Paul J. Kennedy
Orcid: 0000-0001-7837-3171Affiliations:
- University of Technology Sydney, Centre for Artificial Intelligence, Australia (PhD 1999)
According to our database1,
Paul J. Kennedy
authored at least 78 papers
between 2001 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on uts.edu.au
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on scopus.com
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on orcid.org
On csauthors.net:
Bibliography
2023
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study.
BMC Medical Informatics Decis. Mak., December, 2023
J. Biomed. Informatics, December, 2023
Machine learning for administrative health records: A systematic review of techniques and applications.
Artif. Intell. Medicine, October, 2023
CoRR, 2023
"That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers.
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023
An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
Proceedings of the 2023 Australasian Computer Science Week, 2023
2022
Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation.
IEEE Trans. Artif. Intell., 2022
Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations.
Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
2021
Int. J. Bioinform. Res. Appl., 2021
BMC Bioinform., 2021
Appl. Intell., 2021
Proceedings of the 25th International Enterprise Distributed Object Computing Workshop, 2021
2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
Design of airport security screening using queueing theory augmented with particle swarm optimisation.
Serv. Oriented Comput. Appl., 2020
An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit.
Inf. Process. Manag., 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
2019
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance.
ACM Trans. Intell. Syst. Technol., 2019
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges.
J. Digit. Imaging, 2019
Proceedings of the 23rd International Conference in Information Visualization, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2019
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 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
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 Bioinform., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
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
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
J. Imaging, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
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.
J. Res. Pract. Inf. Technol., 2015
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
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015
2014
Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells.
BMC Bioinform., 2014
<i>Vacceed</i>: a high-throughput <i>in silico</i> vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology.
Bioinform., 2014
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.
Medical Biol. Eng. Comput., 2013
A novel strategy for classifying the output from an in silico vaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms.
BMC Bioinform., 2013
BMC Bioinform., 2013
Briefings Bioinform., 2013
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
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
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.
Evol. Comput., 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
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
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
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008
2006
Proceedings of the Parallel Problem Solving from Nature, 2006
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
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
2004
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004
2001
Complex Syst., 2001