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Padmini Srinivasan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Denis Gracanin, Padmini Srinivasan, Kimon P. Valavanis
    Fundamentals of Parameterized Petri Nets. [Citation Graph (0, 0)][DBLP]
    ICRA (1), 1993, pp:584-591 [Conf]
  2. Padmini Srinivasan, Bisharah Libbus
    Mining MEDLINE for implicit links between dietary substances and diseases. [Citation Graph (0, 0)][DBLP]
    ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:290-296 [Conf]
  3. David Eichmann, Miguel E. Ruiz, Padmini Srinivasan
    Cross-Language Information Retrieval with the UMLS Metathesaurus. [Citation Graph (0, 0)][DBLP]
    SIGIR, 1998, pp:72-80 [Conf]
  4. Filippo Menczer, Gautam Pant, Padmini Srinivasan, Miguel E. Ruiz
    Evaluating Topic-Driven Web Crawlers. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2001, pp:241-249 [Conf]
  5. Miguel E. Ruiz, Padmini Srinivasan
    Hierarchical Neural Networks for Text Categorization (poster abstract). [Citation Graph (0, 0)][DBLP]
    SIGIR, 1999, pp:281-282 [Conf]
  6. Aditya Kumar Sehgal, Padmini Srinivasan
    Manjal: a text mining system for MEDLINE. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2005, pp:680- [Conf]
  7. Elena Catona, David Eichmann, Padmini Srinivasan
    Filters and Answers: The University of Iowa TREC-9 Results. [Citation Graph (0, 0)][DBLP]
    TREC, 2000, pp:- [Conf]
  8. David Eichmann, Miguel E. Ruiz, Padmini Srinivasan
    Cluster-Based Adaptive and Batch Filtering. [Citation Graph (0, 0)][DBLP]
    TREC, 1998, pp:211-220 [Conf]
  9. David Eichmann, Padmini Srinivasan
    Novel Results and Some Answers - The University of Iowa TREC 11 Results. [Citation Graph (0, 0)][DBLP]
    TREC, 2002, pp:- [Conf]
  10. David Eichmann, Padmini Srinivasan
    Filters, Webs and Answers: The University of Iowa TREC-8 Results. [Citation Graph (0, 0)][DBLP]
    TREC, 1999, pp:- [Conf]
  11. David Eichmann, Padmini Srinivasan, Marc Light, Hudong Wang, Xin Ying Qiu, Robert J. Arens, Aditya Kumar Sehgal
    Experiments in Novelty, Genes and Questions at the University of Iowa. [Citation Graph (0, 0)][DBLP]
    TREC, 2003, pp:678-685 [Conf]
  12. Louiqa Raschid, Yao Wu, Woei-Jyh Lee, Maria-Esther Vidal, Panayiotis Tsaparas, Padmini Srinivasan, Aditya Kumar Sehgal
    Ranking target objects of navigational queries. [Citation Graph (0, 0)][DBLP]
    WIDM, 2006, pp:27-34 [Conf]
  13. Aditya Kumar Sehgal, Padmini Srinivasan
    Retrieval with gene queries. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:220- [Journal]
  14. Padmini Srinivasan
    The Importance of Rough Approximations for Information Retrieval. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1991, v:34, n:5, pp:657-671 [Journal]
  15. Padmini Srinivasan
    Intelligent information retrieval using rough set approximations. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 1989, v:25, n:4, pp:347-361 [Journal]
  16. Padmini Srinivasan
    A comparison of two-poisson, inverse document frequency and discrimination value models of document representation. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 1990, v:26, n:2, pp:269-278 [Journal]
  17. Padmini Srinivasan
    Query Expansion and MEDLINE. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 1996, v:32, n:4, pp:431-443 [Journal]
  18. Padmini Srinivasan
    Optimal Document-Indexing Vocabulary for MEDLINE. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 1996, v:32, n:5, pp:503-514 [Journal]
  19. Padmini Srinivasan, Miguel E. Ruiz, Donald H. Kraft, Jianhua Chen
    Vocabulary mining for information retrieval: rough sets and fuzzy sets. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 2001, v:37, n:1, pp:15-38 [Journal]
