2009 |
64 | EE | Piyushkumar A. Mundra,
Jagath C. Rajapakse:
F-score with Pareto Front Analysis for Multiclass Gene Selection.
EvoBIO 2009: 56-67 |
63 | EE | Jianmin Ma,
Minh Ngoc Nguyen,
Jagath C. Rajapakse:
Gene Classification Using Codon Usage and Support Vector Machines.
IEEE/ACM Trans. Comput. Biology Bioinform. 6(1): 134-143 (2009) |
2008 |
62 | EE | Minh Ngoc Nguyen,
J. M. Zurada,
Jagath C. Rajapakse:
Extracting decision rules in prediction of protein secondary structure.
BIBE 2008: 1-6 |
61 | EE | Song Liu,
Jagath C. Rajapakse:
Protein localization on cellular images with Markov random fields.
IJCNN 2008: 2127-2132 |
60 | EE | Kavuri Swathi Sri,
Jagath C. Rajapakse:
Extracting EEG rhythms using ICA-R.
IJCNN 2008: 2133-2138 |
59 | EE | Piyushkumar A. Mundra,
Jagath C. Rajapakse:
Support Vector Based T-Score for Gene Ranking.
PRIB 2008: 144-153 |
58 | EE | Iti Chaturvedi,
Jagath C. Rajapakse:
Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models.
PRIB 2008: 214-224 |
57 | EE | Jagath C. Rajapakse,
Yang Wang,
Xuebin Zheng,
Juan Zhou:
Probabilistic Framework for Brain Connectivity From Functional MR Images.
IEEE Trans. Med. Imaging 27(6): 825-833 (2008) |
2007 |
56 | | Elena Marchiori,
Jason H. Moore,
Jagath C. Rajapakse:
Evolutionary Computation,Machine Learning and Data Mining in Bioinformatics, 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings
Springer 2007 |
55 | | Jagath C. Rajapakse,
Bertil Schmidt,
L. Gwenn Volkert:
Pattern Recognition in Bioinformatics, Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007, Proceedings
Springer 2007 |
54 | EE | Pooja,
Jagath C. Rajapakse:
Comparison of Human and Mouse Pseudogenes.
CIBCB 2007: 219-224 |
53 | EE | Minh Ngoc Nguyen,
Jagath C. Rajapakse,
Kaibo Duan:
Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines.
EvoBIO 2007: 187-196 |
52 | EE | Kaibo Duan,
Jagath C. Rajapakse,
Minh Ngoc Nguyen:
One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification.
EvoBIO 2007: 47-56 |
51 | EE | Piyushkumar A. Mundra,
Jagath C. Rajapakse:
SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection.
PRIB 2007: 242-252 |
50 | EE | Iti Chaturvedi,
Meena K. Sakharkar,
Jagath C. Rajapakse:
Validation of Gene Regulatory Networks from Protein-Protein Interaction Data: Application to Cell-Cycle Regulation.
PRIB 2007: 300-310 |
49 | EE | Arun Kumar,
Jagath C. Rajapakse:
Time-Frequency Method Based Activation Detection in Functional MRI Time-Series.
PRIB 2007: 368-377 |
48 | EE | Bo Zheng,
Jagath C. Rajapakse:
Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling.
PRIB 2007: 391-400 |
47 | EE | Jagath C. Rajapakse,
Yan-Qing Zhang,
Gary B. Fogel:
Guest Editors' Introduction to the Special Section: Computational Intelligence Approaches in Computational Biology and Bioinformatics.
IEEE/ACM Trans. Comput. Biology Bioinform. 4(2): 161-162 (2007) |
46 | EE | Minh Ngoc Nguyen,
Jagath C. Rajapakse:
Prediction of Protein Secondary Structure with two-stage multi-class SVMs.
IJDMB 1(3): 248-269 (2007) |
45 | EE | Juan Zhou,
Jagath C. Rajapakse:
Modeling hemodynamic variability with fuzzy features for detecting brain activation from fMR time-series.
Neural Computing and Applications 16(6): 541-549 (2007) |
44 | EE | Arun Kumar,
Jagath C. Rajapakse:
Power spectral based detection of brain activation from fMR images.
Neural Computing and Applications 16(6): 551-557 (2007) |
43 | EE | Chunxi Chen,
Jagath C. Rajapakse:
Grid-Enabled BLASTZ: Application to Comparative Genomics.
