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Collective Relational Data Integration with Diverse and Noisy Evidence.

. University of Maryland, College Park, MD, USA, (2019)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/25568).

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Detecting and Annotating Narratives in Social Media: A Vision Paper., , , and . ICWSM Workshops, (2020)Detecting Unknown Insider Threat Scenarios., , , and . IEEE Symposium on Security and Privacy Workshops, page 277-288. IEEE Computer Society, (2014)Collective Relational Data Integration with Diverse and Noisy Evidence.. University of Maryland, College Park, MD, USA, (2019)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/25568).Causal Discovery of Cyber Attack Phases., , and . ICMLA, page 1348-1352. IEEE, (2019)Explaining and Aggregating Anomalies to Detect Insider Threats., , , and . HICSS, page 2739-2748. IEEE Computer Society, (2016)SPLAIN: Augmenting Cybersecurity Warnings with Reasons and Data., , , , , , and . CoRR, (2023)A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence., , , and . IEEE Trans. Knowl. Data Eng., 31 (8): 1426-1439 (2019)Use of Domain Knowledge to Detect Insider Threats in Computer Activities., , , , and . IEEE Symposium on Security and Privacy Workshops, page 60-67. IEEE Computer Society, (2013)