  20. David Eichmann, Padmini Srinivasan
    Adaptive Filtering of Newswire Stories using Two-Level Clustering. [Citation Graph (0, 0)][DBLP]
    Inf. Retr., 2002, v:5, n:2-3, pp:209-237 [Journal]
  21. Miguel E. Ruiz, Padmini Srinivasan
    Hierarchical Text Categorization Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    Inf. Retr., 2002, v:5, n:1, pp:87-118 [Journal]
  22. Padmini Srinivasan, Filippo Menczer, Gautam Pant
    A General Evaluation Framework for Topical Crawlers. [Citation Graph (0, 0)][DBLP]
    Inf. Retr., 2005, v:8, n:3, pp:417-447 [Journal]
  23. Mathew B. Koll, Padmini Srinivasan
    Fuzzy versus probabilistic models for user relevance judgments. [Citation Graph (0, 0)][DBLP]
    JASIS, 1990, v:41, n:4, pp:264-271 [Journal]
  24. Padmini Srinivasan
    Text mining: Generating hypotheses from MEDLINE. [Citation Graph (0, 0)][DBLP]
    JASIST, 2004, v:55, n:5, pp:396-413 [Journal]
  25. Padmini Srinivasan
    On generalizing the Two-Poisson Model. [Citation Graph (0, 0)][DBLP]
    JASIS, 1990, v:41, n:1, pp:61-66 [Journal]
  26. Wai Lam, Miguel E. Ruiz, Padmini Srinivasan
    Automatic Text Categorization and Its Application to Text Retrieval. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1999, v:11, n:6, pp:865-879 [Journal]
  27. Gautam Pant, Padmini Srinivasan
    Link Contexts in Classifier-Guided Topical Crawlers. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:1, pp:107-122 [Journal]
  28. Gautam Pant, Padmini Srinivasan
    Learning to crawl: Comparing classification schemes. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 2005, v:23, n:4, pp:430-462 [Journal]
  29. D. V. Rama, Padmini Srinivasan
    An Investigation of Content Representation Using Text Grammars. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 1993, v:11, n:1, pp:51-75 [Journal]
  30. Filippo Menczer, Gautam Pant, Padmini Srinivasan
    Topical web crawlers: Evaluating adaptive algorithms. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Internet Techn., 2004, v:4, n:4, pp:378-419 [Journal]
  31. Woei-Jyh Lee, Louiqa Raschid, Padmini Srinivasan, Nigam Shah, Daniel Rubin, Natasha Fridman Noy
    Using Annotations from Controlled Vocabularies to Find Meaningful Associations. [Citation Graph (0, 0)][DBLP]
    DILS, 2007, pp:247-263 [Conf]
  32. Aditya Kumar Sehgal, Padmini Srinivasan
    Profiling Topics on the Web. [Citation Graph (0, 0)][DBLP]
    I3, 2007, pp:- [Conf]

  33. A Latent Dirichlet Framework for Relevance Modeling. [Citation Graph (, )][DBLP]


  34. Topic models and a revisit of text-related applications. [Citation Graph (, )][DBLP]


  35. Exploiting Ontology Structure and Patterns of Annotation to Mine Significant Associations between Pairs of Controlled Vocabulary Terms. [Citation Graph (, )][DBLP]


  36. A quality-threshold data summarization algorithm. [Citation Graph (, )][DBLP]


  37. A relevance-based topic model for news event tracking. [Citation Graph (, )][DBLP]


  38. University of Iowa at TREC 2008 Legal and Relevance FeedbackTracks. [Citation Graph (, )][DBLP]


  39. Exploring the Legal Discovery and Enterprise Tracks at the University of Iowa. [Citation Graph (, )][DBLP]


  40. Experiments in Questions and Relationships at the University of Iowa. [Citation Graph (, )][DBLP]


  41. Novelty, Question Answering and Genomics: The University of Iowa Response. [Citation Graph (, )][DBLP]


  42. Detecting Wikipedia vandalism with active learning and statistical language models. [Citation Graph (, )][DBLP]


  43. GO for gene documents. [Citation Graph (, )][DBLP]


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