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Predicting Semantic Labels of Text Regions in Heterogeneous Document Images., , , , and . KONVENS, (2019)Federated search in the wild: the combined power of over a hundred search engines., , , and . CIKM, page 1874-1878. ACM, (2012)Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records., , , and . HSDM@WSDM, volume 2551 of CEUR Workshop Proceedings, page 3-11. CEUR-WS.org, (2020)The First International Workshop on Open Web Search (WOWS)., , , , , , and . ECIR (5), volume 14612 of Lecture Notes in Computer Science, page 426-431. Springer, (2024)#WhoAmI in 160 Characters? Classifying Social Identities Based on Twitter Profile Descriptions., , , , , and . NLP+CSS@EMNLP, page 55-65. Association for Computational Linguistics, (2016)The Lowlands Team at TRECVID 2008., , , and . TRECVID, National Institute of Standards and Technology (NIST), (2008)Relevance Feedback for Best Match Term Weighting Algorithms in Information Retrieval., and . DELOS, volume 01/W03 of ERCIM Workshop Proceedings, ERCIM, (2001)Session details: Session 2A - Ranking (2).. ICTIR, ACM, (2021)UNFair: Search Engine Manipulation, Undetectable by Amortized Inequity., and . FAccT, page 830-839. ACM, (2023)The Recent Applications of Machine Learning in Rail Track Maintenance: A Survey., , , and . RSSRail, volume 11495 of Lecture Notes in Computer Science, page 91-105. Springer, (2019)