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ORCIDJagath C. Rajapakse
Jagath Chandana Rajapakse
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2020 – today
- 2022
[c83]Chamara Kasun Liyanaarachchi Lekamalage, Zhiping Lin, Guang-Bin Huang, Jagath Chandana Rajapakse:
Cascaded Adversarial Learning for Speaker Independent Emotion Recognition. IJCNN 2022: 1-8- [c82]Chung Soo Ahn, L. L. Chamara Kasun, Sunil Sivadas, Jagath C. Rajapakse:
Recurrent multi-head attention fusion network for combining audio and text for speech emotion recognition. INTERSPEECH 2022: 744-748 - [c81]L. L. Chamara Kasun, Chung Soo Ahn, Jagath C. Rajapakse, Zhiping Lin, Guang-Bin Huang:
Discriminative Adversarial Learning for Speaker Independent Emotion Recognition. INTERSPEECH 2022: 4975-4979 - [c80]Yi Hao Chan
, Wei Chee Yew, Jagath C. Rajapakse:
Semi-supervised Learning with Data Harmonisation for Biomarker Discovery from Resting State fMRI. MICCAI (1) 2022: 441-451 - 2021
- [j52]Conghao Wang, Xintong Lye, Rama Kaalia, Parvin Kumar, Jagath C. Rajapakse:
Deep learning and multi-omics approach to predict drug responses in cancer. BMC Bioinform. 22-S(10): 632 (2021) - [j51]Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse, Alzheimer's Disease Neuroimaging Initiative:
Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot. Neurocomputing 453: 326-336 (2021) - 2020
- [j50]Xiaoshi Zhong, Jagath C. Rajapakse:
Graph embeddings on gene ontology annotations for protein-protein interaction prediction. BMC Bioinform. 21-S(16): 560 (2020) - [c79]Yi Hao Chan, Sukrit Gupta, L. L. Chamara Kasun, Jagath C. Rajapakse:
Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions. MLCN/RNO-AI@MICCAI 2020: 88-97
2010 – 2019
- 2019
- [j49]Rama Kaalia, Jagath C. Rajapakse:
Functional homogeneity and specificity of topological modules in human proteome. BMC Bioinform. 19-S(13): 125-138 (2019) - [j48]Wenting Liu, Jagath C. Rajapakse:
Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks. BMC Syst. Biol. 13-S(2): 37:1-37:13 (2019) - [c78]Xiaoshi Zhong, Jagath C. Rajapakse:
Predicting Missing and Spurious Protein-Protein Interactions Using Graph Embeddings on GO Annotation Graph. BIBM 2019: 1828-1835 - [c77]Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse:
Decoding Brain Functional Connectivity Implicated in AD and MCI. MICCAI (3) 2019: 781-789 - 2018
- [c76]Hualin Liu, Owen Noel Newton Fernando, Jagath C. Rajapakse:
Predicting Affective States of Programming Using Keyboard Data and Mouse Behaviors. ICARCV 2018: 1408-1413 - [c75]Sukrit Gupta, Jagath C. Rajapakse:
Nodal degree distributions of resting-state functional brain modules. ISBI 2018: 1256-1259 - [i4]Joshua Peter Ebenezer, Jagath C. Rajapakse:
Automatic segmentation of skin lesions using deep learning. CoRR abs/1807.04893 (2018) - [i3]Manik Goyal, Jagath C. Rajapakse:
Deep neural network ensemble by data augmentation and bagging for skin lesion classification. CoRR abs/1807.05496 (2018) - [i2]Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse:
Named Entity Analysis and Extraction with Uncommon Words. CoRR abs/1810.06818 (2018) - [i1]Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse:
Discovering Power Laws in Entity Length. CoRR abs/1811.03325 (2018) - 2017
- [j47]Herty Liany, Jagath C. Rajapakse, R. Krishna Murthy Karuturi:
MultiDCoX: Multi-factor analysis of differential co-expression. BMC Bioinform. 18(16): 111-124 (2017) - [c74]Xiuchao Sui, Shaohua Li, Jagath C. Rajapakse:
Detecting functional modules of the brain using eigen value decomposition of the signless Laplacian. ISBI 2017: 511-514 - [c73]Jagath C. Rajapakse, Sukrit Gupta, Xiuchao Sui:
