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Statistical Relational Artificial Intelligence: Logic, Probability, and Computation, , , and . Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool, San Rafael, CA, (2016)Kernelized Map Matching for noisy trajectories, and . Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet, Kassel, Germany, (2010)Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text, , , , , and . Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop, Bellevue, Washington, USA, July 15, 2013, volume WS-13-16 of AAAI Workshops, AAAI, (2013)Effectively creating weakly labeled training examples via approximate domain knowledge, , , , , and . Inductive Logic Programming, Springer, (2015)Statistical Relational Artificial Intelligence: Logic, Probability, and Computation, , , and . Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool Publishers, (2016)Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models, , , , , , and . Proceedings of ECML, (2010)Vision Relation Transformer for Unbiased Scene Graph Generation., , , and . ICCV, page 21825-21836. IEEE, (2023)Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis., , and . ICCV, page 4561-4573. IEEE, (2023)From Lifted Inference to Lifted Models., and . StarAI@UAI, (2012)Unsupervised Multi-sensor Anomaly Localization with Explainable AI., , , , and . AIAI (1), volume 646 of IFIP Advances in Information and Communication Technology, page 507-519. Springer, (2022)