VLSI Signal Processing 48(3): 301-309 (2007) |
2006 |
42 | | Jagath C. Rajapakse,
Limsoon Wong,
Raj Acharya:
Pattern Recognition in Bioinformatics, International Workshop, PRIB 2006, Hong Kong, China, August 20, 2006, Proceedings
Springer 2006 |
41 | EE | Minh Ngoc Nguyen,
Jagath C. Rajapakse:
Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas.
CIBCB 2006: 1-5 |
40 | EE | Jianmin Ma,
Minh Ngoc Nguyen,
Gary B. Fogel,
Jagath C. Rajapakse:
Determination of the Relative Importance of Gene Function or Taxonomic Grouping to Codon Usage Bias Using Cluster Analysis and SVMs.
CIBCB 2006: 1-8 |
39 | EE | Neelam Sinha,
Manojkumar Saranathan,
A. G. Ramakrishnan,
Juan Zhou,
Jagath C. Rajapakse:
Ultra-Fast fMRI Imaging with High-Fidelity Activation Map.
ICONIP (2) 2006: 361-368 |
38 | EE | Bo Zheng,
Jagath C. Rajapakse:
Effect of Diffusion Weighting and Number of Sensitizing Directions on Fiber Tracking in DTI.
ICONIP (3) 2006: 102-109 |
37 | EE | Juan Zhou,
Jagath C. Rajapakse:
Extraction of Fuzzy Features for Detecting Brain Activation from Functional MR Time-Series.
ICONIP (3) 2006: 983-992 |
36 | EE | Jagath C. Rajapakse,
Limsoon Wong,
Raj Acharya:
Pattern Recognition in Bioinformatics: An Introduction.
PRIB 2006: 1-3 |
35 | EE | Loi Sy Ho,
Jagath C. Rajapakse:
Graphical Approach to Weak Motif Recognition in Noisy Data Sets.
PRIB 2006: 23-31 |
34 | EE | Yang Wang,
Jagath C. Rajapakse:
Contextual modeling of functional MR images with conditional random fields.
IEEE Trans. Med. Imaging 25(6): 804-812 (2006) |
33 | EE | Wei Lu,
Jagath C. Rajapakse:
ICA with Reference.
Neurocomputing 69(16-18): 2244-2257 (2006) |
32 | EE | David Corne,
Gary B. Fogel,
Jagath C. Rajapakse,
Lipo Wang:
Editorial for special issue on "Soft Computing for Bioinformatics and Medical Informatics".
Soft Comput. 10(4): 285-286 (2006) |
31 | EE | Loi Sy Ho,
Jagath C. Rajapakse:
Input encoding method for identifying transcription start sites in RNA polymerase II promoters by neural networks.
Soft Comput. 10(4): 331-337 (2006) |
2005 |
30 | EE | Kaibo Duan,
Jagath C. Rajapakse:
SVM-RFE peak selection for cancer classification with mass spectrometry data.
APBC 2005: 191-200 |
29 | | Kok-Sin Toh,
Minh Ngoc Nguyen,
Jagath C. Rajapakse:
LVQ Approach Using AA Indices for Protein Subcellular Localisation Prediction.
CIBCB 2005: 296-302 |
28 | | Xiao Yang,
Jagath C. Rajapakse:
Robust Algorithm for Finding Weak Motifs.
CIBCB 2005: 414-419 |
27 | | Jianmin Ma,
Minh Ngoc Nguyen,
Gavyn Pang,
Jagath C. Rajapakse:
Gene Classification Using Codon Usage Patterns and SVMs.
CIBCB 2005: 435-442 |
26 | | Peng Wai Meng,
Jagath C. Rajapakse:
Multi-class Protein Subcellular Localization Classification Using Support Vector Machines.
CIBCB 2005: 526- |
25 | EE | Koliya Pulasinghe,
Jagath C. Rajapakse:
Syntactic Approach to Predict Membrane Spanning Regions of Transmembrane Proteins.
EvoWorkshops 2005: 95-104 |
24 | EE | Minh Ngoc Nguyen,
Jagath C. Rajapakse:
Two-Stage Multi-Class Support Vector Machines to Protein Secondary Structure Prediction.
Pacific Symposium on Biocomputing 2005 |
23 | EE | Jagath C. Rajapakse,
Loi Sy Ho:
Markov Encoding for Detecting Signals in Genomic Sequences.
