Paul J. Kennedy

According to our database1, Paul J. Kennedy authored at least 55 papers between 2001 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges.
J. Digital Imaging, 2019

Two-Dimensional Immersive Cohort Analysis Supporting Personalised Medical Treatment.
Proceedings of the 23rd International Conference in Information Visualization, 2019

Atrous Convolution for Binary Semantic Segmentation of Lung Nodule.
Proceedings of the IEEE International Conference on Acoustics, 2019

Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening.
Proceedings of the Web, Artificial Intelligence and Network Applications, 2019

2018
Relational Autoencoder for Feature Extraction.
CoRR, 2018

Dynamic Island Model based on Spectral Clustering in Genetic Algorithm.
CoRR, 2018

Variance-based Feature Selection for Classification of Cancer Subtypes Using Gene Expression Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional Data.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
DBNorm: normalizing high-density oligonucleotide microarray data based on distributions.
BMC Bioinformatics, 2017

Dynamic island model based on spectral clustering in genetic algorithm.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Relational autoencoder for feature extraction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi-Label Feature Selection using Correlation Information.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Patched Completed Local Binary Pattern is an Effective Method for Neuroblastoma Histological Image Classification.
Proceedings of the Data Mining, 2017

2016
Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions.
J. Imaging, 2016

Training deep neural networks on imbalanced data sets.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Comparing Functional Visualisations of Lists of Genes using Singular Value Decomposition.
Journal of Research and Practice in Information Technology, 2015

A Review and Comparison of Service E-Contract Architecture Metamodels.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Link Prediction and Topological Feature Importance in Social Networks.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

2014
Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells.
BMC Bioinformatics, 2014

Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology.
Bioinformatics, 2014

Community detection on heterogeneous networks by multiple semantic-path clustering.
Proceedings of the 6th International Conference on Computational Aspects of Social Networks, 2014

2013
Non-parametric and integrated framework for segmenting and counting neuroblastic cells within neuroblastoma tumor images.
Med. Biol. Engineering and Computing, 2013

A novel strategy for classifying the output from an in silico vaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms.
BMC Bioinformatics, 2013

A balanced iterative random forest for gene selection from microarray data.
BMC Bioinformatics, 2013

A guide to in silico vaccine discovery for eukaryotic pathogens.
Briefings in Bioinformatics, 2013

NARGES: Prediction Model for Informed Routing in a Communications Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Discovering influential authors in heterogeneous academic networks by a co-ranking method.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Segmenting Neuroblastoma Tumor Images and Splitting Overlapping Cells Using Shortest Paths between Cell Contour Convex Regions.
Proceedings of the Artificial Intelligence in Medicine, 2013

2012
Determining cellularity status of tumors based on histopathology using hybrid image segmentation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Determining the Number of Clusters in Co-authorship Networks Using Social Network Theory.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

Functional Visualisation of Genes using Singular Value.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

Using Field of Research Codes to Discover Research Groups from Co-authorship Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Feature Selection of Imbalanced Gene Expression Microarray Data.
Proceedings of the 12th ACIS International Conference on Software Engineering, 2011

HMXT-GP: an information-theoretic approach to genetic programming that maintains diversity.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Understanding risk factors in cardiac rehabilitation patients with random forests and decision trees.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

2010
Static and Dynamic Selection Thresholds Governing the Accumulation of Information in Genetic Algorithms Using Ranked Populations.
Evolutionary Computation, 2010

Entropy profiles of ranked and random populations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

A framework for high dimensional data reduction in the microarray domain.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
HDAX: Historical Symbolic Modelling of Delay Time Series in a Communications Network.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008
Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia.
Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

Kernel-based Visualisation of Genes with the Gene Ontology.
Proceedings of the Data Mining and Analytics 2008, 2008

Comparison of Visualization Methods of Genome-wide SNP Profiles in Childhood Acute Lymphoblastic Leukaemia.
Proceedings of the Data Mining and Analytics 2008, 2008

Fuzzy logic based modelling and analysis of network traffic.
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2006
Robust Simulation of Lamprey Tracking.
Proceedings of the Parallel Problem Solving from Nature, 2006

Fast simulation of animal locomotion: lamprey swimming.
Proceedings of the Toward Category-Level Object Recognition, 2006

Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach.
Proceedings of the Data Mining and Analytics 2006, 2006

Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets.
Proceedings of the Data Mining and Analytics 2006, 2006

2005
The Effect of Mutation on the Accumulation of Information in a Genetic Algorithm.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Extracting and Explaining Biological Knowledge in Microarray Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

2001
A Model of Gene Expression and Regulation in an Artificial Cellular Organism.
Complex Systems, 2001


  Loading...