{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T16:13:35Z","timestamp":1773764015991,"version":"3.50.1"},"reference-count":4,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T00:00:00Z","timestamp":1773705600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Artif. Intell."],"DOI":"10.3389\/frai.2026.1811728","type":"journal-article","created":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T14:18:32Z","timestamp":1773757112000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Editorial: Robust machine learning"],"prefix":"10.3389","volume":"9","author":[{"given":"Yuexuan","family":"An","sequence":"first","affiliation":[{"name":"College of Computer Science and Software Engineering, Hohai University","place":["Nanjing, China"]},{"name":"Key Laboratory of New Generation Artificial Intelligence Technology & Its Interdisciplinary Applications (Southeast University), Ministry of Education","place":["Nanjing, China"]}]},{"given":"Xingyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics","place":["Nanjing, China"]}]},{"given":"Mingjing","family":"Du","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Jiangsu Normal University","place":["Xuzhou, China"]}]}],"member":"1965","published-online":{"date-parts":[[2026,3,17]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"9757","DOI":"10.1109\/TPAMI.2023.3244023","article-title":"From instance to metric calibration: a unified framework for open-world few-shot learning","volume":"45","author":"An","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell"},{"key":"B2","doi-asserted-by":"publisher","first-page":"6816","DOI":"10.1109\/TNNLS.2024.3388094","article-title":"Leveraging bilateral correlations for multi-label few-shot learning","volume":"36","author":"An","year":"2025","journal-title":"IEEE Trans. Neural. Netw. Learn. Syst"},{"key":"B3","doi-asserted-by":"publisher","first-page":"402","DOI":"10.7326\/ANNALS-24-01871","article-title":"The target trial framework for causal inference from observational data: why and when is it helpful?","volume":"178","author":"Hern\u00e1n","year":"2025","journal-title":"Ann. Intern. Med."},{"key":"B4","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1038\/s42256-024-00852-4","article-title":"Challenges, evaluation and opportunities for open-world learning","volume":"6","author":"Kejriwal","year":"2024","journal-title":"Nat. Mach. Intell"}],"container-title":["Frontiers in Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/frai.2026.1811728\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T14:18:33Z","timestamp":1773757113000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/frai.2026.1811728\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,17]]},"references-count":4,"alternative-id":["10.3389\/frai.2026.1811728"],"URL":"https:\/\/doi.org\/10.3389\/frai.2026.1811728","relation":{},"ISSN":["2624-8212"],"issn-type":[{"value":"2624-8212","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,17]]},"article-number":"1811728"}}