Jagath C. Rajapakse

Orcid: 0000-0001-7944-1658

According to our database1, Jagath C. Rajapakse authored at least 146 papers between 1990 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2012, "For contributions to computational techniques for magnetic resonance imaging".

Timeline

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Bibliography

2024
Self-supervised learning for hotspot detection and isolation from thermal images.
Expert Syst. Appl., March, 2024

GLDM: hit molecule generation with constrained graph latent diffusion model.
Briefings Bioinform., 2024

2023
Marshall-Olkin power-law distributions in length-frequency of entities.
Knowl. Based Syst., November, 2023

Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis.
IEEE J. Biomed. Health Informatics, September, 2023

Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans.
Comput. Biol. Medicine, September, 2023

Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation.
CoRR, 2023

Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Semi-supervised Learning with Data Harmonisation for Biomarker Discovery from Resting State fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Discriminative Adversarial Learning for Speaker Independent Emotion Recognition.
Proceedings of the Interspeech 2022, 2022

Recurrent multi-head attention fusion network for combining audio and text for speech emotion recognition.
Proceedings of the Interspeech 2022, 2022

Cascaded Adversarial Learning for Speaker Independent Emotion Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot.
Neurocomputing, 2021

Deep learning and multi-omics approach to predict drug responses in cancer.
BMC Bioinform., 2021

2020
Graph embeddings on gene ontology annotations for protein-protein interaction prediction.
BMC Bioinform., 2020

Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019
Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks.
BMC Syst. Biol., 2019

Functional homogeneity and specificity of topological modules in human proteome.
BMC Bioinform., 2019

Decoding Brain Functional Connectivity Implicated in AD and MCI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Predicting Missing and Spurious Protein-Protein Interactions Using Graph Embeddings on GO Annotation Graph.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Discovering Power Laws in Entity Length.
CoRR, 2018

Named Entity Analysis and Extraction with Uncommon Words.
CoRR, 2018

Deep neural network ensemble by data augmentation and bagging for skin lesion classification.
CoRR, 2018

Automatic segmentation of skin lesions using deep learning.
CoRR, 2018

Nodal degree distributions of resting-state functional brain modules.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Predicting Affective States of Programming Using Keyboard Data and Mouse Behaviors.
Proceedings of the 15th International Conference on Control, 2018

2017
MultiDCoX: Multi-factor analysis of differential co-expression.
BMC Bioinform., 2017

Detecting functional modules of the brain using eigen value decomposition of the signless Laplacian.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Fitting networks models for functional brain connectivity.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Mixed Spectrum Analysis on fMRI Time-Series.
IEEE Trans. Medical Imaging, 2016

Gene and sample selection using T-score with sample selection.
J. Biomed. Informatics, 2016

Locality regularized sparse subspace clustering with application to cortex parcellation on resting fMRI.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Mixed spectrum analysis in spatial context: Application to fMRI.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2014
Extracting rate changes in transcriptional regulation from MEDLINE abstracts.
BMC Bioinform., 2014

CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest.
Proceedings of the Pattern Recognition in Bioinformatics, 2014

2013
Multiclass Gene Selection Using Pareto-Fronts.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Simultaneous Sample and Gene Selection Using T-score and Approximate Support Vectors.
Proceedings of the Pattern Recognition in Bioinformatics, 2013

Inferring Gene Regulatory Networks from Time-Series Expressions Using Random Forests Ensemble.
Proceedings of the Pattern Recognition in Bioinformatics, 2013

Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression.
Proceedings of the Bioinformatics Research and Applications, 9th International Symposium, 2013

Gene Regulatory Networks from Gene Ontology.
Proceedings of the Bioinformatics Research and Applications, 9th International Symposium, 2013

2011
Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Correlation of cell membrane dynamics and cell motility.
BMC Bioinform., 2011

Stability of building gene regulatory networks with sparse autoregressive models.
BMC Bioinform., 2011

Tree-structured algorithm for long weak motif discovery.
Bioinform., 2011

Integration of Epigenetic Data in Bayesian Network Modeling of Gene Regulatory Network.
Proceedings of the Pattern Recognition in Bioinformatics, 2011

Stability of Inferring Gene Regulatory Structure with Dynamic Bayesian Networks.
Proceedings of the Pattern Recognition in Bioinformatics, 2011

Automated scoring of liver fibrosis through combined features from different collagen groups.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Staging tissues with conditional random fields.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Features for cells and nuclei classification.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Estimation of the population of neutrophils induced to differentiate from the MPRO mouse promyelocytic cell line.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Building gene networks with time-delayed regulations.
Pattern Recognit. Lett., 2010

