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Collective Activity Detection Using Hinge-loss Markov Random Fields.

, , , , , and . CVPR Workshops, page 566-571. IEEE Computer Society, (2013)

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Entity Resolution in Graph Data, and . CS-TR-4758. Computer Science Department, University of Maryland, (October 2005)Latent Dirichlet Allocation Model for Entity Resolution, and . CS-TR-4740. Computer Science Department, University of Maryland, (August 2005)Uncovering hidden engagement patterns for predicting learner performance in MOOCs., , , , and . L@S, page 157-158. ACM, (2014)Identifying graphs from noisy and incomplete data., and . KDD Workshop on Knowledge Discovery from Uncertain Data, page 23-29. ACM, (2009)GRDB: a system for declarative and interactive analysis of noisy information networks., , , and . SIGMOD Conference, page 1085-1088. ACM, (2013)BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic., , and . AAAI, page 10267-10275. AAAI Press, (2020)Lifted Hinge-Loss Markov Random Fields., , , and . AAAI, page 7975-7983. AAAI Press, (2019)Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification., , , and . EMNLP, page 170-179. ACL, (2009)Understanding MOOC Discussion Forums using Seeded LDA., , , , and . BEA@ACL, page 28-33. The Association for Computer Linguistics, (2014)Responsible Data Science.. IEEE BigData, page 1. IEEE, (2019)