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Lucila Ohno-Machado: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Andreas Alexander Albrecht, Staal A. Vinterbo, C. K. Wong, Lucila Ohno-Machado
    A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:401-407 [Conf]
  2. Steven Haker, William M. Wells III, Simon K. Warfield, Ion-Florin Talos, Jui G. Bhagwat, Daniel Goldberg-Zimring, Asim Mian, Lucila Ohno-Machado, Kelly H. Zou
    Combining Classifiers Using Their Receiver Operating Characteristics and Maximum Likelihood Estimation. [Citation Graph (0, 0)][DBLP]
    MICCAI, 2005, pp:506-514 [Conf]
  3. Ju-Han Kim, Lucila Ohno-Machado, Isaac S. Kohane
    Unsupervised Learning from Complex Data: The Matrix Incision Tree Algorithm. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2001, pp:30-41 [Conf]
  4. Lucila Ohno-Machado, Winston Patrick Kuo
    Stochastic Algorithms for Gene Expression Analysis (Invited Talk). [Citation Graph (0, 0)][DBLP]
    SAGA, 2003, pp:39-49 [Conf]
  5. Lucila Ohno-Machado, Mark A. Musen
    Learning Rare Categories in Backpropagation. [Citation Graph (0, 0)][DBLP]
    SBIA, 1995, pp:201-209 [Conf]
  6. Andreas Alexander Albrecht, Staal A. Vinterbo, Lucila Ohno-Machado
    An Epicurean learning approach to gene-expression data classification. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2003, v:28, n:1, pp:75-87 [Journal]
  7. Aleksander Øhrn, Lucila Ohno-Machado
    Using Boolean reasoning to anonymize databases. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1999, v:15, n:3, pp:235-254 [Journal]
  8. Staal A. Vinterbo, Lucila Ohno-Machado
    A genetic algorithm approach to multi-disorder diagnosis. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2000, v:18, n:2, pp:117-132 [Journal]
  9. Griffin Weber, Staal A. Vinterbo, Lucila Ohno-Machado
    Multivariate selection of genetic markers in diagnostic classification. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:31, n:2, pp:155-167 [Journal]
  10. Winston Patrick Kuo, Tor-Kristian Jenssen, Atul J. Butte, Lucila Ohno-Machado, Isaac S. Kohane
    Analysis of matched mRNA measurements from two different microarray technologies. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:3, pp:405-412 [Journal]
  11. Staal A. Vinterbo, Eun-Young Kim, Lucila Ohno-Machado
    Small, fuzzy and interpretable gene expression based classifiers. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:9, pp:1964-1970 [Journal]
  12. Pedro A. F. Galante, Jeff Trimarchi, Constance L. Cepko, Sandro J. de Souza, Lucila Ohno-Machado, Winston Patrick Kuo
    Automatic correspondence of tags and genes (ACTG): a tool for the analysis of SAGE, MPSS and SBS data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:7, pp:903-905 [Journal]
  13. Staal A. Vinterbo, Stephan Dreiseitl, Lucila Ohno-Machado
    Approximation properties of haplotype tagging. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:8- [Journal]
  14. Lucila Ohno-Machado, Mark A. Musen
    Modular Neural Networks for Medical Prognosis: Quantifying the Benefits of Combining Neural Networks for Survival Prediction. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1997, v:9, n:1, pp:71-86 [Journal]
  15. Ju-Han Kim, Isaac S. Kohane, Lucila Ohno-Machado
    Visualization and evaluation of clusters for exploratory analysis of gene expression data. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2002, v:35, n:1, pp:25-36 [Journal]
  16. Richard Butterworth, Dan A. Simovici, Gustavo S. Santos, Lucila Ohno-Machado
    A greedy algorithm for supervised discretization. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2004, v:37, n:4, pp:285-292 [Journal]
  17. Winston Patrick Kuo, Eun-Young Kim, Jeff Trimarchi, Tor-Kristian Jenssen, Staal A. Vinterbo, Lucila Ohno-Machado
    A primer on gene expression and microarrays for machine learning researchers. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2004, v:37, n:4, pp:293-303 [Journal]
  18. Thomas A. Lasko, Jui G. Bhagwat, Kelly H. Zou, Lucila Ohno-Machado
    The use of receiver operating characteristic curves in biomedical informatics. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2005, v:38, n:5, pp:404-415 [Journal]
  19. Stephan Dreiseitl, Lucila Ohno-Machado
    Logistic regression and artificial neural network classification models: a methodology review. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2002, v:35, n:5-6, pp:352-359 [Journal]
  20. Stephan Dreiseitl, Lucila Ohno-Machado, Harald Kittler, Staal A. Vinterbo, Holger Billhardt, Michael Binder
    A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2001, v:34, n:1, pp:28-36 [Journal]
  21. M. E. Matheny, Lucila Ohno-Machado, Frederic S. Resnic
    Discrimination and calibration of mortality risk prediction models in interventional cardiology. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2005, v:38, n:5, pp:367-375 [Journal]
  22. Lucila Ohno-Machado
    Modeling Medical Prognosis: Survival Analysis Techniques. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2001, v:34, n:6, pp:428-439 [Journal]
  23. Lucila Ohno-Machado
    Research on machine learning issues in biomedical informatics modeling. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2004, v:37, n:4, pp:221-223 [Journal]
  24. Lucila Ohno-Machado
    Clinical machine learning. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2005, v:38, n:5, pp:345-346 [Journal]
  25. Kelly H. Zou, Frederic S. Resnic, Ion-Florin Talos, Daniel Goldberg-Zimring, Jui G. Bhagwat, Steven Haker, Ron Kikinis, Ferenc A. Jolesz, Lucila Ohno-Machado
    A global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2005, v:38, n:5, pp:395-403 [Journal]
  26. Griffin Weber, Lucila Ohno-Machado, Stuart M. Shieber
    Representation in stochastic search for phylogenetic tree reconstruction. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2006, v:39, n:1, pp:43-50 [Journal]
  27. Lucila Ohno-Machado, Staal A. Vinterbo, Griffin Weber
    Classification of gene expression data using fuzzy logic. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2002, v:12, n:1, pp:19-24 [Journal]

  28. Evaluation of a large-scale biomedical data annotation initiative. [Citation Graph (, )][DBLP]


  29. Towards large-scale sample annotation in gene expression repositories. [Citation Graph (, )][DBLP]


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