Paul J. Kennedy

发表

Dual Implicit Mining-Based Latent Friend Recommendation

Lin Cui, Dechang Pi, Jia Wu, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions

Quang Vinh Nguyen, Paul J. Kennedy, Nader Hasan Khalifa, 2016, J. Imaging.

Kernel-based Visualisation of Genes with the Gene Ontology

Paul J. Kennedy, Simeon J. Simoff, Daniel R. Catchpoole, 2008, AusDM.

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

Paul J. Kennedy, Stephen J. Goodswen, John T. Ellis, 2013, BMC Bioinformatics.

CONGO: Clustering on the Gene Ontology

Paul J. Kennedy, Simeon J. Simoff, S. Simoff, 2003 .

Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks

Paul J. Kennedy, Qinxue Meng, 2012, AusDM.

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

Paul J. Kennedy, Stephen J. Goodswen, John T. Ellis, 2014, Bioinform..

Community detection on heterogeneous networks by multiple semantic-path clustering

Paul J. Kennedy, Qinxue Meng, Siamak Tafavogh, 2014, 2014 6th International Conference on Computational Aspects of Social Networks.

ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm

Ali Anaissi, Farookh Khadeer Hussain, Paul J. Kennedy, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Synthetic CT images for semi-sequential detection and segmentation of lung nodules

Xiangjian He, Wenjing Jia, Paul J. Kennedy, 2020, Applied Intelligence.

Using Artificial Intelligence to Build with Unprocessed Rock

Paul J. Kennedy, Malcolm Lambert, 2012 .

AusDM 11 : Proceedings of the Ninth Australasian Data Mining Conference

Andrew Stranieri, Kok-Leong Ong, Peter Christen, 2011, AusDM 2011.

The Effect of Mutation on the Accumulation of Information in a Genetic Algorithm

John Milton, Paul J. Kennedy, Heather Mitchell, 2005, Australian Conference on Artificial Intelligence.

Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data

Wei Liu, Paul J. Kennedy, Ali Braytee, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Discovering influential authors in heterogeneous academic networks by a co-ranking method

Paul J. Kennedy, Qinxue Meng, Qinxue Meng, 2013, CIKM.

A simple spring-loaded inverted pendulum (SLIP) model of a bio-inspired quadrupedal robot over compliant terrains

Paul D. Walker, Paul J. Kennedy, David Eager, 2018 .

Evaluating an Evolutionary Approach for Reconstructing Gene Regulatory Networks

Paul J. Kennedy, Andre Skusa, Dion Whitehead, 2004 .

Fuzzy logic based modelling and analysis of network traffic

Jenny Edwards, Abul Rahman, Andrew James Simmonds, 2008, 2008 8th IEEE International Conference on Computer and Information Technology.

Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets

Paul J. Kennedy, Ahmad A. Al-Oqaily, 2006, AusDM.

Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach

Paul J. Kennedy, Justin Luu, 2006, AusDM.

Variance-based Feature Selection for Classification of Cancer Subtypes Using Gene Expression Data

Paul J. Kennedy, Daniel R. Catchpoole, Aedan G. K. Roberts, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Data Mining and Analytics 2008, Proceedings of the Seventh Australasian Data Mining Conference (AusDM 2008). Glenelg/Adelaide, SA, Australia, 27-28 November 2008, Proceedings

John F. Roddick, Jiuyong Li, Peter Christen, 2008, Australasian Data Mining Conference.

Data mining and analytics 2009

Paul J. Kennedy, Peter Christen, K-L. Ong, 2009, AusDM 2009.

A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data

Wei Liu, Paul J. Kennedy, Ali Braytee, 2016, ICONIP.

Training deep neural networks on imbalanced data sets

Longbing Cao, Jia Wu, Paul J. Kennedy, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Non-parametric and integrated framework for segmenting and counting neuroblastic cells within neuroblastoma tumor images

Paul J. Kennedy, Karla Felix Navarro, Daniel R. Catchpoole, 2013, Medical & Biological Engineering & Computing.

Using Field of Research Codes to Discover Research Groups from Co-authorship Networks

Paul J. Kennedy, Qinxue Meng, 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients

Wei Liu, Paul J. Kennedy, Daniel R. Catchpoole, 2016, CIKM.

A balanced iterative random forest for gene selection from microarray data

Ali Anaissi, Paul J. Kennedy, Madhu Goyal, 2013, BMC Bioinformatics.

