Jagath C. Rajapakse

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 37

Top Venues

Publications

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)
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)
Conghao Wang, Hiok Hian Ong, Shunsuke Chiba, Jagath C. Rajapakse
De Novo Molecule Generation with Graph Latent Diffusion Model. ICASSP (2024)
Shreyas Goyal, Jagath C. Rajapakse
Self-supervised learning for hotspot detection and isolation from thermal images. Expert Syst. Appl. 237 (Part B) (2024)
Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse
Brain Structure-Function Interaction Network for Fluid Cognition Prediction. ICASSP (2024)
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 (2024)
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)
Chung Soo Ahn, Jagath C. Rajapakse, Rajib Rana
Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation. CoRR (2023)
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 (2023)
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 (2023)
Xiaoshi Zhong, Xiang Yu, Erik Cambria, Jagath C. Rajapakse
Marshall-Olkin power-law distributions in length-frequency of entities. Knowl. Based Syst. 279 (2023)
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) (2023)
Shreyas Goyal, Jagath C. Rajapakse
Self-supervised learning for hotspot detection and isolation from thermal images. CoRR (2023)
Chamara Kasun, Chung Soo Ahn, Jagath C. Rajapakse, Zhiping Lin, Guang-Bin Huang
Discriminative Adversarial Learning for Speaker Independent Emotion Recognition. INTERSPEECH (2022)
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)
Chung Soo Ahn, Chamara Kasun, Sunil Sivadas, Jagath C. Rajapakse
Recurrent multi-head attention fusion network for combining audio and text for speech emotion recognition. INTERSPEECH (2022)
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. (10) (2021)
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 (2021)
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)
Xiaoshi Zhong, Jagath C. Rajapakse
Graph embeddings on gene ontology annotations for protein-protein interaction prediction. BMC Bioinform. (16) (2020)
Wenting Liu, Jagath C. Rajapakse
Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks. BMC Syst. Biol. (2) (2019)
Rama Kaalia, Jagath C. Rajapakse
Functional homogeneity and specificity of topological modules in human proteome. BMC Bioinform. (13) (2019)
Xiaoshi Zhong, Jagath C. Rajapakse
Predicting Missing and Spurious Protein-Protein Interactions Using Graph Embeddings on GO Annotation Graph. BIBM (2019)
Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse
Decoding Brain Functional Connectivity Implicated in AD and MCI. MICCAI (3) (2019)
Sukrit Gupta, Jagath C. Rajapakse
Nodal degree distributions of resting-state functional brain modules. ISBI (2018)
Joshua Peter Ebenezer, Jagath C. Rajapakse
Automatic segmentation of skin lesions using deep learning. CoRR (2018)
Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse
Named Entity Analysis and Extraction with Uncommon Words. CoRR (2018)
Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse
Discovering Power Laws in Entity Length. CoRR (2018)
Hualin Liu, Owen Noel Newton Fernando, Jagath C. Rajapakse
Predicting Affective States of Programming Using Keyboard Data and Mouse Behaviors. ICARCV (2018)
Manik Goyal, Jagath C. Rajapakse
Deep neural network ensemble by data augmentation and bagging for skin lesion classification. CoRR (2018)
Xiuchao Sui, Shaohua Li, Jagath C. Rajapakse
Detecting functional modules of the brain using eigen value decomposition of the signless Laplacian. ISBI (2017)
Herty Liany, Jagath C. Rajapakse, R. Krishna Murthy Karuturi
MultiDCoX: Multi-factor analysis of differential co-expression. BMC Bioinform. 18 (16) (2017)
Jagath C. Rajapakse, Sukrit Gupta, Xiuchao Sui
Fitting networks models for functional brain connectivity. ISBI (2017)
Xiuchao Sui, Shaohua Li, Jagath C. Rajapakse
Locality regularized sparse subspace clustering with application to cortex parcellation on resting fMRI. ISBI (2016)
Arun Kumar, Lin Feng, Jagath C. Rajapakse
Mixed spectrum analysis in spatial context: Application to fMRI. ISBI (2016)
Arun Kumar, Feng Lin, Jagath C. Rajapakse
Mixed Spectrum Analysis on fMRI Time-Series. IEEE Trans. Medical Imaging 35 (6) (2016)
Piyushkumar A. Mundra, Jagath C. Rajapakse
Gene and sample selection using T-score with sample selection. J. Biomed. Informatics 59 (2016)
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) (2014)
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)
Piyushkumar A. Mundra, Jagath C. Rajapakse, D. A. K. Maduranga
Simultaneous Sample and Gene Selection Using T-score and Approximate Support Vectors. PRIB (2013)
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)
Wenting Liu, Kuiyu Chang, Jie Zheng, Jain Divya, Jung-Jae Kim, Jagath C. Rajapakse
Gene Regulatory Networks from Gene Ontology. ISBRA (2013)
Jagath C. Rajapakse, Piyushkumar A. Mundra
Multiclass Gene Selection Using Pareto-Fronts. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (1) (2013)
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)
Jagath C. Rajapakse, Piyushkumar A. Mundra
Stability of building gene regulatory networks with sparse autoregressive models. BMC Bioinform. 12 (S-13) (2011)
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)
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) (2011)
Jagath C. Rajapakse, Iti Chaturvedi
Stability of Inferring Gene Regulatory Structure with Dynamic Bayesian Networks. PRIB (2011)
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) (2011)
