EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence.
Ambreen Hanif|Amin Beheshti|Xuyun Zhang|Steven Wood|Boualem Benatallah|EuJin Foo
| Anthology ID: | DBLP:conf/wsdm/HanifBZWBF24 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1058-1061 |
| URL: | https://doi.org/10.1145/3616855.3635697 |
| DOI: | https://doi.org/10.1145/3616855.3635697 |
| DBLP: | conf/wsdm/HanifBZWBF24 |
| BibTeX: |
@inproceedings{hanif-2024-evidencequest,
author = {Ambreen Hanif and
Amin Beheshti and
Xuyun Zhang and
Steven Wood and
Boualem Benatallah and
EuJin Foo},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {1058--1061},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635697},
doi = {https://doi.org/10.1145/3616855.3635697}
}