Understanding risk factors in cardiac rehabilitation patients with random forests and decision trees

Paul J. Kennedy, Valérie Gay, Peter Leijdekkers, 2011, AusDM.

Convolutional Deep Belief Network with Feature Encoding for Classification of Neuroblastoma Histological Images

Paul J. Kennedy, Soheila Gheisari, Daniel R. Catchpoole, 2018, Journal of pathology informatics.

Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70

Jiuyong Li, Peter Christen, Paul J. Kennedy, 2007 .

A framework for high dimensional data reduction in the microarray domain

Ali Anaissi, Paul J. Kennedy, Madhu Goyal, 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).

Comparison of Visualization Methods of Genome-wide SNP Profiles in Childhood Acute Lymphoblastic Leukaemia

Paul J. Kennedy, Simeon J. Simoff, Daniel R. Catchpoole, 2008, AusDM.

Multi-Label Feature Selection using Correlation Information

Wei Liu, Paul J. Kennedy, Daniel R. Catchpoole, 2017, CIKM.

A Model of Gene Expression and Regulation in an Artificial Cellular Organism

Paul J. Kennedy, Thomas R. Osborn, T. Osborn, 2001, Complex Syst..

Functional Visualisation of Genes using Singular Value

Nicholas Ho, Paul J. Kennedy, Daniel R. Catchpoole, 2012, AusDM.

Static and Dynamic Selection Thresholds Governing the Accumulation of Information in Genetic Algorithms Using Ranked Populations

John Milton, Paul J. Kennedy, J. Milton, 2010, Evolutionary Computation.

Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening

Paul J. Kennedy, Ali Anaissi, Ali Braytee, 2019, AINA Workshops.

Dimension Reduction of Microarray Data Based on Local Principal Component

Ali Anaissi, Paul J. Kennedy, Madhu Goyal, 2011 .

A Review and Comparison of Service E-Contract Architecture Metamodels

Farookh Khadeer Hussain, Asif Gill, Paul J. Kennedy, 2015, ICONIP.

Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia

David B. Skillicorn, Paul J. Kennedy, Simeon J. Simoff, 2008, Visual Data Mining.

Proceedings of the Eighth Australasian Data Mining Conference - Volume 101

Andrew Stranieri, Kok-Leong Ong, Peter Christen, 2008, AusDM 2008.

Functional visualisation of genes using singular value decomposition

Nicholas Ho, Paul J. Kennedy, Daniel Catchpoole, 2012, AusDM 2012.

Atrous Convolution for Binary Semantic Segmentation of Lung Nodule

Xiangjian He, Wenjing Jia, Paul J. Kennedy, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sparse Feature Learning Using Ensemble Model for Highly-Correlated High-Dimensional Data

Ali Anaissi, Paul J. Kennedy, Ali Braytee, 2018, ICONIP.

Segmenting Neuroblastoma Tumor Images and Splitting Overlapping Cells Using Shortest Paths between Cell Contour Convex Regions

Paul J. Kennedy, Karla Felix Navarro, Daniel R. Catchpoole, 2013, AIME.

Track Shape, Resulting Dynamics and Injury Rates of Greyhounds

Paul J. Kennedy, David Eager, Imam Hossain, 2018, Volume 13: Design, Reliability, Safety, and Risk.

Ensemble Feature Learning of Genomic Data Using Support Vector Machine

Ali Anaissi, Paul J. Kennedy, Madhu Goyal, 2016, PloS one.

NARGES: Prediction Model for Informed Routing in a Communications Network

Robin Braun, Paul J. Kennedy, Hooman Homayounfard, 2013, PAKDD.

Extracting and Explaining Biological Knowledge in Microarray Data

David B. Skillicorn, Paul J. Kennedy, Simeon J. Simoff, 2004, PAKDD.

Fast simulation of animal locomotion: lamprey swimming

John K. Debenham, Paul J. Kennedy, Matthew Beauregard, 2006, IFIP PPAI.

Strategies for winnowing microarray data

David B. Skillicorn, Michael W. Berry, Paul J. Kennedy, 2004 .

Link Prediction and Topological Feature Importance in Social Networks

Paul J. Kennedy, Thomas R. Osborn, Stephen A. Curiskis, 2015, AusDM.

An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit

Paul J. Kennedy, Barry L. Drake, Barry Drake, 2020, Inf. Process. Manag..