Jie Zheng, Iti Chaturvedi, Jagath C. Rajapakse
Integration of Epigenetic Data in Bayesian Network Modeling of Gene Regulatory Network. PRIB (2011)
Jagath C. Rajapakse, Song Liu
Staging tissues with conditional random fields. EMBC (2011)
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) (2011)
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)
Song Liu, Piyushkumar A. Mundra, Jagath C. Rajapakse
Features for cells and nuclei classification. EMBC (2011)
Jierong Cheng, Merlin Veronika, Jagath C. Rajapakse
Identifying Cells in Histopathological Images. ICPR Contests (2010)
Swathi Kavuri Sri, Jacek M. Zurada, Jagath C. Rajapakse
Evolutionary approach to ICA-R. IJCNN (2010)
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)
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)
Shiwen Zhu, Paul Matsudaira, Roy E. Welsch, Jagath C. Rajapakse
Quantification of Cytoskeletal Protein Localization from High-Content Images. PRIB (2010)
Jagath C. Rajapakse, Wenda Chen
Complex ICA-R. IJCNN (2010)
Jagath C. Rajapakse, Iti Chaturvedi
Gene regulatory networks with variable-order dynamic Bayesian networks. IJCNN (2010)
Piyushkumar A. Mundra, Jagath C. Rajapakse
Gene and sample selection for cancer classification with support vectors based t-statistic. Neurocomputing 73 (13-15) (2010)
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) (2010)
Piyushkumar A. Mundra, Jagath C. Rajapakse
Support vectors based correlation coefficient for gene and sample selection in cancer classification. CIBCB (2010)
Iti Chaturvedi, Jagath C. Rajapakse
Building gene networks with time-delayed regulations. Pattern Recognit. Lett. 31 (14) (2010)
Minh Ngoc Nguyen, Jianmin Ma, Gary B. Fogel, Jagath C. Rajapakse
Di-codon Usage for Gene Classification. PRIB (2009)
Jierong Cheng, Esther G. L. Koh, Sohail Ahmed, Jagath C. Rajapakse
Joint Tracking of Cell Morphology and Motion. PRIB (2009)
Jierong Cheng, Jagath C. Rajapakse
Segmentation of Clustered Nuclei With Shape Markers and Marking Function. IEEE Trans. Biomed. Eng. 56 (3) (2009)
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) (2009)
Bo Zheng, Jagath C. Rajapakse
Time Efficient DT-MRI Acquisition Parameters for Robust Estimation of Fiber Tracts. J. Signal Process. Syst. 54 (1-3) (2009)
Minh Ngoc Nguyen, Jianmin Ma, Gary B. Fogel, Jagath C. Rajapakse
Di-codon usage for classification of genes. Biosyst. 98 (1) (2009)
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) (2009)
Piyushkumar A. Mundra, Jagath C. Rajapakse
F-score with Pareto Front Analysis for Multiclass Gene Selection. EvoBIO (2009)
Swathi Kavuri Sri, Jagath C. Rajapakse
Extracting EEG rhythms using ICA-R. IJCNN (2008)
Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse
Extracting decision rules in prediction of protein secondary structure. BIBE (2008)
Piyushkumar A. Mundra, Jagath C. Rajapakse
Support Vector Based T-Score for Gene Ranking. PRIB (2008)
Iti Chaturvedi, Jagath C. Rajapakse
Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models. PRIB (2008)
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) (2008)
Song Liu, Jagath C. Rajapakse
Protein localization on cellular images with Markov random fields. IJCNN (2008)
Juan Helen Zhou, Jagath C. Rajapakse
Fuzzy approach to incorporate hemodynamic variability and contextual information for detection of brain activation. Neurocomputing 71 (16-18) (2008)
Arun Kumar, Jagath C. Rajapakse
Power spectral based detection of brain activation from fMR images. Neural Comput. Appl. 16 (6) (2007)
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) (2007)
Jagath C. Rajapakse, Juan Helen Zhou
Learning effective brain connectivity with dynamic Bayesian networks. NeuroImage 37 (3) (2007)
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)
Bo Zheng, Jagath C. Rajapakse
Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling. PRIB (2007)
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)
Pooja, Jagath C. Rajapakse
Comparison of Human and Mouse Pseudogenes. CIBCB (2007)
Piyushkumar A. Mundra, Jagath C. Rajapakse
SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection. PRIB (2007)
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) (2007)
Minh Ngoc Nguyen, Jagath C. Rajapakse, Kaibo Duan
Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines. EvoBIO (2007)
Arun Kumar, Jagath C. Rajapakse
Time-Frequency Method Based Activation Detection in Functional MRI Time-Series. PRIB (2007)
Minh Ngoc Nguyen, Jagath C. Rajapakse
Prediction of Protein Secondary Structure with two-stage multi-class SVMs. Int. J. Data Min. Bioinform. 1 (3) (2007)
Chunxi Chen, Jagath C. Rajapakse
Grid-Enabled BLASTZ: Application to Comparative Genomics. J. VLSI Signal Process. 48 (3) (2007)
Xuebin Zheng, Jagath C. Rajapakse
Learning functional structure from fMR images. NeuroImage 31 (4) (2006)
Neelam Sinha, Manojkumar Saranathan, A. G. Ramakrishnan, Juan Zhou, Jagath C. Rajapakse
Ultra-Fast fMRI Imaging with High-Fidelity Activation Map. ICONIP (2) (2006)
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) (2006)
Jagath C. Rajapakse, Limsoon Wong, Raj Acharya
Pattern Recognition in Bioinformatics: An Introduction. PRIB (2006)
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) (2006)
Juan Zhou, Jagath C. Rajapakse
Extraction of Fuzzy Features for Detecting Brain Activation from Functional MR Time-Series. ICONIP (3) (2006)
Bo Zheng, Jagath C. Rajapakse
Effect of Diffusion Weighting and Number of Sensitizing Directions on Fiber Tracking in DTI. ICONIP (3) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jagath C. Rajapakse