| Lifted first-order probabilistic inference R de Salvo Braz, E Amir, D Roth Proceedings of the 19th international joint conference on Artificial …, 2005 | 425 | 2005 |
| Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007 | 185 | 2007 |
| An inference model for semantic entailment in natural language R de Salvo Braz, R Girju, V Punyakanok, D Roth, M Sammons Machine learning challenges workshop, 261-286, 2005 | 123 | 2005 |
| Reading comprehension programs in a statistical-language-processing class E Charniak, Y Altun, R de Salvo Braz, B Garrett, M Kosmala, T Moscovich, ... ANLP-NAACL 2000 Workshop: Reading Comprehension Tests as Evaluation for …, 2000 | 85 | 2000 |
| MPE and partial inversion in lifted probabilistic variable elimination R de Salvo Braz, E Amir, D Roth AAAI 6, 1123-1130, 2006 | 75 | 2006 |
| A survey of first-order probabilistic models RS Braz, E Amir, D Roth Innovations in bayesian networks: Theory and applications, 289-317, 2008 | 46 | 2008 |
| Probabilistic Inference Modulo Theories RD Rodrigo de Salvo Braz, Ciaran O'Reilly, Vibhav Gogate Workshop in Hybrid Reasoning at IJCAI 2015, 2015 | 43* | 2015 |
| Exact lifted inference with distinct soft evidence on every object H Bui, T Huynh, R de Salvo Braz Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1875-1881, 2012 | 40 | 2012 |
| Anytime lifted belief propagation R de Salvo Braz, S Natarajan, H Bui, J Shavlik, S Russell Proc. SRL 9, 2009 | 40 | 2009 |
| Knowledge representation for semantic entailment and question-answering R de Salvo Braz, R Girju, V Punyakanok, D Roth, M Sammons IJCAI-05 workshop on knowledge and reasoning for answering questions, 71-80, 2005 | 26 | 2005 |
| Efficient methods for lifted inference with aggregate factors J Choi, R de Salvo Braz, H Bui Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1030-1036, 2011 | 25 | 2011 |
| Gibbs sampling in open-universe stochastic languages NS Arora, RS Braz, EB Sudderth, S Russell arXiv preprint arXiv:1203.3464, 2012 | 15 | 2012 |
| Exact Inference for Relational Graphical Models with Interpreted Functions: Lifted Probabilistic Inference Modulo Theories. R de Salvo Braz, C O'Reilly UAI, 2017 | 7 | 2017 |
| Textual entailment recognition based on dependency analysis and WordNet R de Salvo Braz, R Girju, V Punyakanok, D Roth, M Sammons Proceedings of the First PASCAL Challenges Workshop on Recognizing Textual …, 2005 | 7 | 2005 |
| An inference model for semantic entailment and question-answering R de Salvo Braz, R Girju, V Punyakanok, D Roth, M Sammons Proceedings of the Twentieth National Conference on Artificial Intelligence …, 2005 | 5 | 2005 |
| Reading comprehension programs in a statistical-language-processing class. ANLP E Charniak, Y Altun, R Braz, B Garrett, M Kosmala, T Moscovich, L Pang, ... NAACL Workshop on Reading Comprehension Tests as Evaluation for Computer …, 2000 | 5 | 2000 |
| Cross training and its application to skill mining DA Oblinger, M Reid, M Brodie, R de Salvo Braz IBM Systems Journal 41 (3), 449-460, 2002 | 3 | 2002 |
| Anytime Exact Belief Propagation GA Ferreira, Q Bertrand, C Maussion, RS Braz arXiv preprint arXiv:1707.08704, 2017 | 1 | 2017 |
| Lifted Arbitrary Constraint Solving for Lifted Probabilistic Inference. R de Salvo Braz, S Saadati, H Bui, C O'Reilly StarAI@ UAI, 2012 | 1 | 2012 |
| Initial Empirical Evaluation of Anytime Lifted Belief Propagation. RG Freedman, R de Salvo Braz, H Bui, S Natarajan StarAI@ UAI, 2012 | 1 | 2012 |
Dan RothProfessor of Computer Science, University of Pennsylvaniaseas.upenn.edu üzerinde doğrulanmış e-posta adresine sahip