DBNorm: normalizing high-density oligonucleotide microarray data based on distributions

David B. Skillicorn, Paul J. Kennedy, Daniel R. Catchpoole, 2017, BMC Bioinformatics.

HDAX: Historical Symbolic Modelling of Delay Time Series in a Communications Network

Paul J. Kennedy, Hooman Homayounfard, 2009, AusDM.

HMXT-GP: an information-theoretic approach to genetic programming that maintains diversity

John Milton, Paul J. Kennedy, Henry Santosa, 2011, SAC.

Determining cellularity status of tumors based on histopathology using hybrid image segmentation

Paul J. Kennedy, Daniel R. Catchpoole, Siamak Tafavogh, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Robust Simulation of Lamprey Tracking

Paul J. Kennedy, Matthew Beauregard, M. Beauregard, 2006, PPSN.

Chemical Named Entity Recognition with Deep Contextualized Neural Embeddings

Paul J. Kennedy, Zainab Awan, Peter J. Ralph, 2019, KDIR.

Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings

Graham J. Williams, Jiuyong Li, Peter Christen, 2006, AusDM.

Comparing functional visualizations of genes

Nicholas Ho, Paul J. Kennedy, Hamid Ghous, 2011 .

Wei Liu, Paul J. Kennedy, Ali Anaissi, 2019, ACM Trans. Intell. Syst. Technol..

A guide to in silico vaccine discovery for eukaryotic pathogens

Paul J. Kennedy, Stephen J. Goodswen, John T. Ellis, 2013, Briefings Bioinform..

Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells

Paul J. Kennedy, Daniel R. Catchpoole, Siamak Tafavogh, 2014, BMC Bioinformatics.

Two-Dimensional Immersive Cohort Analysis Supporting Personalised Medical Treatment

Simeon Simoff, Quang Vinh Nguyen, Paul J. Kennedy, 2019, 2019 23rd International Conference in Information Visualization – Part II.

Patched Completed Local Binary Pattern is an Effective Method for Neuroblastoma Histological Image Classification

Paul J. Kennedy, Daniel R. Catchpoole, Soheila Gheisari, 2017, AusDM.

Comparing Functional Visualisations of Lists of Genes using Singular Value Decomposition

Nicholas Ho, Paul J. Kennedy, Daniel R. Catchpoole, 2015, J. Res. Pract. Inf. Technol..

Design of airport security screening using queueing theory augmented with particle swarm optimisation

Ali Anaissi, Paul J. Kennedy, Mohamad Naji, 2020, Service Oriented Computing and Applications.

AUTOMATED QUANTITATIVE AND QUALITATIVE ANALYSIS OF WHOLE NEUROBLASTOMA TUMOUR IMAGES FOR PROGNOSIS

Paul J. Kennedy, Daniel Catchpoole, Qinxue Meng, 2014, Robotics and Applications.

Entropy profiles of ranked and random populations

John Milton, Paul J. Kennedy, 2010, GECCO '10.

Region Proposal Network for Lung Nodule Detection and Segmentation

Wenjing Jia, Paul J. Kennedy, Mohammad Hesam Hesamian, 2020, KDH@ECAI.

Dynamic island model based on spectral clustering in genetic algorithm

Paul J. Kennedy, John T. Ellis, Qinxue Meng, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Feature Selection of Imbalanced Gene Expression Microarray Data

Ali Anaissi, Paul J. Kennedy, Madhu Goyal, 2011, 2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.

Computers can classify neuroblastic tumours from histopathological images using machine learning

Paul J. Kennedy, Soheila Gheisari, Daniel Catchpoole, 2017 .

Identifying Brain Abnormalities with Schizophrenia Based on a Hybrid Feature Selection Technology

Paul J. Kennedy, Chen Qiao, Lan Yang, 2019, Applied Sciences.

Determining the Number of Clusters in Co-authorship Networks Using Social Network Theory

Paul J. Kennedy, Qinxue Meng, Qinxue Meng, 2012, 2012 Second International Conference on Cloud and Green Computing.

Data Mining and Analytics 2007, Proceedings of the Sixth Australasian Data Mining Conference (AusDM 2007), Gold Coast, Queensland, Australia, December 3-4, 2007, Proceedings

Graham J. Williams, Jiuyong Li, Peter Christen, 2007, AusDM.

Feature prioritisation on big genomic data for analysing gene-gene interactions

Paul J. Kennedy, Ahmad A. Al-Oqaily, Siamak Tafavogh, 2021 .