Fitting networks models for functional brain connectivity. ISBI 2017: 515-519 - 2016
- [j46]Piyushkumar A. Mundra, Jagath C. Rajapakse:
Gene and sample selection using T-score with sample selection. J. Biomed. Informatics 59: 31-41 (2016) - [j45]Arun Kumar, Feng Lin, Jagath C. Rajapakse:
Mixed Spectrum Analysis on fMRI Time-Series. IEEE Trans. Medical Imaging 35(6): 1555-1564 (2016) - [c72]Arun Kumar, Lin Feng, Jagath C. Rajapakse:
Mixed spectrum analysis in spatial context: Application to fMRI. ISBI 2016: 302-305 - [c71]Xiuchao Sui, Shaohua Li, Jagath C. Rajapakse:
Locality regularized sparse subspace clustering with application to cortex parcellation on resting fMRI. ISBI 2016: 1286-1290 - 2014
- [j44]Wenting Liu, Kui Miao, Guangxia Li, Kuiyu Chang, Jie Zheng, Jagath C. Rajapakse:
Extracting rate changes in transcriptional regulation from MEDLINE abstracts. BMC Bioinform. 15(S-2): S4 (2014) - [c70]Seyed Ziaeddin Alborzi, D. A. K. Maduranga, Rui Fan, Jagath C. Rajapakse, Jie Zheng:
CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest. PRIB 2014: 85-97 - [e4]Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, Jagath C. Rajapakse:
Pattern Recognition in Bioinformatics - 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings. Lecture Notes in Computer Science 8626, Springer 2014, ISBN 978-3-319-09191-4 [contents] - 2013
- [j43]Jagath C. Rajapakse, Piyushkumar A. Mundra:
Multiclass Gene Selection Using Pareto-Fronts. IEEE ACM Trans. Comput. Biol. Bioinform. 10(1): 87-97 (2013) - [c69]Piyushkumar A. Mundra, Jie Zheng, Mahesan Niranjan, Roy E. Welsch, Jagath C. Rajapakse:
Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression. ISBRA 2013: 64-75 - [c68]Wenting Liu, Kuiyu Chang, Jie Zheng, Jain Divya, Jung-Jae Kim, Jagath C. Rajapakse:
Gene Regulatory Networks from Gene Ontology. ISBRA 2013: 87-98 - [c67]D. A. K. Maduranga, Jie Zheng, Piyushkumar A. Mundra, Jagath C. Rajapakse:
Inferring Gene Regulatory Networks from Time-Series Expressions Using Random Forests Ensemble. PRIB 2013: 13-22 - [c66]Piyushkumar A. Mundra, Jagath C. Rajapakse, D. A. K. Maduranga:
Simultaneous Sample and Gene Selection Using T-score and Approximate Support Vectors. PRIB 2013: 79-90 - 2011
- [j42]He Quan Sun, Malcolm Yoke Hean Low, Wen-Jing Hsu, Ching-Wai Tan, Jagath C. Rajapakse:
Tree-structured algorithm for long weak motif discovery. Bioinform. 27(19): 2641-2647 (2011) - [j41]Jagath C. Rajapakse, Piyushkumar A. Mundra:
Stability of building gene regulatory networks with sparse autoregressive models. BMC Bioinform. 12(S-13): S17 (2011) - [j40]Merlin Veronika, Roy E. Welsch, Alvin Ng, Paul Matsudaira, Jagath C. Rajapakse:
Correlation of cell membrane dynamics and cell motility. BMC Bioinform. 12(S-13): S19 (2011) - [j39]Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse:
Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 858-864 (2011) - [c65]Shuoyu Xu, Dean Tai, Aileen Wee, Roy E. Welsch, Peter So, Hanry Yu, Jagath C. Rajapakse:
Automated scoring of liver fibrosis through combined features from different collagen groups. EMBC 2011: 4503-4506 - [c64]Jagath C. Rajapakse, Song Liu:
Staging tissues with conditional random fields. EMBC 2011: 5128-5131 - [c63]Fransiskus Xaverius Ivan, Roy E. Welsch, Vincent T. K. Chow, Jagath C. Rajapakse:
Estimation of the population of neutrophils induced to differentiate from the MPRO mouse promyelocytic cell line. EMBC 2011: 6001-6004 - [c62]Song Liu, Piyushkumar A. Mundra, Jagath C. Rajapakse:
Features for cells and nuclei classification. EMBC 2011: 6601-6604 - [c61]Jie Zheng, Iti Chaturvedi, Jagath C. Rajapakse:
