@inproceedings{d48f8bd15d384437886c5a169d7cd199,
title = "Similarity-based uncertainty scores for interpretable deep learning in scientific applications",
keywords = "clustering, scientific applications, SCNN, T-SNE, uncertainty",
author = "Lilly Roelofs and Claire Weissman and Daniela Raicu and Jacob Furst and Roselyne Tchoua",
note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022 ; Conference date: 25-04-2022 Through 29-04-2022",
year = "2022",
month = apr,
day = "25",
doi = "10.1145/3477314.3507232",
language = "English",
series = "Proceedings of the ACM Symposium on Applied Computing",
publisher = "Association for Computing Machinery",
pages = "1152--1155",
booktitle = "Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022",
}