IEEE/ACM Trans. Comput. Biology Bioinform. 2(2): 131-142 (2005) |
2004 |
22 | | Menaka Rajapakse,
J. Tan,
Jagath C. Rajapakse:
Color channel encoding with NMF for face recognition.
ICIP 2004: 2007-2010 |
21 | | Jagath C. Rajapakse,
Kanyan Yang:
An Exploratory Approach to Modelling Effective Connectivity.
ISBI 2004: 844-847 |
20 | EE | Ravinda G. N. Meegama,
Jagath C. Rajapakse:
Fully Automated Peeling Technique For T1-Weighted, High-Quality Mr Head Scans.
Int. J. Image Graphics 4(2): 141-156 (2004) |
2003 |
19 | EE | Ravinda G. N. Meegama,
Jagath C. Rajapakse:
NURBS-Based Segmentation of the Brain in Medical Images.
IJPRAI 17(6): 995-1009 (2003) |
18 | EE | Ravinda G. N. Meegama,
Jagath C. Rajapakse:
NURBS snakes.
Image Vision Comput. 21(6): 551-562 (2003) |
17 | EE | Wei Lu,
Jagath C. Rajapakse:
Eliminating indeterminacy in ICA.
Neurocomputing 50: 271-290 (2003) |
2002 |
16 | EE | Jagath C. Rajapakse:
Blind processing in neuroimaging: application to FMRI.
ICARCV 2002: 1180-1185 |
15 | EE | Keng Wah Choo,
Jagath C. Rajapakse:
Parameter estimation of fMRI time-series using frequency analysis.
ICARCV 2002: 1293-1298 |
14 | EE | Loi Sy Ho,
Jagath C. Rajapakse,
Minh Ngoc Nguyen:
Augmenting HMM with neural network for finding gene structure.
ICARCV 2002: 1522-1527 |
13 | EE | Minh Ngoc Nguyen,
Jagath C. Rajapakse,
Loi Sy Ho:
Combining GOR techniques with support vector machines for protein secondary structure prediction.
ICARCV 2002: 1528-1533 |
12 | EE | Shi Jian,
Li Shan,
Jagath C. Rajapakse:
Fuzzy neural approach for segmentation of subcortical structures from MR head scans.
ICARCV 2002: 1534-1538 |
11 | EE | Jagath C. Rajapakse:
Emerging region segmentation.
ICARCV 2002: 1706-1709 |
10 | EE | Jagath C. Rajapakse,
Ravinda G. N. Meegama,
Loi Sy Ho:
NURBS-based analysis of gender-related variability of the human brain surface.
ICARCV 2002: 520-524 |
9 | | Ravinda G. N. Meegama,
Jagath C. Rajapakse:
A NURBS-Based Technique for the Segmentation of Medical Images.
ICVGIP 2002 |
8 | EE | 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.
Neurocomputing 49(1-4): 439-443 (2002) |
2001 |
7 | EE | Jayasanka Piyaratna,
Jagath C. Rajapakse:
Spatiotemporal Analysis of Functional Images Using the Fixed Effect Model.
IPMI 2001: 190-196 |
2000 |
6 | EE | Lu Wei,
Jagath C. Rajapakse:
A neural network for undercomplete independent component analysis.
ESANN 2000: 123-128 |
5 | EE | Guojun Bao,
Jagath C. Rajapakse:
Boundary based movement correction of functional MR data using a genetic algorithm.
ESANN 2000: 183-188 |
4 | | Wei Lu,
Jagath C. Rajapakse:
Constrained Independent Component Analysis.
NIPS 2000: 570-576 |
1998 |
3 | EE | Jagath C. Rajapakse,
Frithjof Kruggel:
Segmentation of MR images with intensity inhomogeneities.
Image Vision Comput. 16(3): 165-180 (1998) |
2 | EE | Jagath C. Rajapakse,
Frithjof Kruggel,
Stefan Zysset,
D. Yves von Cramon:
Neuronal and Hemodynamic Events from fMRI Time-Series.
JACIII 2(6): 185-194 (1998) |
1997 |
1 | | Jagath C. Rajapakse,
Jay N. Giedd,
Judith L. Rapoport:
Statistical Approach to Segmentation of Single-Channel Cerebral MR Images.
IEEE Trans. Med. Imaging 16(2): 176-186 (1997) |