Integration of Epigenetic Data in Bayesian Network Modeling of Gene Regulatory Network. PRIB 2011: 87-96 - [c60]Jagath C. Rajapakse, Iti Chaturvedi:
Stability of Inferring Gene Regulatory Structure with Dynamic Bayesian Networks. PRIB 2011: 237-246 - 2010
- [j38]Shuoyu Xu, Dean Tai, Peter So, Hanry Yu, Jagath C. Rajapakse:
Automated Scoring System for Liver Fibrosis Diagnosis with Second Harmonic Generation Microscopy. Aust. J. Intell. Inf. Process. Syst. 12(2) (2010) - [j37]He Quan Sun, Malcolm Yoke Hean Low, Wen-Jing Hsu, Jagath C. Rajapakse:
RecMotif: a novel fast algorithm for weak motif discovery. BMC Bioinform. 11(S-11): S8 (2010) - [j36]Piyushkumar A. Mundra, Jagath C. Rajapakse:
Gene and sample selection for cancer classification with support vectors based t-statistic. Neurocomputing 73(13-15): 2353-2362 (2010) - [j35]Iti Chaturvedi, Jagath C. Rajapakse:
Building gene networks with time-delayed regulations. Pattern Recognit. Lett. 31(14): 2133-2137 (2010) - [c59]Piyushkumar A. Mundra, Jagath C. Rajapakse:
Support vectors based correlation coefficient for gene and sample selection in cancer classification. CIBCB 2010: 1-7 - [c58]Jierong Cheng, Merlin Veronika, Jagath C. Rajapakse:
Identifying Cells in Histopathological Images. ICPR Contests 2010: 244-252 - [c57]Swathi Kavuri Sri, Jacek M. Zurada, Jagath C. Rajapakse:
Evolutionary approach to ICA-R. IJCNN 2010: 1-6 - [c56]Jagath C. Rajapakse, Wenda Chen:
Complex ICA-R. IJCNN 2010: 1-8 - [c55]Jagath C. Rajapakse, Iti Chaturvedi:
Gene regulatory networks with variable-order dynamic Bayesian networks. IJCNN 2010: 1-5 - [c54]He Quan Sun, Malcolm Yoke Hean Low, Wen-Jing Hsu, Jagath C. Rajapakse:
ListMotif: A time and memory efficient algorithm for weak motif discovery. ISKE 2010: 254-260 - [c53]Shiwen Zhu, Paul Matsudaira, Roy E. Welsch, Jagath C. Rajapakse:
Quantification of Cytoskeletal Protein Localization from High-Content Images. PRIB 2010: 289-300
2000 – 2009
- 2009
- [j34]Minh Ngoc Nguyen, Jianmin Ma, Gary B. Fogel, Jagath C. Rajapakse:
Di-codon usage for classification of genes. Biosyst. 98(1): 1-6 (2009) - [j33]Merlin Veronika, James Evans, Paul Matsudaira, Roy E. Welsch, Jagath C. Rajapakse:
Sub-population analysis based on temporal features of high content images. BMC Bioinform. 10(S-15): 4 (2009) - [j32]Jierong Cheng, Jagath C. Rajapakse:
Segmentation of Clustered Nuclei With Shape Markers and Marking Function. IEEE Trans. Biomed. Eng. 56(3): 741-748 (2009) - [j31]Jianmin Ma, Minh Ngoc Nguyen, Jagath C. Rajapakse:
Gene Classification Using Codon Usage and Support Vector Machines. IEEE ACM Trans. Comput. Biol. Bioinform. 6(1): 134-143 (2009) - [j30]Bo Zheng, Jagath C. Rajapakse:
Time Efficient DT-MRI Acquisition Parameters for Robust Estimation of Fiber Tracts. J. Signal Process. Syst. 54(1-3): 25-31 (2009) - [c52]Piyushkumar A. Mundra, Jagath C. Rajapakse:
F-score with Pareto Front Analysis for Multiclass Gene Selection. EvoBIO 2009: 56-67 - [c51]Jierong Cheng, Esther G. L. Koh, Sohail Ahmed, Jagath C. Rajapakse:
Joint Tracking of Cell Morphology and Motion. PRIB 2009: 36-45 - [c50]Minh Ngoc Nguyen, Jianmin Ma, Gary B. Fogel, Jagath C. Rajapakse:
Di-codon Usage for Gene Classification. PRIB 2009: 211-221 - 2008
- [j29]Juan Helen Zhou, Jagath C. Rajapakse:
Fuzzy approach to incorporate hemodynamic variability and contextual information for detection of brain activation. Neurocomputing 71(16-18): 3184-3192 (2008) - [j28]Jagath C. Rajapakse, Yang Wang, Xuebin Zheng, Juan Helen Zhou:
