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Jagath C. Rajapakse: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kaibo Duan, Jagath C. Rajapakse
    SVM-RFE peak selection for cancer classification with mass spectrometry data. [Citation Graph (0, 0)][DBLP]
    APBC, 2005, pp:191-200 [Conf]
  2. Kok-Sin Toh, Minh Nguyen, Jagath C. Rajapakse
    LVQ Approach Using AA Indices for Protein Subcellular Localisation Prediction. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:296-302 [Conf]
  3. Jianmin Ma, Minh Nguyen, Gavyn Pang, Jagath C. Rajapakse
    Gene Classification Using Codon Usage Patterns and SVMs. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:435-442 [Conf]
  4. Peng Wai Meng, Jagath C. Rajapakse
    Multi-class Protein Subcellular Localization Classification Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:526-0 [Conf]
  5. Xiao Yang, Jagath C. Rajapakse
    Robust Algorithm for Finding Weak Motifs. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:414-419 [Conf]
  6. Guojun Bao, Jagath C. Rajapakse
    Boundary based movement correction of functional MR data using a genetic algorithm. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:183-188 [Conf]
  7. Lu Wei, Jagath C. Rajapakse
    A neural network for undercomplete independent component analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:123-128 [Conf]
  8. Koliya Pulasinghe, Jagath C. Rajapakse
    Syntactic Approach to Predict Membrane Spanning Regions of Transmembrane Proteins. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2005, pp:95-104 [Conf]
  9. Menaka Rajapakse, J. Tan, Jagath C. Rajapakse
    Color channel encoding with NMF for face recognition. [Citation Graph (0, 0)][DBLP]
    ICIP, 2004, pp:2007-2010 [Conf]
  10. Neelam Sinha, Manojkumar Saranathan, A. G. Ramakrishnan, Juan Zhou, Jagath C. Rajapakse
    Ultra-Fast fMRI Imaging with High-Fidelity Activation Map. [Citation Graph (0, 0)][DBLP]
    ICONIP (2), 2006, pp:361-368 [Conf]
  11. Juan Zhou, Jagath C. Rajapakse
    Extraction of Fuzzy Features for Detecting Brain Activation from Functional MR Time-Series. [Citation Graph (0, 0)][DBLP]
    ICONIP (3), 2006, pp:983-992 [Conf]
  12. Bo Zheng, Jagath C. Rajapakse
    Effect of Diffusion Weighting and Number of Sensitizing Directions on Fiber Tracking in DTI. [Citation Graph (0, 0)][DBLP]
    ICONIP (3), 2006, pp:102-109 [Conf]
  13. Ravinda G. N. Meegama, Jagath C. Rajapakse
    A NURBS-Based Technique for the Segmentation of Medical Images. [Citation Graph (0, 0)][DBLP]
    ICVGIP, 2002, pp:- [Conf]
  14. Jayasanka Piyaratna, Jagath C. Rajapakse
    Spatiotemporal Analysis of Functional Images Using the Fixed Effect Model. [Citation Graph (0, 0)][DBLP]
    IPMI, 2001, pp:190-196 [Conf]
  15. Jagath C. Rajapakse, Kanyan Yang
    An Exploratory Approach to Modelling Effective Connectivity. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:844-847 [Conf]
  16. Wei Lu, Jagath C. Rajapakse
    Constrained Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:570-576 [Conf]
  17. Minh N. Nguyen, Jagath C. Rajapakse
    Two-Stage Multi-Class Support Vector Machines to Protein Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2005, pp:- [Conf]
  18. Loi Sy Ho, Jagath C. Rajapakse
    Graphical Approach to Weak Motif Recognition in Noisy Data Sets. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:23-31 [Conf]
  19. Jagath C. Rajapakse, Limsoon Wong, Raj Acharya
    Pattern Recognition in Bioinformatics: An Introduction. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:1-3 [Conf]
  20. Ravinda G. N. Meegama, Jagath C. Rajapakse
    Fully Automated Peeling Technique For T1-Weighted, High-Quality Mr Head Scans. [Citation Graph (0, 0)][DBLP]
    Int. J. Image Graphics, 2004, v:4, n:2, pp:141-156 [Journal]
  21. Wei Lu, Jagath C. Rajapakse
    Eliminating indeterminacy in ICA. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:50, n:, pp:271-290 [Journal]
  22. Jagath C. Rajapakse
    Adaptive blind signal and image processing: learning algorithms and applications: A. Cichocki, S. Amari, Wiley, New York, 2002, 586pp., ISBN 0471 60791 6. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:49, n:1-4, pp:439-443 [Journal]
  23. Ravinda G. N. Meegama, Jagath C. Rajapakse
    NURBS-Based Segmentation of the Brain in Medical Images. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2003, v:17, n:6, pp:995-1009 [Journal]
  24. Ravinda G. N. Meegama, Jagath C. Rajapakse
    NURBS snakes. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2003, v:21, n:6, pp:551-562 [Journal]
  25. Jagath C. Rajapakse, Frithjof Kruggel
    Segmentation of MR images with intensity inhomogeneities. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1998, v:16, n:3, pp:165-180 [Journal]
  26. Jagath C. Rajapakse, Frithjof Kruggel, Stefan Zysset, D. Yves von Cramon
    Neuronal and Hemodynamic Events from fMRI Time-Series. [Citation Graph (0, 0)][DBLP]
    JACIII, 1998, v:2, n:6, pp:185-194 [Journal]
  27. David Corne, Gary Fogel, Jagath C. Rajapakse, Lipo Wang
    Editorial for special issue on "Soft Computing for Bioinformatics and Medical Informatics". [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:4, pp:285-286 [Journal]
  28. Loi Sy Ho, Jagath C. Rajapakse
    Input encoding method for identifying transcription start sites in RNA polymerase II promoters by neural networks. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:4, pp:331-337 [Journal]
  29. Jagath C. Rajapakse, Loi Sy Ho
    Markov Encoding for Detecting Signals in Genomic Sequences. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:2, pp:131-142 [Journal]
  30. Jagath C. Rajapakse, Jay N. Giedd, Judith L. Rapoport
    Statistical Approach to Segmentation of Single-Channel Cerebral MR Images. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 1997, v:16, n:2, pp:176-186 [Journal]
  31. Yang Wang, Jagath C. Rajapakse
    Contextual modeling of functional MR images with conditional random fields. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2006, v:25, n:6, pp:804-812 [Journal]
  32. Kaibo Duan, Jagath C. Rajapakse, Minh N. Nguyen
    One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification. [Citation Graph (0, 0)][DBLP]
    EvoBIO, 2007, pp:47-56 [Conf]
  33. Minh N. Nguyen, Jagath C. Rajapakse, Kaibo Duan
    Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    EvoBIO, 2007, pp:187-196 [Conf]
  34. Iti Chaturvedi, Meena K. Sakharkar, Jagath C. Rajapakse
    Validation of Gene Regulatory Networks from Protein-Protein Interaction Data: Application to Cell-Cycle Regulation. [Citation Graph (0, 0)][DBLP]
    PRIB, 2007, pp:300-310 [Conf]
  35. Piyushkumar A. Mundra, Jagath C. Rajapakse
    SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection. [Citation Graph (0, 0)][DBLP]
    PRIB, 2007, pp:242-252 [Conf]
  36. Bo Zheng, Jagath C. Rajapakse
    Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling. [Citation Graph (0, 0)][DBLP]
    PRIB, 2007, pp:391-400 [Conf]
  37. Arun Kumar, Jagath C. Rajapakse
    Time-Frequency Method Based Activation Detection in Functional MRI Time-Series. [Citation Graph (0, 0)][DBLP]
    PRIB, 2007, pp:368-377 [Conf]
  38. Wei Lu, Jagath C. Rajapakse
    ICA with Reference. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:2244-2257 [Journal]
  39. Jagath C. Rajapakse, Yan-Qing Zhang, Gary B. Fogel
    Guest Editors' Introduction to the Special Section: Computational Intelligence Approaches in Computational Biology and Bioinformatics. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2007, v:4, n:2, pp:161-162 [Journal]
  40. Chunxi Chen, Jagath C. Rajapakse
    Grid-Enabled BLASTZ: Application to Comparative Genomics. [Citation Graph (0, 0)][DBLP]
    VLSI Signal Processing, 2007, v:48, n:3, pp:301-309 [Journal]

