AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution.
Robin Cugny|Julien Aligon|Max Chevalier|Geoffrey Roman-Jimenez|Olivier Teste
| Anthology ID: | DBLP:conf/cikm/CugnyACRT22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 315-324 |
| URL: | https://doi.org/10.1145/3511808.3557247 |
| DOI: | https://doi.org/10.1145/3511808.3557247 |
| DBLP: | conf/cikm/CugnyACRT22 |
| BibTeX: |
@inproceedings{cugny-2022-autoxai,
author = {Robin Cugny and
Julien Aligon and
Max Chevalier and
Geoffrey Roman-Jimenez and
Olivier Teste},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {315--324},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557247},
doi = {https://doi.org/10.1145/3511808.3557247}
}