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Combining human intelligence and machine learning for fact-checking: Towards a hybrid human-in-the-loop framework.

, , and . Intelligenza Artificiale, 17 (2): 163-172 (2023)

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Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned., , , , and . IIR, volume 3448 of CEUR Workshop Proceedings, page 85-90. CEUR-WS.org, (2023)Detection of HER2 from Haematoxylin-Eosin Slides Through a Cascade of Deep Learning Classifiers via Multi-Instance Learning., , , , and . J. Imaging, 6 (9): 82 (2020)BUM at CheckThat!-2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval., , , , , and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 564-572. CEUR-WS.org, (2022)Combining Human and Machine Confidence in Truthfulness Assessment., , , , , and . ACM J. Data Inf. Qual., 15 (1): 5:1-5:17 (March 2023)A Hybrid Human-In-The-Loop Framework for Fact Checking., , and . NL4AI@AI*IA, volume 3287 of CEUR Workshop Proceedings, page 13-23. CEUR-WS.org, (2022)HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging., , , , , , , , , and 8 other author(s). J. Imaging, 8 (8): 213 (2022)Combining human intelligence and machine learning for fact-checking: Towards a hybrid human-in-the-loop framework., , and . Intelligenza Artificiale, 17 (2): 163-172 (2023)The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale., , , , , , and . CoRR, (2021)A Software Simulator for Optimizing Ambulance Location and Response Time: A Preliminary Report., , , , and . ICDH, page 209-211. IEEE, (2021)The Effects of Crowd Worker Biases in Fact-Checking Tasks., , , , , , and . FAccT, page 2114-2124. ACM, (2022)