Probabilistic Framework for Brain Connectivity From Functional MR Images. IEEE Trans. Medical Imaging 27(6): 825-833 (2008) - [c49]Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse:
Extracting decision rules in prediction of protein secondary structure. BIBE 2008: 1-6 - [c48]Song Liu, Jagath C. Rajapakse:
Protein localization on cellular images with Markov random fields. IJCNN 2008: 2127-2132 - [c47]Swathi Kavuri Sri, Jagath C. Rajapakse:
Extracting EEG rhythms using ICA-R. IJCNN 2008: 2133-2138 - [c46]Piyushkumar A. Mundra, Jagath C. Rajapakse:
Support Vector Based T-Score for Gene Ranking. PRIB 2008: 144-153 - [c45]Iti Chaturvedi, Jagath C. Rajapakse:
Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models. PRIB 2008: 214-224 - 2007
- [j27]Minh Ngoc Nguyen, Jagath C. Rajapakse:
Prediction of Protein Secondary Structure with two-stage multi-class SVMs. Int. J. Data Min. Bioinform. 1(3): 248-269 (2007) - [j26]Juan Helen Zhou, Jagath C. Rajapakse:
Modeling hemodynamic variability with fuzzy features for detecting brain activation from fMR time-series. Neural Comput. Appl. 16(6): 541-549 (2007) - [j25]Arun Kumar, Jagath C. Rajapakse:
Power spectral based detection of brain activation from fMR images. Neural Comput. Appl. 16(6): 551-557 (2007) - [j24]Jagath C. Rajapakse, Juan Helen Zhou:
Learning effective brain connectivity with dynamic Bayesian networks. NeuroImage 37(3): 749-760 (2007) - [j23]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. Biol. Bioinform. 4(2): 161-162 (2007) - [j22]Chunxi Chen, Jagath C. Rajapakse:
Grid-Enabled BLASTZ: Application to Comparative Genomics. J. VLSI Signal Process. 48(3): 301-309 (2007) - [c44]Pooja, Jagath C. Rajapakse:
Comparison of Human and Mouse Pseudogenes. CIBCB 2007: 219-224 - [c43]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 - [c42]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 - [c41]Piyushkumar A. Mundra, Jagath C. Rajapakse:
SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection. PRIB 2007: 242-252 - [c40]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 - [c39]Arun Kumar, Jagath C. Rajapakse:
Time-Frequency Method Based Activation Detection in Functional MRI Time-Series. PRIB 2007: 368-377 - [c38]Bo Zheng, Jagath C. Rajapakse:
Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling. PRIB 2007: 391-400 - [e3]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. Lecture Notes in Computer Science 4447, Springer 2007, ISBN 978-3-540-71782-9 [contents] - [e2]Jagath C. Rajapakse, Bertil Schmidt, L. Gwenn Volkert:
Pattern Recognition in Bioinformatics, Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007, Proceedings. Lecture Notes in Computer Science 4774, Springer 2007, ISBN 978-3-540-75285-1 [contents] - 2006
- [j21]Wei Lu, Jagath C. Rajapakse:
ICA with Reference. Neurocomputing 69(16-18): 2244-2257 (2006) - [j20]Ravinda G. N. Meegama, Jagath C. Rajapakse:
NURBS-based visualization of age-related diversity in cortical morphology. J. Vis. 9(1): 9-11 (2006) - [j19]Xuebin Zheng, Jagath C. Rajapakse:
Learning functional structure from fMR images. NeuroImage 31(4): 1601-1613 (2006) - [j18]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) - [j17]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) - [j16]Yang Wang, Jagath C. Rajapakse:
Contextual modeling of functional MR images with conditional random fields. IEEE Trans. Medical Imaging 25(6): 804-812 (2006) - [c37]Minh Ngoc Nguyen, Jagath C. Rajapakse:
Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas. CIBCB 2006: 1-5 - [c36]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 - [c35]Bo Zheng, Jagath C. Rajapakse:
