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Adnan Darwiche

Affiliations: 
Computer Science University of California, Los Angeles, Los Angeles, CA 
Area:
probabilistic and logical reasoning and its applications, including diagnosis, planning, and system design and analysis
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"Adnan Darwiche"
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Hei Chan grad student 2005 UCLA
Jinbo Huang grad student 2005 UCLA
Marcos Chavira grad student 2007 UCLA
Arthur Y. Choi grad student 2010 UCLA
Thammanit Pipatsrisawat grad student 2010 UCLA

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Publications

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Fernandes GJ, Choi A, Schauer JM, et al. (2023) An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study. Journal of Medical Internet Research. 25: e42047
Shen Y, Goyanka A, Darwiche A, et al. (2019) Structured Bayesian Networks: From Inference to Learning with Routes Proceedings of the Aaai Conference On Artificial Intelligence. 33: 7957-7965
Choi A, Wang R, Darwiche A. (2019) On the relative expressiveness of Bayesian and neural networks International Journal of Approximate Reasoning. 113: 303-323
Oztok U, Darwiche A. (2018) An Exhaustive DPLL Algorithm for Model Counting Journal of Artificial Intelligence Research. 62: 1-32
Chen EY, Darwiche A, Choi A. (2018) On pruning with the MDL Score International Journal of Approximate Reasoning. 92: 363-375
Yao T, Choi A, Darwiche A. (2015) Learning Bayesian network parameters under equivalence constraints Artificial Intelligence
Van Den Broeck G, Mohan K, Choi A, et al. (2015) Efficient algorithms for Bayesian network parameter learning from incomplete data Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, Uai 2015. 161-170
Chen S, Choi A, Darwiche A. (2014) Algorithms and applications for the same-decision probability Journal of Artificial Intelligence Research. 49: 601-633
Schumann J, Mbaya T, Mengshoel O, et al. (2013) Software health management with Bayesian networks Innovations in Systems and Software Engineering. 9: 271-292
Refaat KS, Choi A, Darwiche A. (2013) EDML for learning parameters in directed and undirected graphical models Advances in Neural Information Processing Systems
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