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Studying Topical Relevance with Evidence-based Crowdsourcing., , , , , , , и . CIKM, стр. 1253-1262. ACM, (2018)Framing is Mightier than the Sword: Detection of Episodic and Thematic Framing in News Media., , , , , , , , , и . Hum. Comput., 11 (1): 1-28 (2024)Machine-Crowd Annotation Workflow for Event Understanding Across Collections and Domains.. ESWC, том 9678 из Lecture Notes in Computer Science, стр. 813-823. Springer, (2016)Aligning Object Detector Bounding Boxes with Human Preference., , , , и . CoRR, (2024)Understanding the Role of Explanation Modality in AI-assisted Decision-making, , и . Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 223-233. ACM, (июля 2022)Humans Disagree With the IoU for Measuring Object Detector Localization Error., , , , и . ICIP, стр. 1261-1265. IEEE, (2022)Optimizing Explorative Search for the Needs of Media Professionals: The DIVE+ Use Case., , , и . SEMANTiCS (Workshops), том 2063 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)Event Extraction From Radio News Bulletins., , , и . SEMANTiCS (Workshops), том 2063 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)Crowdsourcing Inclusivity: Dealing with Diversity of Opinions, Perspectives and Ambiguity in Annotated Data., , , , , и . WWW (Companion Volume), стр. 1294-1295. ACM, (2019)QUARE: 1st Workshop on Measuring the Quality of Explanations in Recommender Systems., , , , и . SIGIR, стр. 3478-3481. ACM, (2022)