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Paul J. Kennedy
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- affiliation (PhD 1999): University of Technology Sydney, Centre for Artificial Intelligence, Australia
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2020 – today
- 2023
- [j23]Adrian Caruana
, Madhushi Niluka Bandara
Machine learning for administrative health records: A systematic review of techniques and applications. Artif. Intell. Medicine 144: 102642 (2023) - [j22]Adrian Wilkins-Caruana
Inferring actual treatment pathways from patient records. J. Biomed. Informatics 148: 104554 (2023) - [j21]Zhonglin Qu
Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study. BMC Medical Informatics Decis. Mak. 23(1): 295 (2023) - [c51]Girija Rani Karetla
IR-ER- A Hybrid Pipeline for Classifying COVID-19 RNA Seq Data. ACSW 2023: 183-189 - [c50]Hieu Vu Tran
Detecting Stress from Multivariate Time Series Data Using Topological Data Analysis. AI (1) 2023: 341-353 - [c49]Matthew Lai, Longbing Cao
An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy. IJCNN 2023: 1-8 - [c48]Riordan Dervin Alfredo
"That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers. LAK 2023: 57-67 - [i6]Adrian Caruana, Madhushi Niluka Bandara
Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications. CoRR abs/2308.14216 (2023) - [i5]Adrian Wilkins-Caruana, Madhushi Niluka Bandara
Inferring Actual Treatment Pathways from Patient Records. CoRR abs/2309.01897 (2023) - [i4]Zainab Awan, Tim Kahlke, Peter J. Ralph, Paul J. Kennedy:
Bi-Encoders based Species Normalization - Pairwise Sentence Learning to Rank. CoRR abs/2310.14366 (2023) - 2022
- [j20]Ali Braytee
Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation. IEEE Trans. Artif. Intell. 3(3): 370-380 (2022) - [c47]Adrian Caruana
Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences. AI 2022: 368-380 - [c46]Zhonglin Qu
Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations. AusDM 2022: 58-72 - 2021
- [j19]Mohammad Hesam Hesamian
Synthetic CT images for semi-sequential detection and segmentation of lung nodules. Appl. Intell. 51(3): 1616-1628 (2021) - [j18]Nastaran Maus Esfahani, Daniel R. Catchpoole, Javed Khan, Paul J. Kennedy
MCKAT: a multi-dimensional copy number variant kernel association test. BMC Bioinform. 22(1): 588 (2021) - [j17]Ahmad A. Al-Oqaily, Siamak Tafavogh, Bronwyn L. Harvey, Daniel R. Catchpoole, Paul J. Kennedy
Feature prioritisation on big genomic data for analysing gene-gene interactions. Int. J. Bioinform. Res. Appl. 17(2): 158-177 (2021) - [c45]Hieu Vu Tran
Transfer learning approaches to recognize X-ray Covid-19 images. EDOC Workshops 2021: 9-17 - [i3]Adrian Caruana, Madhushi Niluka Bandara
Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences. CoRR abs/2110.01160 (2021) - 2020
- [j16]Stephen A. Curiskis
An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit. Inf. Process. Manag. 57(2): 102034 (2020) - [j15]Mohamad Naji, Ali Braytee
Design of airport security screening using queueing theory augmented with particle swarm optimisation. Serv. Oriented Comput. Appl. 14(2): 119-133 (2020) - [j14]Lin Cui
Dual Implicit Mining-Based Latent Friend Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1663-1678 (2020) - [c44]Mohammad Hesam Hesamian, Wenjing Jia, Sean He, Paul J. Kennedy:
Region Proposal Network for Lung Nodule Detection and Segmentation. KDH@ECAI 2020: 48-52 - [c43]Adhish Panta, Matloob Khushi
