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Jagath C. Rajapakse
Jagath Chandana Rajapakse
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2020 – today
- 2025
- [j61]Charlene Zhi Lin Ong, Ashwati Vipin, Yi Jin Leow, Pricilia Tanoto, Faith Phemie Hui En Lee, Smriti Ghildiyal, Shan Yao Liew, Yanteng Zhang, Asad Abu Bakar Ali, Jagath C. Rajapakse, Nagaendran Kandiah:
Classification of cognitive syndromes in a Southeast Asian population: Interpretable graph convolutional neural networks. Knowl. Based Syst. 309: 112855 (2025) - 2024
- [j60]Jagath C. Rajapakse
, Chun Hung How
, Yi Hao Chan
, Luke Chin Peng Hao, Abhinandan Padhi
, Vivek Adrakatti
, Iram Rais Alam Khan, Tchoyoson Lim:
Two-Stage Approach to Intracranial Hemorrhage Segmentation From Head CT Images. IEEE Access 12: 60839-60848 (2024) - [j59]Conghao Wang
, Hiok Hian Ong
, Shunsuke Chiba, Jagath C. Rajapakse
:
GLDM: hit molecule generation with constrained graph latent diffusion model. Briefings Bioinform. 25(3) (2024) - [j58]Shreyas Goyal
, Jagath C. Rajapakse
:
Self-supervised learning for hotspot detection and isolation from thermal images. Expert Syst. Appl. 237(Part B): 121566 (2024) - [j57]Yuhuan Lu
, Guanghua Tan
, Bin Pu
, Hang Wang
, Bocheng Liang, Kenli Li
, Jagath C. Rajapakse
:
SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease. IEEE J. Biomed. Health Informatics 28(10): 6105-6116 (2024) - [c94]Yubin Zheng, Peng Tang, Tianjie Ju, Hao Wang, Weidong Qiu, Jagath C. Rajapakse:
Federated Semi-supervised Learning for Medical Image Segmentation with Intra-client and Inter-client Consistency. BIBM 2024: 4054-4059 - [c93]Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse:
Brain Structure-Function Interaction Network for Fluid Cognition Prediction. ICASSP 2024: 1706-1710 - [c92]Conghao Wang, Hiok Hian Ong, Shunsuke Chiba, Jagath C. Rajapakse:
De Novo Molecule Generation with Graph Latent Diffusion Model. ICASSP 2024: 2121-2125 - [c91]Yi Hao Chan, Jun Liang Ang, Sukrit Gupta, Yinan He, Jagath C. Rajapakse:
Subtype-Specific Biomarkers of Alzheimer's Disease from Anatomical and Functional Connectomes via Graph Neural Networks. ICASSP 2024: 2195-2199 - [c90]Yige Yan, Jun Cheng, Xulei Yang, Zaiwang Gu, Shuang Leng, Ru San Tan, Liang Zhong, Jagath C. Rajapakse:
Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from Non-contrast Cardiac Magnetic Resonance. MICCAI (1) 2024: 231-241 - [c89]Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse:
IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis. MICCAI (10) 2024: 470-480 - [i11]Yi Hao Chan, Deepank Girish, Sukrit Gupta, Jing Xia, Chockalingam Kasi, Yinan He, Conghao Wang, Jagath C. Rajapakse:
Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review. CoRR abs/2405.00577 (2024) - [i10]Pengfei Lyu, Pak-Hei Yeung, Xiufei Cheng, Xiaosheng Yu, Chengdong Wu, Jagath C. Rajapakse:
Efficient Fourier Filtering Network with Contrastive Learning for UAV-based Unaligned Bi-modal Salient Object Detection. CoRR abs/2411.03728 (2024) - [i9]Pengfei Lyu, Xiaosheng Yu, Chengdong Wu, Jagath C. Rajapakse:
Deep Fourier-embedded Network for Bi-modal Salient Object Detection. CoRR abs/2411.18409 (2024) - [i8]Conghao Wang, Yuguang Mu, Jagath C. Rajapakse:
Pharmacophore-constrained de novo drug design with diffusion bridge. CoRR abs/2412.19812 (2024) - 2023
- [j56]Yanteng Zhang
, Xiaohai He, Yi Hao Chan
, Qizhi Teng, Jagath C. Rajapakse
:
Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans. Comput. Biol. Medicine 164: 107328 (2023) - [j55]Xiaoshi Zhong
, Xiang Yu
, Erik Cambria
, Jagath C. Rajapakse
:
Marshall-Olkin power-law distributions in length-frequency of entities. Knowl. Based Syst. 279: 110942 (2023) - [j54]Shunxin Xiao
, Huibin Lin
, Conghao Wang
, Shiping Wang
, Jagath C. Rajapakse
:
Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis. IEEE J. Biomed. Health Informatics 27(9): 4591-4600 (2023) - [c88]Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong Lu, Zhihao Wu, Shiping Wang, Jagath C. Rajapakse:
Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification. BIBM 2023: 1983-1988 - [i7]Yanteng Zhang, Xiaohai He, Yi Hao Chan, Qizhi Teng, Jagath C. Rajapakse:
Multi-modal Graph Neural Network for Early Diagnosis of Alzheimer's Disease from sMRI and PET Scans. CoRR abs/2307.16366 (2023) - [i6]Shreyas Goyal
, Jagath C. Rajapakse:
Self-supervised learning for hotspot detection and isolation from thermal images. CoRR abs/2308.13204 (2023) - [i5]Chung Soo Ahn
, Jagath C. Rajapakse, Rajib Rana:
Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation. CoRR abs/2310.04703 (2023) - 2022
- [j53]Pauline Hiort, Julian Hugo, Justus Zeinert, Nataniel Müller, Spoorthi Kashyap, Jagath C. Rajapakse, Francisco Azuaje, Bernhard Y. Renard, Katharina Baum:
DrDimont: explainable drug response prediction from differential analysis of multi-omics networks. Bioinform. 38(Supplement_2): ii113-ii119 (2022) - [c87]Chamara Kasun Liyanaarachchi Lekamalage, Zhiping Lin, Guang-Bin Huang, Jagath Chandana Rajapakse:
Cascaded Adversarial Learning for Speaker Independent Emotion Recognition. IJCNN 2022: 1-8 - [c86]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 - [c85]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 - [c84]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) - [c83]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) - [c82]Xiaoshi Zhong
, Jagath C. Rajapakse:
Predicting Missing and Spurious Protein-Protein Interactions Using Graph Embeddings on GO Annotation Graph. BIBM 2019: 1828-1835 - [c81]Sukrit Gupta
, Yi Hao Chan
, Jagath C. Rajapakse
:
Decoding Brain Functional Connectivity Implicated in AD and MCI. MICCAI (3) 2019: 781-789 - 2018
- [c80]Hualin Liu, Owen Noel Newton Fernando
, Jagath C. Rajapakse
:
Predicting Affective States of Programming Using Keyboard Data and Mouse Behaviors. ICARCV 2018: 1408-1413 - [c79]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) - [c78]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 - [c77]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) - [c76]Arun Kumar, Lin Feng, Jagath C. Rajapakse
:
Mixed spectrum analysis in spatial context: Application to fMRI. ISBI 2016: 302-305 - [c75]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) - [c74]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) - [c73]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 - [c72]Wenting Liu, Kuiyu Chang, Jie Zheng, Jain Divya, Jung-Jae Kim
, Jagath C. Rajapakse
:
Gene Regulatory Networks from Gene Ontology. ISBRA 2013: 87-98 - [c71]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 - [c70]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) - [c69]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 - [c68]Jagath C. Rajapakse
, Song Liu:
Staging tissues with conditional random fields. EMBC 2011: 5128-5131 - [c67]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 - [c66]Song Liu, Piyushkumar A. Mundra
, Jagath C. Rajapakse
:
Features for cells and nuclei classification. EMBC 2011: 6601-6604 - [c65]Jie Zheng
, Iti Chaturvedi
, Jagath C. Rajapakse
:
Integration of Epigenetic Data in Bayesian Network Modeling of Gene Regulatory Network. PRIB 2011: 87-96 - [c64]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) - [c63]Piyushkumar A. Mundra
, Jagath C. Rajapakse
:
Support vectors based correlation coefficient for gene and sample selection in cancer classification. CIBCB 2010: 1-7 - [c62]Jierong Cheng, Merlin Veronika, Jagath C. Rajapakse
:
Identifying Cells in Histopathological Images. ICPR Contests 2010: 244-252 - [c61]Swathi Kavuri Sri, Jacek M. Zurada, Jagath C. Rajapakse
:
Evolutionary approach to ICA-R. IJCNN 2010: 1-6 - [c60]Jagath C. Rajapakse
, Wenda Chen
:
Complex ICA-R. IJCNN 2010: 1-8 - [c59]Jagath C. Rajapakse
, Iti Chaturvedi
:
Gene regulatory networks with variable-order dynamic Bayesian networks. IJCNN 2010: 1-5 - [c58]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 - [c57]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) - [c56]Piyushkumar A. Mundra
, Jagath C. Rajapakse
:
F-score with Pareto Front Analysis for Multiclass Gene Selection. EvoBIO 2009: 56-67 - [c55]Jierong Cheng, Esther G. L. Koh, Sohail Ahmed, Jagath C. Rajapakse
:
Joint Tracking of Cell Morphology and Motion. PRIB 2009: 36-45 - [c54]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) - [c53]Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse
:
Extracting decision rules in prediction of protein secondary structure. BIBE 2008: 1-6 - [c52]Song Liu, Jagath C. Rajapakse
:
Protein localization on cellular images with Markov random fields. IJCNN 2008: 2127-2132 - [c51]Swathi Kavuri Sri, Jagath C. Rajapakse
:
Extracting EEG rhythms using ICA-R. IJCNN 2008: 2133-2138 - [c50]Piyushkumar A. Mundra
, Jagath C. Rajapakse:
Support Vector Based T-Score for Gene Ranking. PRIB 2008: 144-153 - [c49]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) - [c48]Pooja, Jagath C. Rajapakse:
Comparison of Human and Mouse Pseudogenes. CIBCB 2007: 219-224 - [c47]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 - [c46]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 - [c45]Piyushkumar A. Mundra
, Jagath C. Rajapakse:
SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection. PRIB 2007: 242-252 - [c44]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 - [c43]Arun Kumar, Jagath C. Rajapakse:
Time-Frequency Method Based Activation Detection in Functional MRI Time-Series. PRIB 2007: 368-377 - [c42]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) - [c41]