Paul J Kennedy
Paul J Kennedy
Professor, School of Computer Science, University of Technology, Sydney
Verified email at - Homepage
Cited by
Cited by
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
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
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 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
A novel strategy for classifying the output from an in silicovaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms
SJ Goodswen, PJ Kennedy, JT Ellis
BMC bioinformatics 14 (1), 315, 2013
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
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
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