Gene and sample selection for cancer classification with support vectors based t-statistic.
Neurocomputing, 2010

RecMotif: a novel fast algorithm for weak motif discovery.
BMC Bioinform., 2010

Automated Scoring System for Liver Fibrosis Diagnosis with Second Harmonic Generation Microscopy.
Aust. J. Intell. Inf. Process. Syst., 2010

Quantification of Cytoskeletal Protein Localization from High-Content Images.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

ListMotif: A time and memory efficient algorithm for weak motif discovery.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

Gene regulatory networks with variable-order dynamic Bayesian networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

Complex ICA-R.
Proceedings of the International Joint Conference on Neural Networks, 2010

Evolutionary approach to ICA-R.
Proceedings of the International Joint Conference on Neural Networks, 2010

Identifying Cells in Histopathological Images.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

Support vectors based correlation coefficient for gene and sample selection in cancer classification.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

2009
Time Efficient DT-MRI Acquisition Parameters for Robust Estimation of Fiber Tracts.
J. Signal Process. Syst., 2009

Gene Classification Using Codon Usage and Support Vector Machines.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009

Segmentation of Clustered Nuclei With Shape Markers and Marking Function.
IEEE Trans. Biomed. Eng., 2009

Sub-population analysis based on temporal features of high content images.
BMC Bioinform., 2009

Di-codon usage for classification of genes.
Biosyst., 2009

Di-codon Usage for Gene Classification.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Joint Tracking of Cell Morphology and Motion.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

F-score with Pareto Front Analysis for Multiclass Gene Selection.
Proceedings of the Evolutionary Computation, 2009

2008
Probabilistic Framework for Brain Connectivity From Functional MR Images.
IEEE Trans. Medical Imaging, 2008

Fuzzy approach to incorporate hemodynamic variability and contextual information for detection of brain activation.
Neurocomputing, 2008

Support Vector Based T-Score for Gene Ranking.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

Extracting EEG rhythms using ICA-R.
Proceedings of the International Joint Conference on Neural Networks, 2008

Protein localization on cellular images with Markov random fields.
Proceedings of the International Joint Conference on Neural Networks, 2008

Extracting decision rules in prediction of protein secondary structure.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Grid-Enabled BLASTZ: Application to Comparative Genomics.
J. VLSI Signal Process., 2007

Guest Editors' Introduction to the Special Section: Computational Intelligence Approaches in Computational Biology and Bioinformatics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Learning effective brain connectivity with dynamic Bayesian networks.
NeuroImage, 2007

Modeling hemodynamic variability with fuzzy features for detecting brain activation from fMR time-series.
Neural Comput. Appl., 2007

Power spectral based detection of brain activation from fMR images.
Neural Comput. Appl., 2007

Prediction of Protein Secondary Structure with two-stage multi-class SVMs.
Int. J. Data Min. Bioinform., 2007

Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

Time-Frequency Method Based Activation Detection in Functional MRI Time-Series.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

Validation of Gene Regulatory Networks from Protein-Protein Interaction Data: Application to Cell-Cycle Regulation.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines.
Proceedings of the Evolutionary Computation, 2007

One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification.
Proceedings of the Evolutionary Computation, 2007

Comparison of Human and Mouse Pseudogenes.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

2006
Contextual modeling of functional MR images with conditional random fields.
IEEE Trans. Medical Imaging, 2006

Input encoding method for identifying transcription start sites in RNA polymerase II promoters by neural networks.
Soft Comput., 2006

Editorial for special issue on "Soft Computing for Bioinformatics and Medical Informatics".
Soft Comput., 2006

Learning functional structure from fMR images.
NeuroImage, 2006

NURBS-based visualization of age-related diversity in cortical morphology.
J. Vis., 2006

ICA with Reference.
Neurocomputing, 2006

Pattern Recognition in Bioinformatics: An Introduction.
Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006

Graphical Approach to Weak Motif Recognition in Noisy Data Sets.
Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006

Extraction of Fuzzy Features for Detecting Brain Activation from Functional MR Time-Series.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Effect of Diffusion Weighting and Number of Sensitizing Directions on Fiber Tracking in DTI.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Ultra-Fast fMRI Imaging with High-Fidelity Activation Map.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Determination of the Relative Importance of Gene Function or Taxonomic Grouping to Codon Usage Bias Using Cluster Analysis and SVMs.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2005
Approach and applications of constrained ICA.
IEEE Trans. Neural Networks, 2005

