Improving the Quality of Explanations with Local Embedding Perturbations-Reference-Cited by-同舟云学术

Improving the Quality of Explanations with Local Embedding Perturbations

Published:2019-07-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
language:
Short-container-title:

Author:

Jia Yunzhe¹,Bailey James¹,Ramamohanarao Kotagiri¹,Leckie Christopher¹,Houle Michael E.²

Affiliation:

1. University of Melbourne, Melbourne, Australia

2. National Institute of Informatics, Tokyo, Japan

Funder

JSPS Kakenhi Kiban (B)

Publisher

ACM

Link

Reference28 articles.

4. Eclectic rule-extraction from support vector machines;Barakat Nahla;Int. Journal of Comp. Intelligence,2005

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

3. ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces;2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA);2023-10-09