Evolutionary approaches to explainable machine learning

23 June 2023

Papers citing "Evolutionary approaches to explainable machine learning"

14 / 14 papers shown

Title
On genetic programming representations and fitness functions for interpretable dimensionality reduction Thomas Uriot M. Virgolin Tanja Alderliesten Peter A. N. Bosman 18 9 0 01 Mar 2022
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 88 442 0 11 Nov 2021
Applying Genetic Programming to Improve Interpretability in Machine Learning Models Leonardo Augusto Ferreira F. G. Guimarães Rodrigo C. P. Silva 28 37 0 18 May 2020
Multi-Objective Counterfactual Explanations Susanne Dandl Christoph Molnar Martin Binder B. Bischl 68 260 0 23 Apr 2020
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation Andrew Lensen Bing Xue Mengjie Zhang 36 43 0 27 Jan 2020
On Explaining Machine Learning Models by Evolving Crucial and Compact Features M. Virgolin Tanja Alderliesten Peter A. N. Bosman 60 28 0 04 Jul 2019
Local Rule-Based Explanations of Black Box Decision Systems Riccardo Guidotti A. Monreale Salvatore Ruggieri D. Pedreschi Franco Turini F. Giannotti 141 439 0 28 May 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 417 933 0 21 Apr 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 138 2,371 0 01 Nov 2017
Interpretable & Explorable Approximations of Black Box Models Himabindu Lakkaraju Ece Kamar R. Caruana J. Leskovec FAtt 79 254 0 04 Jul 2017
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,716 0 10 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images Aravindh Mahendran Andrea Vedaldi FAtt 95 536 0 07 Dec 2015
Determinantal point processes for machine learning Alex Kulesza B. Taskar 272 1,140 0 25 Jul 2012