Classification of Neuroblastoma Histopathological Images Using Machine Learning. ICONIP (3) 2020: 3-14
2010 – 2019
- 2019
- [j13]Mohammad Hesam Hesamian, Wenjing Jia
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges. J. Digit. Imaging 32(4): 582-596 (2019) - [j12]Ali Braytee
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance. ACM Trans. Intell. Syst. Technol. 10(5): 56:1-56:26 (2019) - [c42]Mohamad Naji, Ahmed Al-Ani, Ali Braytee
Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening. AINA Workshops 2019: 923-935 - [c41]Zainab Awan
The Effect of In-Domain Word Embeddings for Chemical Named Entity Recognition. IC3K 2019: 54-68 - [c40]Zainab Awan, Tim Kahlke, Peter J. Ralph
Chemical Named Entity Recognition with Deep Contextualized Neural Embeddings. KDIR 2019: 135-144 - [c39]Mohammad Hesam Hesamian, Wenjing Jia
Atrous Convolution for Binary Semantic Segmentation of Lung Nodule. ICASSP 2019: 1015-1019 - [c38]Andrew S. Brunker, Daniel R. Catchpoole, Paul J. Kennedy
Two-Dimensional Immersive Cohort Analysis Supporting Personalised Medical Treatment. IV (2) 2019: 34-41 - 2018
- [c37]Ali Braytee
Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional Data. ICONIP (3) 2018: 423-434 - [c36]Aedan G. K. Roberts
Variance-based Feature Selection for Classification of Cancer Subtypes Using Gene Expression Data. IJCNN 2018: 1-8 - [i2]Qinxue Meng, Jia Wu, John Ellisy, Paul J. Kennedy
Dynamic Island Model based on Spectral Clustering in Genetic Algorithm. CoRR abs/1801.01620 (2018) - [i1]Qinxue Meng, Daniel R. Catchpoole, David B. Skillicorn, Paul J. Kennedy
Relational Autoencoder for Feature Extraction. CoRR abs/1802.03145 (2018) - 2017
- [j11]Qinxue Meng
DBNorm: normalizing high-density oligonucleotide microarray data based on distributions. BMC Bioinform. 18(1): 527:1-527:11 (2017) - [c35]Soheila Gheisari, Daniel R. Catchpoole, Amanda Charlton, Paul J. Kennedy
Patched Completed Local Binary Pattern is an Effective Method for Neuroblastoma Histological Image Classification. AusDM 2017: 57-71 - [c34]Ali Braytee
Multi-Label Feature Selection using Correlation Information. CIKM 2017: 1649-1656 - [c33]Qinxue Meng, Daniel R. Catchpoole, David Skillicom, Paul J. Kennedy
Relational autoencoder for feature extraction. IJCNN 2017: 364-371 - [c32]Qinxue Meng, Jia Wu
Dynamic island model based on spectral clustering in genetic algorithm. IJCNN 2017: 1724-1731 - [c31]Ali Braytee
Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data. IJCNN 2017: 4512-4519 - 2016
- [j10]Quang Vinh Nguyen
Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions. J. Imaging 2(4): 29 (2016) - [c30]Ali Braytee
Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients. CIKM 2016: 2405-2408 - [c29]Ali Braytee
A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data. ICONIP (3) 2016: 78-86 - [c28]Shoujin Wang
Training deep neural networks on imbalanced data sets. IJCNN 2016: 4368-4374 - 2015
- [j9]Hamid Ghous, Paul J. Kennedy, Nicholas Ho, Daniel R. Catchpoole:
Comparing Functional Visualisations of Lists of Genes using Singular Value Decomposition. J. Res. Pract. Inf. Technol. 47(1) (2015) - [c27]Stephen A. Curiskis, Thomas R. Osborn, Paul J. Kennedy:
Link Prediction and Topological Feature Importance in Social Networks. AusDM 2015: 39-50 - [c26]Ali Braytee
ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm. ICMLA 2015: 594-599 - [c25]Ali Braytee
