{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T00:02:36Z","timestamp":1755993756199,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,25]],"date-time":"2023-11-25T00:00:00Z","timestamp":1700870400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Distr@l Hessen","award":["22_0041_2B"],"award-info":[{"award-number":["22_0041_2B"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,25]]},"DOI":"10.1145\/3638209.3638210","type":"proceedings-article","created":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T16:47:00Z","timestamp":1709138820000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Leveraging Repeated Unlabelled Noisy Measurements to Augment Supervised Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2429-9994","authenticated-orcid":false,"given":"Birk Martin","family":"Magnussen","sequence":"first","affiliation":[{"name":"biozoom services GmbH, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7187-8991","authenticated-orcid":false,"given":"Claudius","family":"Stern","sequence":"additional","affiliation":[{"name":"FOM Hochschule fur Oekonomie &amp; Management, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9467-656X","authenticated-orcid":false,"given":"Bernhard","family":"Sick","sequence":"additional","affiliation":[{"name":"Intelligent Embedded Systems, Universitat Kassel, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,2,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1088\/1612-2011\/13\/9\/095601"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-27659-9"},{"key":"e_1_3_2_1_5_1","unstructured":"Andrew Goldberg Xiaojin Zhu Aarti Singh Zhiting Xu and Robert Nowak. 2009. Multi-Manifold Semi-Supervised Learning. In Proceedings of the Twelth International Conference on Artificial Intelligence and Statistics(Proceedings of Machine Learning Research Vol.\u00a05) David van Dyk and Max Welling (Eds.). PMLR Hilton Clearwater Beach Resort Clearwater Beach Florida USA 169\u2013176. https:\/\/proceedings.mlr.press\/v5\/goldberg09a.html"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1412.6980"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","unstructured":"Jaakko Lehtinen Jacob Munkberg Jon Hasselgren Samuli Laine Tero Karras Miika Aittala and Timo Aila. 2018. Noise2Noise: Learning image restoration without clean data. (2018). https:\/\/doi.org\/10.48550\/arXiv.1803.04189","DOI":"10.48550\/arXiv.1803.04189"},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of The Nineteenth International Conference on Autonomic and Autonomous Systems. IARIA, ThinkMind, 49\u201353","author":"Magnussen Birk\u00a0Martin","year":"2023","unstructured":"Birk\u00a0Martin Magnussen, Claudius Stern, and Bernhard Sick. 2023. Utilizing Continuous Kernels for Processing Irregularly and Inconsistently Sampled Data With Position-Dependent Features. In Proceedings of The Nineteenth International Conference on Autonomic and Autonomous Systems. IARIA, ThinkMind, 49\u201353. http:\/\/www.thinkmind.org\/index.php?view=article&articleid=icas_2023_1_90_20043"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_1_11_1","unstructured":"Marco Taboga. 2021. Lectures on probability theory and mathematical statistics. Chapter Unadjusted sample variance. https:\/\/www.statlect.com\/glossary\/unadjusted-sample-variance"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_45"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.696"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298885"}],"event":{"name":"CIIS 2023: 2023 the 6th International Conference on Computational Intelligence and Intelligent Systems","acronym":"CIIS 2023","location":"Tokyo Japan"},"container-title":["Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638209.3638210","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3638209.3638210","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:57:19Z","timestamp":1755914239000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638209.3638210"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,25]]},"references-count":15,"alternative-id":["10.1145\/3638209.3638210","10.1145\/3638209"],"URL":"https:\/\/doi.org\/10.1145\/3638209.3638210","relation":{},"subject":[],"published":{"date-parts":[[2023,11,25]]},"assertion":[{"value":"2024-02-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}