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Ray L. Somorjai: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. A. Bamgbade, Ray L. Somorjai, B. Dolenko, Erinija Pranckeviciene, A. E. Nikulin, Richard Baumgartner
    Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra. [Citation Graph (0, 0)][DBLP]
    AIME, 2005, pp:463-467 [Conf]
  2. Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai
    On Understanding and Assessing Feature Selection Bias. [Citation Graph (0, 0)][DBLP]
    AIME, 2005, pp:468-472 [Conf]
  3. Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai
    Consensus-Based Identification of Spectral Signatures for Classification of High-Dimensional Biomedical Spectra. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:319-322 [Conf]
  4. Erinija Pranckeviciene, TinKam Ho, Ray L. Somorjai
    Class Separability in Spaces Reduced By Feature Selection. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:254-257 [Conf]
  5. Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai
    Using Domain Knowledge for in the Random Subspace Method: Application: Application to the Classification of Biomedical Spectra. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:336-345 [Conf]
  6. Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner
    Reducing the Overconfidence of Base Classifiers when Combining Their Decisions. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:65-73 [Conf]
  7. Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai, Christopher Bowman
    Control of Sparseness for Feature Selection. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:707-715 [Conf]
  8. Ray L. Somorjai, Arunas Janeliunas, Richard Baumgartner, Sarunas Raudys
    Comparison of Two Classification Methodologies on a Real-World Biomedical Problem. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:433-441 [Conf]
  9. Mario Jarmasz, Ray L. Somorjai
    Exploring regions of interest with cluster analysis (EROICA) using a spectral peak statistic for selecting and testing the significance of fMRI activation time-series. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:25, n:1, pp:45-67 [Journal]
  10. Nicolino J. Pizzi, L. P. Choo, James R. Mansfield, Michael Jackson 0002, W. C. Halliday, Henry H. Mantsch, Ray L. Somorjai
    Neural network classification of infrared spectra of control and Alzheimer's diseased tissue. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1995, v:7, n:1, pp:67-79 [Journal]
  11. Nicolino J. Pizzi, Rodrigo A. Vivanco, Ray L. Somorjai
    EvIdent(TM): a functional magnetic resonance image analysis system. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2001, v:21, n:1-3, pp:263-269 [Journal]
  12. Erinija Pranckeviciene, Ray L. Somorjai, Richard Baumgartner, Moongu Jeon
    Identification of signatures in biomedical spectra using domain knowledge. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2005, v:35, n:3, pp:215-226 [Journal]
  13. Ray L. Somorjai
    Exploratory data analysis in functional neuroimaging. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:25, n:1, pp:1-3 [Journal]
  14. Ray L. Somorjai, Rodrigo A. Vivanco, Nicolino J. Pizzi
    A novel, direct spatio-temporal approach for analyzing fMRI experiments. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:25, n:1, pp:5-17 [Journal]
  15. Ray L. Somorjai, B. Dolenko, Richard Baumgartner
    Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:12, pp:1484-1491 [Journal]
  16. H. Katz, Roderich Walters, Ray L. Somorjai
    Rotational dynamics of large molecules. [Citation Graph (0, 0)][DBLP]
    Computers & Chemistry, 1979, v:3, n:1, pp:25-32 [Journal]
  17. Peter A. Zhilkin, Ray L. Somorjai
    Application of Several Methods of Classification Fusion to Magnetic Resonance Spectra. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1996, v:8, n:3, pp:427-442 [Journal]
  18. Heather Gordon, Nicolino J. Pizzi, Jon M. Gerrard, Ray L. Somorjai
    Assessment of Bleeding Predispositions in Tonsillectomy/Adenoidectomy Patients Using Non-Metric Clustering. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1995, v:9, n:3, pp:557-564 [Journal]
  19. Ray L. Somorjai, B. Dolenko, Aleksander B. Demko, M. Mandelzweig, A. E. Nikulin, Richard Baumgartner, Nicolino J. Pizzi
    Mapping high-dimensional data onto a relative distance plane - an exact method for visualizing and characterizing high-dimensional patterns. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2004, v:37, n:5, pp:366-379 [Journal]
  20. Ray L. Somorjai, B. Dolenko, M. Mandelzweig
    Direct classification of high-dimensional data in low-dimensional projected feature spaces - Comparison of several classification methodologies. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2007, v:40, n:2, pp:131-138 [Journal]
  21. Norm E. Davison, Hadass Eviatar, Ray L. Somorjai
    Snakes simplified. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:10, pp:1651-1664 [Journal]
  22. Richard Baumgartner, Ray L. Somorjai
    Data complexity assessment in undersampled classification of high-dimensional biomedical data. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:12, pp:1383-1389 [Journal]
  23. Hadass Eviatar, Ray L. Somorjai
    A fast, simple active contour algorithm for biomedical images. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:9, pp:969-974 [Journal]
  24. Erinija Pranckeviciene, Ray L. Somorjai
    Liknon Feature Selection for Microarrays. [Citation Graph (0, 0)][DBLP]
    WILF, 2007, pp:580-587 [Conf]

  25. Feature/Model Selection by the Linear Programming SVM Combined with State-of-Art Classifiers: What Can We Learn About the Data. [Citation Graph (, )][DBLP]


  26. On Classification Models of Gene Expression Microarrays: The Simpler the Better. [Citation Graph (, )][DBLP]


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