A Review and Comparison of Service E-Contract Architecture Metamodels. ICONIP (4) 2015: 583-595 - 2014
- [j8]Stephen J. Goodswen
Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology. Bioinform. 30(16): 2381-2383 (2014) - [j7]Siamak Tafavogh, Daniel R. Catchpoole, Paul J. Kennedy
Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells. BMC Bioinform. 15: 272 (2014) - [c24]Qinxue Meng, Siamak Tafavogh, Paul J. Kennedy
Community detection on heterogeneous networks by multiple semantic-path clustering. CASoN 2014: 7-12 - 2013
- [j6]Stephen J. Goodswen
A guide to in silico vaccine discovery for eukaryotic pathogens. Briefings Bioinform. 14(6): 753-774 (2013) - [j5]Ali Anaissi, Paul J. Kennedy
A balanced iterative random forest for gene selection from microarray data. BMC Bioinform. 14: 261 (2013) - [j4]Stephen J. Goodswen
A novel strategy for classifying the output from an in silico vaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms. BMC Bioinform. 14: 315 (2013) - [j3]Siamak Tafavogh, Karla Felix Navarro, Daniel R. Catchpoole, Paul J. Kennedy
Non-parametric and integrated framework for segmenting and counting neuroblastic cells within neuroblastoma tumor images. Medical Biol. Eng. Comput. 51(6): 645-655 (2013) - [c23]Siamak Tafavogh, Karla Felix Navarro, Daniel R. Catchpoole, Paul J. Kennedy
Segmenting Neuroblastoma Tumor Images and Splitting Overlapping Cells Using Shortest Paths between Cell Contour Convex Regions. AIME 2013: 171-175 - [c22]Qinxue Meng, Paul J. Kennedy
Discovering influential authors in heterogeneous academic networks by a co-ranking method. CIKM 2013: 1029-1036 - [c21]Hooman Homayounfard, Paul J. Kennedy
NARGES: Prediction Model for Informed Routing in a Communications Network. PAKDD (1) 2013: 327-338 - 2012
- [c20]Qinxue Meng, Paul J. Kennedy
Using Field of Research Codes to Discover Research Groups from Co-authorship Networks. ASONAM 2012: 289-293 - [c19]Hamid Ghous, Paul J. Kennedy, Nicholas Ho, Daniel R. Catchpoole:
Functional Visualisation of Genes using Singular Value. AusDM 2012: 53-60 - [c18]Qinxue Meng, Paul J. Kennedy:
Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks. AusDM 2012: 175-182 - [c17]Qinxue Meng, Paul J. Kennedy
Determining the Number of Clusters in Co-authorship Networks Using Social Network Theory. CGC 2012: 337-343 - [c16]Siamak Tafavogh, Paul J. Kennedy
Determining cellularity status of tumors based on histopathology using hybrid image segmentation. IJCNN 2012: 1-8 - [e6]Yanchang Zhao, Jiuyong Li, Paul J. Kennedy, Peter Christen:
Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, Australia, December 5-7, 2012. CRPIT 134, Australian Computer Society 2012, ISBN 978-1-921770-14-2 [contents] - 2011
- [c15]Alina Van, Valérie Gay, Paul J. Kennedy, Edward Barin, Peter Leijdekkers:
Understanding risk factors in cardiac rehabilitation patients with random forests and decision trees. AusDM 2011: 11-22 - [c14]Henry Santosa, John Milton, Paul J. Kennedy
HMXT-GP: an information-theoretic approach to genetic programming that maintains diversity. SAC 2011: 1070-1075 - [c13]Ali Anaissi, Paul J. Kennedy
Feature Selection of Imbalanced Gene Expression Microarray Data. SNPD 2011: 73-78 - [e5]Peter Vamplew, Andrew Stranieri, Kok-Leong Ong, Peter Christen, Paul J. Kennedy:
Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, Australia, December 2011. CRPIT 121, Australian Computer Society 2011, ISBN 978-1-921770-02-9 [contents] - 2010
- [j2]John Milton, Paul J. Kennedy
Static and Dynamic Selection Thresholds Governing the Accumulation of Information in Genetic Algorithms Using Ranked Populations. Evol. Comput. 18(2): 229-254 (2010) - [c12]Ali Anaissi, Paul J. Kennedy
A framework for high dimensional data reduction in the microarray domain. BIC-TA 2010: 903-907 - [c11]John Milton, Paul J. Kennedy
Entropy profiles of ranked and random populations. GECCO (Companion) 2010: 1843-1850
2000 – 2009
- 2009
- [c10]Hooman Homayounfard, Paul J. Kennedy:
HDAX: Historical Symbolic Modelling of Delay Time Series in a Communications Network. AusDM 2009: 129-138 - [e4]Paul J. Kennedy, Kok-Leong Ong, Peter Christen:
Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, Australia, December 2009. CRPIT 101, Australian Computer Society 2009, ISBN 978-1-920682-82-8 [contents] - 2008
- [c9]Abul Rahman, Paul J. Kennedy
Fuzzy logic based modelling and analysis of network traffic. CIT 2008: 652-657 - [c8]Ahmad A. Al-Oqaily, Paul J. Kennedy, Daniel R. Catchpoole, Simeon J. Simoff:
Comparison of Visualization Methods of Genome-wide SNP Profiles in Childhood Acute Lymphoblastic Leukaemia. AusDM 2008: 111-121 - [c7]Hamid Ghous, Paul J. Kennedy, Daniel R. Catchpoole, Simeon J. Simoff:
Kernel-based Visualisation of Genes with the Gene Ontology. AusDM 2008: 133-140 - [p1]Paul J. Kennedy
Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia. Visual Data Mining 2008: 367-388 - [e3]John F. Roddick, Jiuyong Li, Peter Christen, Paul J. Kennedy:
Data Mining and Analytics 2008, Proceedings of the Seventh Australasian Data Mining Conference (AusDM 2008). Glenelg/Adelaide, SA, Australia, 27-28 November 2008, Proceedings. CRPIT 87, Australian Computer Society 2008, ISBN 978-1-920682-68-2 [contents] - 2007
- [e2]Peter Christen, Paul J. Kennedy, Jiuyong Li, Inna Kolyshkina, Graham J. Williams:
Data Mining and Analytics 2007, Proceedings of the Sixth Australasian Data Mining Conference (AusDM 2007), Gold Coast, Queensland, Australia, December 3-4, 2007, Proceedings. CRPIT 70, Australian Computer Society 2007, ISBN 978-1-920682-51-4 [contents] - 2006
- [c6]Ahmad A. Al-Oqaily, Paul J. Kennedy:
Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets. AusDM 2006: 53-61 - [c5]Justin Luu, Paul J. Kennedy:
Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach. AusDM 2006: 155-161 - [c4]Matthew Beauregard, Paul J. Kennedy
Fast simulation of animal locomotion: lamprey swimming. IFIP PPAI 2006: 247-256 - [c3]Matthew Beauregard, Paul J. Kennedy
Robust Simulation of Lamprey Tracking. PPSN 2006: 641-650 - [e1]Peter Christen, Paul J. Kennedy, Jiuyong Li, Simeon J. Simoff, Graham J. Williams:
Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings. CRPIT 61, Australian Computer Society 2006, ISBN 1-920-68242-2 [contents] - 2005
- [c2]John Milton, Paul J. Kennedy
The Effect of Mutation on the Accumulation of Information in a Genetic Algorithm. Australian Conference on Artificial Intelligence 2005: 360-368 - 2004
- [c1]Paul J. Kennedy
Extracting and Explaining Biological Knowledge in Microarray Data. PAKDD 2004: 699-703 - 2001
- [j1]Paul J. Kennedy, Thomas R. Osborn:
A Model of Gene Expression and Regulation in an Artificial Cellular Organism. Complex Syst. 13(1) (2001)
Coauthor Index
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