What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems

27 November 2018

Papers citing "What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems"

6 / 6 papers shown

Title
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers Jathurshan Pradeepkumar Mithunjha Anandakumar Vinith Kugathasan Dhinesh Suntharalingham S. L. Kappel A. D. Silva Chamira U. S. Edussooriya 69 31 0 15 Aug 2022
Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction G. Luo 25 85 0 06 Dec 2018
Instance-Level Explanations for Fraud Detection: A Case Study Dennis Collaris L. M. Vink J. V. Wijk 60 31 0 19 Jun 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 124 3,957 0 06 Feb 2018
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 198 3,871 0 10 Apr 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016