Markov Encoding for Detecting Signals in Genomic Sequences.
IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Segmentation of subcortical brain structures using fuzzy templates.
NeuroImage, 2005

Phonological processing in Chinese-English bilingual biscriptals: An fMRI study.
NeuroImage, 2005

Two-Stage Multi-Class Support Vector Machines to Protein Secondary Structure Prediction.
Proceedings of the Biocomputing 2005, 2005

Syntactic Approach to Predict Membrane Spanning Regions of Transmembrane Proteins.
Proceedings of the Applications of Evolutionary Computing, 2005

Robust Algorithm for Finding Weak Motifs.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

LVQ Approach Using AA Indices for Protein Subcellular Localisation Prediction.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

Multi-class Protein Subcellular Localization Classification Using Support Vector Machines.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

Gene Classification Using Codon Usage Patterns and SVMs.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

SVM-RFE peak selection for cancer classification with mass spectrometry data.
Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore, 2005

2004
Fully Automated Peeling Technique For T1-Weighted, High-Quality Mr Head Scans.
Int. J. Image Graph., 2004

An Exploratory Approach to Modelling Effective Connectivity.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Color channel encoding with NMF for face recognition.
Proceedings of the 2004 International Conference on Image Processing, 2004

Graphical approach for motif recognition in DNA sequences.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

Inferring neutral evolution from Parkinson's disease genes.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

High sensitivity technique for translation initiation site detection.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

A variant of SVM-RFE for gene selection in cancer classification with expression data.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

Two-stage support vector machines to protein relative solvent accessibility prediction.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

2003
Adaptive blind signal and image processing: learning algorithms and applications [Book Review].
IEEE Trans. Neural Networks, 2003

Two-Stage support vector machines for protein secondary structure prediction.
Neural Parallel Sci. Comput., 2003

NURBS snakes.
Image Vis. Comput., 2003

NURBS-Based Segmentation of the Brain in Medical Images.
Int. J. Pattern Recognit. Artif. Intell., 2003

Eliminating indeterminacy in ICA.
Neurocomputing, 2003

2002
Adaptive blind signal and image processing: learning algorithms and applications: A. Cichocki, S. Amari, Wiley, New York, 2002, 586pp., ISBN 0471 60791 6.
Neurocomputing, 2002

A NURBS-Based Technique for the Segmentation of Medical Images.
Proceedings of the ICVGIP 2002, 2002

NURBS-based analysis of gender-related variability of the human brain surface.
Proceedings of the Seventh International Conference on Control, 2002

Blind processing in neuroimaging: application to FMRI.
Proceedings of the Seventh International Conference on Control, 2002

Emerging region segmentation.
Proceedings of the Seventh International Conference on Control, 2002

Combining GOR techniques with support vector machines for protein secondary structure prediction.
Proceedings of the Seventh International Conference on Control, 2002

Fuzzy neural approach for segmentation of subcortical structures from MR head scans.
Proceedings of the Seventh International Conference on Control, 2002

Augmenting HMM with neural network for finding gene structure.
Proceedings of the Seventh International Conference on Control, 2002

Parameter estimation of fMRI time-series using frequency analysis.
Proceedings of the Seventh International Conference on Control, 2002

2001
Bayesian approach to segmentation of statistical parametric maps.
IEEE Trans. Biomed. Eng., 2001

Spatiotemporal Analysis of Functional Images Using the Fixed Effect Model.
Proceedings of the Information Processing in Medical Imaging, 2001

2000
Constrained Independent Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

A neural network for undercomplete independent component analysis.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

Boundary based movement correction of functional MR data using a genetic algorithm.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

1998
Neuronal and Hemodynamic Events from fMRI Time-Series.
J. Adv. Comput. Intell. Intell. Informatics, 1998

Segmentation of MR images with intensity inhomogeneities.
Image Vis. Comput., 1998

1997
Statistical Approach to Segmentation of Single-Channel Cerebral MR Images.
IEEE Trans. Medical Imaging, 1997

Neuronal and Hemodynamic Responses from Functional MRI Time-Series: A Computational Model.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1991
Neuromorphic model for information fusion.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Medical image segmentation with MARA.
Proceedings of the IJCNN 1990, 1990

Multi sensor data fusion within hierarchical neural networks.
Proceedings of the IJCNN 1990, 1990


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