Khaled S. Refaat

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Publications

Khaled S. Refaat, "Decomposition Techniques for Learning Graphical Models".  PhD Thesis, UCLA, 2015. [pdf]

Khaled S. Refaat, Adnan Darwiche, "An Upper Bound on the Global Optimum in Parameter Estimation". 
Conference on Uncertainty in Artificial Intelligence (UAI 2015). [pdf] Plenary Presentation.

Khaled S. Refaat, Adnan Darwiche, "Data Compression for Learning MRF Parameters". 
International Joint Conference on Artificial Intelligence (IJCAI 2015). [pdf]

Khaled S. Refaat, Arthur Choi, Adnan Darwiche, "Decomposing Parameter Estimation Problems". 
Advances in Neural Information Processing Systems (NIPS 2014). [pdf]

Khaled S. Refaat, Arthur Choi, Adnan Darwiche, "EDML for Learning Parameters in Directed and Undirected Graphical Models". 
Advances in Neural Information Processing Systems (NIPS 2013). [pdf] appendix (A preliminary version appeared in the ICML 2013 Workshop on Interactions between Inference and Learning, Atlanta, GA, USA)

Khaled S. Refaat, Sugato Basu, Deirdre O'brien, Liadan O'Callaghan, "Large-Scale Query Understanding".  In NIPS 2012 Workshop on Big Learning : Algorithms, Systems, and Tools, Lake Tahoe, Nevada, USA, 2012. [pdf]

Khaled S. Refaat, Arthur Choi, Adnan Darwiche, "New Advances and Theoretical Insights into EDML".  Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence (UAI 2012), Catalina Island, USA, 2012. [pdf] Oral Presentation. Oral acceptance rate: 7.8%

Arthur Choi, Khaled S. Refaat, Adnan Darwiche, "EDML: A Method for Learning Parameters in Bayesian Networks".  Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, 2011. [pdf]

Khaled S. Refaat, Pierre Emmanuel Hladik, "Efficient Stochastic Analysis of Real-Time Systems via Random Sampling".  Proceedings of the 22nd Euromicro Conference on Real-Time Systems (ECRTS 2010), Brussels, 2010, pp. 175-183. [pdf]

Khaled S. Refaat, "The Support Vector Machined Kernel: Towards a New Classification Framework". Master's Thesis, Cairo University, 2010. [pdf]

Khaled S. Refaat, Amir F. Atiya, "Hand-Drawn Shape Recognition using the SVM'ed Kernel". Proceedings of the 19th International Conference on Artificial Neural Networks (ICANN 2009), Cyprus, 2009, LNCS Volume 5769/2009, pp. 275-284. [pdf]

Khaled S. Refaat, "The Support Vector Machined Kernel". Proceedings of the IEEE region 8 Eurocon, Saint Petersburg, Russia,  2009, pp. 1978-1984. [pdf] Top 5 IEEE Region 8 (Africa, Europe, Middle East) student paper contest finals.

Khaled S. Refaat, A. Madkour, "An Optimized Method for Arabic Cross-Document Named Entity Normalization". Proceedings of the 2nd International Conference in Arabic Language Resources and Tools, Cairo, Egypt, 2009, pp. 219-221. [pdf]

Amgad Madkour, Tarek Hefni, Ahmed Hefny, Khaled S. Refaat, "Using Semantic Features to Detect Spamming in Social BookMarking Systems". Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge in Databases (ECML PKDD) Discovery Challenge, RSDC08, Antwerp, Belgium, 2008. [pdf]

Khaled S. Refaat, W. Helmy, A. Ali, M. Abdelghany, A. Atiya, "A new Approach for Context-Independent Hand-Written Offline Diagram Recognition using Support Vector Machines". Proceedings of the International Joint Conference on Neural Networks (IJCNN 2008), Hong Kong, 2008, pp. 177-182. [pdf]

M. Sammany, Khaled S. Refaat, "Support Vector Machine vs An Optimized Neural Network for Diagnosing Plant Diseases". Proceedings of the International Computer Engineering Conference (ICENCO 2006), Giza, Egypt, 2006, pp. 25-31. [pdf]

 

 

 

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