Harborne Alun D. Preece Supriyo Chakraborty FaML 105 166 0 20 Jun 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 103 3,938 0 06 Feb 2018
Multivariate LSTM-FCNs for Time Series Classification Fazle Karim Somshubra Majumdar H. Darabi Samuel Harford AI4TS 49 829 0 14 Jan 2018
Multivariate Time Series Classification with WEASEL+MUSE Patrick Schäfer Ulf Leser AI4TS 43 141 0 30 Nov 2017
Interpretable & Explorable Approximations of Black Box Models Himabindu Lakkaraju Ece Kamar R. Caruana J. Leskovec FAtt 57 254 0 04 Jul 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 232 4,248 0 22 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 800 21,760 0 22 May 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 364 3,775 0 28 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
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 242 19,929 0 07 Oct 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 152 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 852 16,891 0 16 Feb 2016
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition Skyler Seto Wenyu Zhang Yichen Zhou 35 148 0 21 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.7K 193,390 0 10 Dec 2015
Ultra-Fast Shapelets for Time Series Classification Martin Wistuba Josif Grabocka Lars Schmidt-Thieme AI4TS 42 78 0 17 Mar 2015

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