{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T22:46:02Z","timestamp":1752101162080,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/fuzz-ieee55066.2022.9882726","type":"proceedings-article","created":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T15:39:59Z","timestamp":1663169999000},"page":"1-9","source":"Crossref","is-referenced-by-count":5,"title":["Can Post-hoc Explanations Effectively Detect Out-of-Distribution Samples?"],"prefix":"10.1109","author":[{"given":"Aitor","family":"Martinez-Seras","sequence":"first","affiliation":[{"name":"Basque Research and Technology Alliance (BRTA),TECNALIA,Derio,Bizkaia,Spain,48160"}]},{"given":"Javier Del","family":"Ser","sequence":"additional","affiliation":[{"name":"Basque Research and Technology Alliance (BRTA),TECNALIA,Derio,Bizkaia,Spain,48160"}]},{"given":"Pablo","family":"Garcia-Bringas","sequence":"additional","affiliation":[{"name":"University of Deusto,Bilbao,Bizkaia,Spain,48007"}]}],"member":"263","reference":[{"key":"ref10","first-page":"21464","article-title":"Energy-based out-of-distribution detection","volume":"33","author":"liu","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref11","article-title":"Deep anomaly detection with outlier exposure","author":"hendrycks","year":"2019","journal-title":"Proceedings of the International Conference on Learning Representations"},{"key":"ref12","article-title":"Feature space singularity for out-of-distribution detection","author":"huang","year":"2021","journal-title":"Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA52953.2021.00050"},{"key":"ref14","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"simonyan","year":"2014","journal-title":"Workshop at ICLR Citeseer"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00097"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298640"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3010274"},{"key":"ref6","article-title":"Enhancing the reliability of out-of-distribution image detection in neural networks","author":"liang","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR 2018"},{"article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","year":"2016","author":"hendrycks","key":"ref5"},{"key":"ref8","article-title":"A simple unified framework for detecting out-of-distribution samples and adversarial attacks","volume":"31","author":"lee","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_34"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"ref9","article-title":"Why is the mahalanobis distance effective for anomaly detection?","author":"kamoi","year":"2020","journal-title":"arXiv 2003 00402"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref22","first-page":"404","article-title":"Surf: Speeded up robust features","author":"bay","year":"2006","journal-title":"ECCV"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2109730"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2009.2025923"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126544"}],"event":{"name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9882530\/9882539\/09882726.pdf?arnumber=9882726","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T16:34:36Z","timestamp":1664814876000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9882726\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/fuzz-ieee55066.2022.9882726","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}