Feature prioritisation on big genomic data for analysing gene-gene interactions

Paul J. Kennedy, Ahmad A. Al-Oqaily, Siamak Tafavogh, 2021, Int. J. Bioinform. Res. Appl..

MCKAT: a multi-dimensional copy number variant kernel association test

Paul J. Kennedy, Nastaran Maus Esfahani, Daniel R. Catchpoole, 2021, BMC Bioinformatics.

Multimedia Data Mining in Conjunction with Acm Sigkdd Eighth International Conference on Knowledge Discovery and Data Mining Table of Contents Multimedia Data Mining Using P-trees Scale Space Exploration for Mining Image Information Content Object Boundary Detection for Ontology-based Image Classifi

Howard J. Hamilton, Paul J. Kennedy, Tuesday, 2002 .

A double-stranded encoding scheme with inversion operator for genetic algorithms

Paul J. Kennedy, T. Osborn, 2001 .

Case-Based Retrieval Framework for Gene Expression Data

Paul J. Kennedy, Ali Braytee, M. Goyal, 2015, Cancer informatics.

A Gene-Based Positive Selection Detection Approach to Identify Vaccine Candidates Using Toxoplasma gondii as a Test Case Protozoan Pathogen

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2018, Front. Genet..

Identification of lung cancer miRNA-miRNA co-regulation networks through a progressive data refining approach.

Paul J. Kennedy, Jinyan Li, Daniel R. Catchpoole, 2015, Journal of theoretical biology.

Evaluating High-Throughput Ab Initio Gene Finders to Discover Proteins Encoded in Eukaryotic Pathogen Genomes Missed by Laboratory Techniques

Paul J. Kennedy, Stephen J. Goodswen, John T. Ellis, 2012, PloS one.

Simulation Of The Evolution Of Single Celled Organisms With Genome, Metabolism And Time-Varying Phen

Paul J. Kennedy, 1998 .

Enhancing In Silico Protein-Based Vaccine Discovery for Eukaryotic Pathogens Using Predicted Peptide-MHC Binding and Peptide Conservation Scores

Paul J. Kennedy, Stephen J. Goodswen, John T. Ellis, 2014, PloS one.

Operon Expression and Regulation with Spiders

Paul J. Kennedy, 2007 .

On the application of reverse vaccinology to parasitic diseases: a perspective on feature selection and ranking of vaccine candidates.

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2017, International journal for parasitology.

Improving the gene structure annotation of the apicomplexan parasite Neospora caninum fulfils a vital requirement towards an in silico-derived vaccine.

Paul J. Kennedy, Stephen J. Goodswen, J. Barratt, 2015, International journal for parasitology.

Evolution of Adaptive Behaviour in a Simulated Single-Celled Organism

Paul J. Kennedy, Thomas R. OsbornSchool, 2000 .

Discovering a vaccine against neosporosis using computers: is it feasible?

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2014, Trends in parasitology.

Integrative Visual Data Mining Approach to Biomedical Data : Investigating cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia

Paul J. Kennedy, Ahmad A. Al-Oqaily, D. Skillicorn, 2008 .

The Core Mouse Response to Infection by Neospora Caninum Defined by Gene Set Enrichment Analyses

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2012, Bioinformatics and biology insights.

Compilation of parasitic immunogenic proteins from 30 years of published research using machine learning and natural language processing

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2022, Scientific Reports.

The Untapped Social Impact of Artificial Intelligence for Breast Cancer Screening in Developing Countries: A Critical Commentary of DeepMind

Paul J. Kennedy, D. Catchpoole, J. Logan, 2021, Innovations in Digital Health, Diagnostics, and Biomarkers.

Machine learning and applications in microbiology

Paul J. Kennedy, Stephen J. Goodswen, Larissa Calarco, 2021, FEMS microbiology reviews.

A review of the infection, genetics, and evolution of Neospora caninum: from the past to the present.

Paul J. Kennedy, Stephen J. Goodswen, Paul J Kennedy, 2013, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Classification of Neuroblastoma Histopathological Images Using Machine Learning

Matloob Khushi, Usman Naseem, Paul J. Kennedy, 2020, ICONIP.

Relational autoencoder for feature extraction

Paul J. Kennedy, Qinxue Meng, Daniel Catchpoole, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Identification of differentially distributed gene expression and distinct sets of cancer-related genes identified by changes in mean and variability

Paul J. Kennedy, D. Catchpoole, Aedan G. K. Roberts, 2021, bioRxiv.

