{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T08:52:37Z","timestamp":1725699157998},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"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":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956676","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"2466-2474","source":"Crossref","is-referenced-by-count":3,"title":["Performance Prediction Under Dataset Shift"],"prefix":"10.1109","author":[{"given":"Simona","family":"Maggio","sequence":"first","affiliation":[{"name":"Dataiku"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victor","family":"Bouvier","sequence":"additional","affiliation":[{"name":"Dataiku"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leo","family":"Dreyfus-Schmidt","sequence":"additional","affiliation":[{"name":"Dataiku"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Fformpp: Feature-based forecast model performance prediction","year":"2021","author":"talagala","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01482"},{"article-title":"What does rotation prediction tell us about classifier accuracy under varying testing environments?","year":"2021","author":"deng","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00117"},{"article-title":"Measuring Robustness to Natural Distribution Shifts in Image Classification","year":"2020","author":"taori","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"journal-title":"Introduction to Probability and Random Processes","year":"2014","author":"pishro-nik","key":"ref16"},{"article-title":"Detecting and Correcting for Label Shift with Black Box Predictors","year":"2018","author":"lipton","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86523-8_22"},{"article-title":"Towards Robust and Reliable Algorithmic Recourse","year":"2021","author":"upadhyay","key":"ref19"},{"key":"ref4","article-title":"Leveraging Unlabeled Data to Predict Out-of-Distribution Performance","author":"garg","year":"2022","journal-title":"Proceedings of the International Conference on Learning Representations ICLR"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3328519.3329126"},{"article-title":"Underspecification Presents Challenges for Credibility in Modern Machine Learning","year":"0","author":"d\u2019amour","key":"ref6"},{"article-title":"Can You Trust Your Model&#x2019;s Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","year":"2019","author":"ovadia","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87536-9_54"},{"key":"ref7","first-page":"1467","article-title":"Confidence scoring using whitebox meta-models with linear classifier probes","author":"chen","year":"2008","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1222"},{"key":"ref1","article-title":"Learning Prediction Intervals for Model Performance","author":"elder","year":"2020","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0237009"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2022,8,21]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956676.pdf?arnumber=9956676","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:06:13Z","timestamp":1671480373000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956676\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956676","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}