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Number of items: 15.

Kimmig, Angelika, Memory, Alexander, Miller, Renee J. and Getoor, Lise 2019. A collective, probabilistic approach to schema mapping using diverse noisy evidence. IEEE Transactions on Knowledge and Data Engineering 31 (8) , pp. 1426-1439. 10.1109/TKDE.2018.2865785
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Cerutti, Federico, Kaplan, Lance, Kimmig, Angelika and Sensoy, Murat 2018. Probabilistic logic programming with beta-distributed random variables. Presented at: AAAI-19: 33rd AAAI Conference on Artificial Intelligence, Honolulu, HI, USA, 27 January - 1 February 2019.
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Cerutti, Federico, Alzantot, Mustafa, Xing, Tianwei, Harborne, Daniel, Bakdash, Jonathan, Braines, Dave, Chakraborty, Supriyo, Kaplan, Lance, Kimmig, Angelika, Preece, Alun David, Raghavendra, Ramya, Sensoy, Murat and Srivastava, Mani 2018. Learning and reasoning in complex coalition information environments: a critical analysis. Presented at: Fusion 2018: 21st International Conference on Information Fusion, Cambridge, UK, 10-13 July 2018.
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Manhaeve, Robin, Dumancic, Sebastijan, Kimmig, Angelika, Demeester, Thomas and Raedt, Luc De 2018. DeepProbLog: Neural probabilistic logic programming. Presented at: Thirty-second Conference on Neural Information Processing Systems (NIPS 2018), Montreal, 2-8 December 2018.
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Kimmig, Angelika, Van den Broeck, Guy and De Raedt, Luc 2017. Algebraic model counting. Journal of Applied Logic 22 , pp. 46-62. 10.1016/j.jal.2016.11.031
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Latour, Anna, Babaki, Behrouz, Dries, Anton, Kimmig, Angelika, Broeck, Guy Van den and Nijssen, Siegfried 2017. Combining stochastic constraint optimization and probabilistic programming: From knowledge compilation to constraint solving. Presented at: International Conference on Principles and Practice of Constraint Programming (CP), Melbourne, Australia, 28 August - 1 September 2017.
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Dries, Anton, Kimmig, Angelika, Davis, Jesse, Belle, Vaishak and Raedt, Luc De 2017. Solving probability problems in natural language. Presented at: 26th International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, 19-25 August 2017.
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Vlasselaer, Jonas, Van den Broeck, Guy, Kimmig, Angelika, Meert, Wannes and De Raedt, Luc 2016. TP-Compilation for inference in probabilistic logic programs. International Journal of Approximate Reasoning 78 , pp. 15-32. 10.1016/j.ijar.2016.06.009
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Kazemi, Seyed Mehran, Kimmig, Angelika, Broeck, Guy Van den and Poole, David 2016. New liftable classes for first-order probabilistic inference. Presented at: Neural Information Processing Systems, Barcelona, Spain, 5-10 December 2016.
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De Raedt, Luc and Kimmig, Angelika 2015. Probabilistic (logic) programming concepts. Machine Learning 100 (1) , pp. 5-47. 10.1007/s10994-015-5494-z
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Kimmig, Angelika, Mihalkova, Lilyana and Getoor, Lise 2015. Lifted graphical models: a survey. Machine Learning 99 (1) , pp. 1-45. 10.1007/s10994-014-5443-2
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Cussens, James, de Raedt, Luc, Kimmig, Angelika and Sato, Taisuke 2015. Introduction to the special issue on probability, logic and learning. Theory and Practice of Logic Programming 15 (02) , pp. 145-146. 10.1017/S1471068413000665
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Galbrun, Esther and Kimmig, Angelika 2014. Finding relational redescriptions. Machine Learning 96 (3) , pp. 225-248. 10.1007/s10994-013-5402-3
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Moustafa, Walaa Eldin, Kimmig, Angelika, Deshpande, Amol and Getoor, Lise 2014. Subgraph pattern matching over uncertain graphs with identity linkage uncertainty. Presented at: IEEE International Conference on Data Engineering, Chicago, IL, USA, 31 March- 4 April 2014. 2014 IEEE 30th International Conference on Data Engineering. IEEE, 10.1109/ICDE.2014.6816710
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Renkens, Joris, Kimmig, Angelika, Broeck, Guy Van den and Raedt, Luc De 2014. Explanation-based approximate weighted model counting for probabilistic logics. Presented at: 28th AAAI Conference on Artificial Intelligence, Quebec, Canada, 27-31 July 2014. AAAIWS'14-13 Proceedings of the 13th AAAI Conference on Statistical Relational AI. AAAI Press,

This list was generated on Mon Sep 23 05:03:07 2019 BST.