Sindhu V. Raghavan

Most-cited papers

1. Rapid and Accurate Large-Scale Coestimation of Sequence Alignments and Phylogenetic Trees

   Kevin J. Liu, Sindhu V. Raghavan, Serita M. Nelesen, C. Linder +1 more

   2009Science504 citations

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2. Using Probabilistic Context-Free Grammars

   Sindhu V. Raghavan, Adriana Kovashka, R. Mooney

   201093 citations

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3. Review quality aware collaborative filtering

   Sindhu V. Raghavan, Suriya Gunasekar, Joydeep Ghosh

   2012ACM Conference on Recommender Systems57 citations

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4. Barking Up The Wrong Treelength: The Impact of Gap Penalty on Alignment and Tree Accuracy

   Kevin J. Liu, Serita M. Nelesen, Sindhu V. Raghavan, C. Linder +1 more

   2009IEEE/ACM Transactions on Computational Biology & Bioinformatics41 citations

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5. Modality Specific Meta Features for Authorship Attribution in Web Forum Posts

   Thamar Solorio, Sangita Pillay, Sindhu V. Raghavan, M. M. Y. Gómez

   2011International Joint Conference on Natural Language Processing38 citations

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6. Bayesian Abductive Logic Programs

   Sindhu V. Raghavan, R. Mooney

   2010StarAI@AAAI37 citations

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7. Plan, Activity, and Intent Recognition: Theory and Practice

   Sindhu V. Raghavan, Parag Singla, R. Mooney

   201426 citations

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8. Learning to “Read Between the Lines” using Bayesian Logic Programs

   Sindhu V. Raghavan, R. Mooney, Hyeonseo Ku

   2012Annual Meeting of the Association for Computational Linguistics23 citations

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9. Genome Majority Vote Improves Gene Predictions

   M. E. Wall, Sindhu V. Raghavan, Judith D. Cohn, J. Dunbar

   2011PLoS Comput. Biol.18 citations Open access

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10. Abductive Plan Recognition by Extending Bayesian Logic Programs

    Sindhu V. Raghavan, R. Mooney

    2011ECML/PKDD16 citations Open access

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11. Online Inference-Rule Learning from Natural-Language Extractions

    Sindhu V. Raghavan, R. Mooney

    2013StarAI@AAAI12 citations

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12. Bayesian Abductive Logic Programs: A Probabilistic Logic for Abductive Reasoning

    Sindhu V. Raghavan

    2011International Joint Conference on Artificial Intelligence9 citations

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13. Chapter 3 – Plan Recognition Using Statistical–Relational Models

    Sindhu V. Raghavan, Parag Singla, R. Mooney

    20145 citations

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14. Extending Bayesian Logic Programs for Plan Recognition and Machine Reading

    Sindhu V. Raghavan

    20121 citations

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15. Learned − Weights BLP − Manual − Weights MLN − Learned − Weights MLN − Manual − Weights

    Sindhu V. Raghavan, R. Mooney, Hyeonseo Ku

    20120 citations

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16. Improving the accuracy and scalability of discriminative learning methods for Markov logic networks

    Tuyen N. Huynh, Pedro M. Domingos, Joydeep Ghosh, K. Grauman +11 more

    20110 citations

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