  41. Extracting decision rules in prediction of protein secondary structure. [Citation Graph (, )][DBLP]

  42. Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas. [Citation Graph (, )][DBLP]

  43. Determination of the Relative Importance of Gene Function or Taxonomic Grouping to Codon Usage Bias Using Cluster Analysis and SVMs. [Citation Graph (, )][DBLP]

  44. Comparison of Human and Mouse Pseudogenes. [Citation Graph (, )][DBLP]

  45. F-score with Pareto Front Analysis for Multiclass Gene Selection. [Citation Graph (, )][DBLP]

  46. Protein localization on cellular images with Markov random fields. [Citation Graph (, )][DBLP]

  47. Extracting EEG rhythms using ICA-R. [Citation Graph (, )][DBLP]

  48. Di-codon Usage for Gene Classification. [Citation Graph (, )][DBLP]

  49. Joint Tracking of Cell Morphology and Motion. [Citation Graph (, )][DBLP]

  50. Support Vector Based T-Score for Gene Ranking. [Citation Graph (, )][DBLP]

  51. Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models. [Citation Graph (, )][DBLP]

  52. Quantification of Cytoskeletal Protein Localization from High-Content Images. [Citation Graph (, )][DBLP]

  53. Augmenting HMM with neural network for finding gene structure. [Citation Graph (, )][DBLP]

  54. NURBS-based analysis of gender-related variability of the human brain surface. [Citation Graph (, )][DBLP]

  55. Parameter estimation of fMRI time-series using frequency analysis. [Citation Graph (, )][DBLP]

  56. Combining GOR techniques with support vector machines for protein secondary structure prediction. [Citation Graph (, )][DBLP]

  57. Fuzzy neural approach for segmentation of subcortical structures from MR head scans. [Citation Graph (, )][DBLP]

  58. Blind processing in neuroimaging: application to FMRI. [Citation Graph (, )][DBLP]

  59. Emerging region segmentation. [Citation Graph (, )][DBLP]

  60. Sub-population analysis based on temporal features of high content images. [Citation Graph (, )][DBLP]

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