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LIBRE: Learning Interpretable Boolean Rule Ensembles., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 245-255. PMLR, (2020)Detecting COVID-19-Related Conspiracy Theories in Tweets., , , , and . MediaEval, volume 3181 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Probabilistic Reconciliation of Records from Inaccurate Web Sources (Extended Abstract)., , , and . SEBD, page 390-397. Esculapio Editore, (2010)BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems., , , , , and . SIGMOD Conference, page 2161-2164. ACM, (2016)Towards User-Aware Rule Discovery., and . ISIP, volume 760 of Communications in Computer and Information Science, page 3-17. Springer, (2016)Computational Fact Checking is Real, but will it Stop Misinformation? (Extended Abstract).. MISINFO@WWW, volume 2890 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data., , , , and . SIGMOD Conference, page 2409-2412. ACM, (2022)Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks., , and . SIGMOD Conference, page 1335-1349. ACM, (2020)Towards a Benchmark for Fact Checking with Knowledge Bases., and . WWW (Companion Volume), page 1595-1598. ACM, (2018)Tactics, Threats & Targets: Modeling Disinformation and its Mitigation., , , , , , and . NDSS, The Internet Society, (2023)