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

Xiangjian He, Wenjing Jia, Paul J. Kennedy, 2019, Journal of Digital Imaging.

The curse of dimensionality: a blessing to personalized medicine.

Paul J. Kennedy, Paul Kennedy, David B Skillicorn, 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

SMCKAT, a Sequential Multi-Dimensional CNV Kernel-Based Association Test

Paul J. Kennedy, D. Catchpoole, Nastaran Maus Esfahani, 2021, Life.

MCKAT: a multi-dimensional copy number variant kernel association test

Paul J. Kennedy, Nastaran Maus Esfahani, J. Khan, 2021, BMC Bioinformatics.

A balanced iterative random forest for gene selection from microarray data

Paul J. Kennedy, M. Goyal, D. Catchpoole, 2013, BMC Bioinformatics.

Applying Machine Learning to Predict the Exportome of Bovine and Canine Babesia Species That Cause Babesiosis

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2021, Pathogens.

Predicting Protein Therapeutic Candidates for Bovine Babesiosis Using Secondary Structure Properties and Machine Learning

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2021, Frontiers in Genetics.

Computational Antigen Discovery for Eukaryotic Pathogens Using Vacceed.

Paul J. Kennedy, Stephen J. Goodswen, Paul J Kennedy, 2021, Methods in molecular biology.

A combined convolutional and recurrent neural network for enhanced glaucoma detection

Paul J. Kennedy, M. Kalloniatis, Jack Phu, 2021, Scientific Reports.

IR-ER- A Hybrid Pipeline for Classifying COVID-19 RNA Seq Data

Paul J. Kennedy, S. Simoff, D. Catchpoole, 2023, ACSW.

Non-parametric and integrated framework for segmenting and counting neuroblastic cells within neuroblastoma tumor images

Paul J. Kennedy, Karla Felix Navarro, K. F. Navarro, 2013, Medical & Biological Engineering & Computing.

Design of airport security screening using queueing theory augmented with particle swarm optimisation

Paul J. Kennedy, Ali Braytee, M. Goyal, 2020, Service Oriented Computing and Applications.

A state-of-the-art methodology for high-throughput in silico vaccine discovery against protozoan parasites and exemplified with discovered candidates for Toxoplasma gondii

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2023, Scientific reports.

Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences pdf

Paul J. Kennedy, Madhushi Bandara, Paul J Kennedy, 2021, AI.

A Coevolutionary Model of a Single-Celled Organism with Double-Stranded Genome and Time-Varying Phen

Paul J. Kennedy, T. Osborn, 1999 .

A guide to current methodology and usage of reverse vaccinology towards in silico vaccine discovery.

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2023, FEMS microbiology reviews.

DBNorm: normalizing high-density oligonucleotide microarray data based on distributions

Paul J. Kennedy, D. Skillicorn, D. Catchpoole, 2017, BMC Bioinformatics.

Unsupervised Domain-Adaptation-Based Tensor Feature Learning With Structure Preservation

Paul J. Kennedy, Ali Braytee, M. Naji, 2022, IEEE Transactions on Artificial Intelligence.

Region Proposal Network for Lung Nodule Detection and Segmentation

Paul J. Kennedy, M. H. Hesamian, W. Jia, 2020, KDH@ECAI.

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

Paul J. Kennedy, M. H. Hesamian, Xiangjian He, 2019, Journal of Digital Imaging.

Discovering a vaccine against neosporosis using computers: is it feasible?

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2014, Trends in parasitology.

Review of Innovative Immersive Technologies for Healthcare Applications

Paul J. Kennedy, Chng Wei Lau, S. Simoff, 2022, Innovations in Digital Health, Diagnostics, and Biomarkers.

Machine learning and applications in microbiology

Paul J. Kennedy, Stephen J. Goodswen, Larissa Calarco, 2021, FEMS microbiology reviews.

The Effect of In-Domain Word Embeddings for Chemical Named Entity Recognition

Paul J. Kennedy, P. Ralph, Tim Kahlke, 2019, IC3K.

On the application of reverse vaccinology to parasitic diseases: a perspective on feature selection and ranking of vaccine candidates.

Paul J. Kennedy, Stephen J. Goodswen, J. Ellis, 2017, International journal for parasitology.