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) |