Effect of Diffusion Weighting and Number of Sensitizing Directions on Fiber Tracking in DTI. ICONIP (3) 2006: 102-109 - [c34]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 - [c33]Juan Zhou, Jagath C. Rajapakse:
Extraction of Fuzzy Features for Detecting Brain Activation from Functional MR Time-Series. ICONIP (3) 2006: 983-992 - [c32]Jagath C. Rajapakse, Limsoon Wong, Raj Acharya:
Pattern Recognition in Bioinformatics: An Introduction. PRIB 2006: 1-3 - [c31]Loi Sy Ho, Jagath C. Rajapakse:
Graphical Approach to Weak Motif Recognition in Noisy Data Sets. PRIB 2006: 23-31 - [e1]Jagath C. Rajapakse, Limsoon Wong, Raj Acharya:
Pattern Recognition in Bioinformatics, International Workshop, PRIB 2006, Hong Kong, China, August 20, 2006, Proceedings. Lecture Notes in Computer Science 4146, Springer 2006, ISBN 3-540-37446-9 [contents] - 2005
- [j15]Wendy W. P. Tham, Susan J. Rickard Liow, Jagath C. Rajapakse, Tan Choong Leong, Samuel E. S. Ng, Winston E. H. Lim, Lynn G. Ho:
Phonological processing in Chinese-English bilingual biscriptals: An fMRI study. NeuroImage 28(3): 579-587 (2005) - [j14]Juan Helen Zhou, Jagath C. Rajapakse:
Segmentation of subcortical brain structures using fuzzy templates. NeuroImage 28(4): 915-924 (2005) - [j13]Jagath C. Rajapakse, Loi Sy Ho:
Markov Encoding for Detecting Signals in Genomic Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. 2(2): 131-142 (2005) - [j12]Wei Lu, Jagath C. Rajapakse:
Approach and applications of constrained ICA. IEEE Trans. Neural Networks 16(1): 203-212 (2005) - [c30]Kaibo Duan, Jagath C. Rajapakse:
SVM-RFE peak selection for cancer classification with mass spectrometry data. APBC 2005: 191-200 - [c29]Kok-Sin Toh, Minh Ngoc Nguyen, Jagath C. Rajapakse:
LVQ Approach Using AA Indices for Protein Subcellular Localisation Prediction. CIBCB 2005: 296-302 - [c28]Xiao Yang, Jagath C. Rajapakse:
Robust Algorithm for Finding Weak Motifs. CIBCB 2005: 414-419 - [c27]Jianmin Ma, Minh Ngoc Nguyen, Gavyn Pang, Jagath C. Rajapakse:
Gene Classification Using Codon Usage Patterns and SVMs. CIBCB 2005: 435-442 - [c26]Peng Wai Meng, Jagath C. Rajapakse:
Multi-class Protein Subcellular Localization Classification Using Support Vector Machines. CIBCB 2005: 526- - [c25]Koliya Pulasinghe, Jagath C. Rajapakse:
Syntactic Approach to Predict Membrane Spanning Regions of Transmembrane Proteins. EvoWorkshops 2005: 95-104 - [c24]Minh Ngoc Nguyen, Jagath C. Rajapakse:
Two-Stage Multi-Class Support Vector Machines to Protein Secondary Structure Prediction. Pacific Symposium on Biocomputing 2005 - 2004
- [j11]Ravinda G. N. Meegama, Jagath C. Rajapakse:
Fully Automated Peeling Technique For T1-Weighted, High-Quality Mr Head Scans. Int. J. Image Graph. 4(2): 141-156 (2004) - [c23]Kaibo Duan, Jagath C. Rajapakse:
A variant of SVM-RFE for gene selection in cancer classification with expression data. CIBCB 2004: 49-55 - [c22]Minh Ngoc Nguyen, Jagath C. Rajapakse:
Two-stage support vector machines to protein relative solvent accessibility prediction. CIBCB 2004: 67-72 - [c21]Gavyn Pang, Jagath C. Rajapakse:
Inferring neutral evolution from Parkinson's disease genes. CIBCB 2004: 102-107 - [c20]Xiao Yang, Jagath C. Rajapakse:
Graphical approach for motif recognition in DNA sequences. CIBCB 2004: 147-152 - [c19]Loi Sy Ho, Jagath C. Rajapakse:
High sensitivity technique for translation initiation site detection. CIBCB 2004: 153-159 - [c18]Menaka Rajapakse, Jeffrey Tan, Jagath C. Rajapakse:
Color channel encoding with NMF for face recognition. ICIP 2004: 2007-2010 - [c17]Jagath C. Rajapakse, Kanyan Yang:
An Exploratory Approach to Modelling Effective Connectivity. ISBI 2004: 844-847 - 2003
- [j10]