The SCEAS System
Navigation Menu

Search the dblp DataBase


Hagit Shatkay: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hagit Shatkay, Stanley B. Zdonik
    Approximate Queries and Representations for Large Data Sequences. [Citation Graph (3, 20)][DBLP]
    ICDE, 1996, pp:536-545 [Conf]
  2. Hagit Shatkay, W. John Wilbur
    Finding Themes in Medline Documents: Probabilistic Similarity Search. [Citation Graph (0, 0)][DBLP]
    ADL, 2000, pp:183-192 [Conf]
  3. Nawei Chen, Hagit Shatkay, Dorothea Blostein
    Exploring a new space of features for document classification: figure clustering. [Citation Graph (0, 0)][DBLP]
    CASCON, 2006, pp:369-372 [Conf]
  4. Nawei Chen, Hagit Shatkay, Dorothea Blostein
    Use of Figures in Literature Mining for Biomedical Digital Libraries. [Citation Graph (0, 0)][DBLP]
    DIAL, 2006, pp:180-197 [Conf]
  5. Hagit Shatkay, Leslie Pack Kaelbling
    Heading in the Right Direction. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:531-539 [Conf]
  6. Hagit Shatkay, Leslie Pack Kaelbling
    Learning Topological Maps with Weak Local Odometric Information. [Citation Graph (0, 0)][DBLP]
    IJCAI (2), 1997, pp:920-929 [Conf]
  7. Phil Hyoun Lee, Hagit Shatkay
    BNTagger: improved tagging SNP selection using Bayesian networks. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:211-219 [Conf]
  8. Hagit Shatkay, Nawei Chen, Dorothea Blostein
    Integrating image data into biomedical text categorization. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:446-453 [Conf]
  9. Hagit Shatkay, Stephen Edwards, W. John Wilbur, Mark Boguski
    Genes, Themes, and Microarrays: Using Information Retrieval for Large-Scale Gene Analysis. [Citation Graph (0, 0)][DBLP]
    ISMB, 2000, pp:317-328 [Conf]
  10. Annette Höglund, Torsten Blum, Scott Brady, Pierre Dönnes, John San Miguel, Matthew Rocheford, Oliver Kohlbacher, Hagit Shatkay
    Significantly Improved Prediction of Subcellular Localization by Integrating Text and Protein Sequence Data . [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2006, pp:16-27 [Conf]
  11. Hagit Shatkay
    Learning Hidden Markov Models with Geometrical Constraints. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:602-611 [Conf]
  12. Hagit Shatkay
    Hairpins in bookstacks: Information retrieval from biomedical text. [Citation Graph (0, 0)][DBLP]
    Briefings in Bioinformatics, 2005, v:6, n:3, pp:222-238 [Journal]
  13. Malik Yousef, Michael Nebozhyn, Hagit Shatkay, Stathis Kanterakis, Louise C. Showe, Michael K. Showe
    Combining multi-species genomic data for microRNA identification using a Naïve Bayes classifier. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:11, pp:1325-1334 [Journal]
  14. Monica Chagoyen, Pedro Carmona-Saez, Hagit Shatkay, José María Carazo, Alberto D. Pascual-Montano
    Discovering semantic features in the literature: a foundation for building functional associations. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:41- [Journal]
  15. Hagit Shatkay, Stephen Edwards, Mark Boguski
    Information Retrieval Meets Gene Analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2002, v:17, n:2, pp:45-53 [Journal]
  16. Hagit Shatkay, Leslie Pack Kaelbling
    Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2002, v:16, n:, pp:167-207 [Journal]
  17. Hagit Shatkay, Ronen Feldman
    Mining the Biomedical Literature in the Genomic Era: An Overview. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2003, v:10, n:6, pp:821-855 [Journal]
  18. Hagit Shatkay, Jason Miller, Clark M. Mobarry, Michael Flanigan, Shibu Yooseph, Granger G. Sutton
    ThurGood: Evaluating Assembly-to-Assembly Mapping. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2004, v:11, n:5, pp:800-811 [Journal]
  19. Phil Hyoun Lee, Hagit Shatkay
    Two Birds, One Stone: Selecting Functionally Informative Tag SNPs for Disease Association Studies. [Citation Graph (0, 0)][DBLP]
    WABI, 2007, pp:61-72 [Conf]
  20. Tiago H. Falk, Hagit Shatkay, Wai-Yip Chan
    Breast Cancer Prognosis via Gaussian Mixture Regression. [Citation Graph (0, 0)][DBLP]
    CCECE, 2006, pp:987-990 [Conf]
  21. Hagit Shatkay, Annette Höglund, Scott Brady, Torsten Blum, Pierre Dönnes, Oliver Kohlbacher
    SherLoc: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:11, pp:1410-1417 [Journal]

  22. EpiLoc: A (Working) Text-Based System for Predicting Protein Subcellular Location. [Citation Graph (, )][DBLP]

  23. Applying Probabilistic Thematic Clustering for Classification in the TREC 2005 Genomics Track. [Citation Graph (, )][DBLP]

  24. Multi-dimensional classification of biomedical text: Toward automated, practical provision of high-utility text to diverse users. [Citation Graph (, )][DBLP]

  25. An integrative scoring system for ranking SNPs by their potential deleterious effects. [Citation Graph (, )][DBLP]

  26. Ranking single nucleotide polymorphisms by potential deleterious effects. [Citation Graph (, )][DBLP]

  27. New directions in biomedical text annotation: definitions, guidelines and corpus construction. [Citation Graph (, )][DBLP]

  28. Functionally informative tag SNP selection using a pareto-optimal approach: playing the game of life. [Citation Graph (, )][DBLP]

Search in 0.005secs, Finished in 0.007secs
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
System created by [] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002