Paul J Kennedy
Paul J Kennedy
Professor, School of Computer Science, University of Technology, Sydney
Verified email at - Homepage
Cited by
Cited by
Deep learning techniques for medical image segmentation: achievements and challenges
MH Hesamian, W Jia, X He, P Kennedy
Journal of digital imaging 32 (4), 582-596, 2019
Training Deep Neural Networks on Imbalanced Data Sets
S Wang, W Liu, L Cao, Q Meng, PJ Kennedy
2016 International Joint Conference on Neural Networks (IJCNN), 4368-4374, 2016
A review of the infection, genetics, and evolution of Neospora caninum: from the past to the present
SJ Goodswen, PJ Kennedy, JT Ellis
Infection, Genetics and Evolution 13, 133-150, 2013
Long non-coding RNAs harboring miRNA seed regions are enriched in prostate cancer exosomes
A Ahadi, S Brennan, PJ Kennedy, G Hutvagner, N Tran
Science Reports 6, 2016
Relational autoencoder for feature extraction
Q Meng, D Catchpoole, D Skillicom, PJ Kennedy
2017 International Joint Conference on Neural Networks (IJCNN),, 364-371, 2017
A balanced iterative random forest for gene selection from microarray data
A Anaissi, PJ Kennedy, M Goyal, DR Catchpoole
BMC Bioinformatics 14 (261), 2013
An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit
SA Curiskis, B Drake, TR Osborn, PJ Kennedy
Information Processing & Management 57 (2), 102034, 2020
Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology
SJ Goodswen, PJ Kennedy, JT Ellis
Bioinformatics 30 (16), 2381-2383, 2014
Evaluating high-throughput ab initio gene finders to discover proteins encoded in eukaryotic pathogen genomes missed by laboratory techniques
SJ Goodswen, PJ Kennedy, JT Ellis
PLoS One 7 (11), e50609, 2012
The curse of dimensionality: a blessing to personalized medicine
D Catchpoole, P Kennedy, D Skillicorn, S Simoff
Journal of Clinical Oncology, 2010
Ensemble feature learning of genomic data using support vector machine
A Anaissi, M Goyal, DR Catchpoole, A Braytee, PJ Kennedy
PLoS ONE 11 (1), 2016
A guide to in silico vaccine discovery for eukaryotic pathogens
SJ Goodswen, PJ Kennedy, JT Ellis
Briefings in bioinformatics 14 (6), 753-774, 2013
A novel strategy for classifying the output from an in silico vaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms
SJ Goodswen, PJ Kennedy, JT Ellis
BMC bioinformatics 14 (1), 1-13, 2013
Multi-Label Feature Selection using Correlation Information
A Braytee, W Liu, DR Catchpoole, PJ Kennedy
2017 ACM Conference on Information and Knowledge Management, 1649-1656, 2017
A cost-sensitive learning strategy for feature extraction from imbalanced data
A Braytee, W Liu, P Kennedy
International conference on neural information processing, 78-86, 2016
Identification of lung cancer miRNA–miRNA co-regulation networks through a progressive data refining approach
R Song, DR Catchpoole, PJ Kennedy, J Li
Journal of theoretical biology 380, 271-279, 2015
Feature selection of imbalanced gene expression microarray data
A Anaissi, PJ Kennedy, M Goyal
2011 12th ACIS International Conference on Software Engineering, Artificial …, 2011
A model of gene expression and regulation in an artificial cellular organism
PJ Kennedy, TR Osborn
Complex Systems 13 (1), 33-59, 2001
Enhancing in silico protein-based vaccine discovery for eukaryotic pathogens using predicted peptide-MHC binding and peptide conservation scores
SJ Goodswen, PJ Kennedy, JT Ellis
PloS one 9 (12), e115745, 2014
Extracting and explaining biological knowledge in microarray data
PJ Kennedy, SJ Simoff, D Skillicorn, D Catchpoole
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 699-703, 2004
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