James M. Hogan

According to our database1, James M. Hogan authored at least 45 papers between 1992 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Sequence Representations and Their Utility for Predicting Protein-Protein Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
Collaborative Sense-Making in Genomic Research: The Role of Visualisation.
IEEE Trans. Vis. Comput. Graph., 2022

2020
Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs.
Algorithms, 2020

2019
Alignment-free inference of hierarchical and reticulate phylogenomic relationships.
Briefings Bioinform., 2019

2018
Rapid analysis of metagenomic data using signature-based clustering.
BMC Bioinform., 2018

Rapid hierarchical clustering of biological sequences.
Proceedings of the 23rd Australasian Document Computing Symposium, 2018

Protein database search using compressed k-mer vocabularies.
Proceedings of the 23rd Australasian Document Computing Symposium, 2018

2017
Metric learning on biological sequence embeddings.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Iterative Design and Evaluation of Regulatory Network Visualisation at Scale.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Similarity Projection: A Geometric Measure for Comparison of Biological Sequences.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Signature-based clustering for analysis of the wound microbiome.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

K-Means Clustering of Biological Sequences.
Proceedings of the 22nd Australasian Document Computing Symposium, 2017

2016
Distributed Representations for Biological Sequence Analysis.
CoRR, 2016

Evaluating Viewpoint Entropy for Ribbon Representation of Protein Structure.
Comput. Graph. Forum, 2016

Using videogames to improve molecular graphics tools.
Proceedings of the 28th Australian Conference on Computer-Human Interaction, 2016

Can Videogame Players Inform Better Scientific Visualization'.
Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play, 2016

2015
Visual Analytics for Large-Scale Bioinformatic Data Sets.
Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction, 2015

Planting Bugs: A System for Testing Students' Unit Tests.
Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, 2015

Large Scale Comparative Visualisation of Regulatory Networks with TRNDiff.
Proceedings of the International Conference on Computational Science, 2015

2014
Large Scale Read Classification forNext Generation Sequencing.
Proceedings of the International Conference on Computational Science, 2014

Computational Science for Undergraduate Biologists via QUT.Bio.Excel.
Proceedings of the International Conference on Computational Science, 2014

Locality-Sensitive Hashing for Protein Classification.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

2013
Consensus Sigma-70 Promoter Prediction Using Hadoop.
Proceedings of the 9th IEEE International Conference on eScience, 2013

Predicting Fault-Prone Software Modules with Rank Sum Classification.
Proceedings of the 22nd Australian Conference on Software Engineering (ASWEC 2013), 2013

2011
Recruitment Learning
Studies in Computational Intelligence 303, Springer, ISBN: 978-3-642-14027-3, 2011

Biomashups: the new world of exploratory bioinformatics?
Concurr. Comput. Pract. Exp., 2011

2008
The cross-species prediction of bacterial promoters using a support vector machine.
Comput. Biol. Chem., 2008

Comparative Studies Simplified in GPFlow.
Proceedings of the Computational Science, 2008

Comparative Studies Made Simple in GPFlow.
Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008

2006
The Prediction of Bacterial Transcription Start Sites Using Svms.
Int. J. Neural Syst., 2006

Improved prediction of bacterial transcription start sites.
Bioinform., 2006

2005
Quality Assurance in a Student-Based Agile Software Engineering Process.
Proceedings of the 16th Australian Software Engineering Conference (ASWEC 2005), 31 March, 2005

Developing the Software Engineering Team.
Proceedings of the Seventh Australasian Computing Education Conference (ACE 2005), 2005

Tight Spirals and Industry Clients: The Modern SE Education Experience.
Proceedings of the Seventh Australasian Computing Education Conference (ACE 2005), 2005

2004
Developing and Delivering a Software Internationalisation Subject.
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004

Key Challenges in Software Internationalisation.
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004

2002
Recruitment learning in randomly connected neural networks.
PhD thesis, 2002

Advanced mean field methods: theory and practice: M. Opper and D. Saad (Eds.); MIT Press, Cambridge, MA, 2001, 300pp. ISBN 0-262-15054-9.
Neurocomputing, 2002

The Real World Software Process.
Proceedings of the 9th Asia-Pacific Software Engineering Conference (APSEC 2002), 2002

The Java Metrics Reporter- An Extensible Tool for 00 Software Analysis.
Proceedings of the 9th Asia-Pacific Software Engineering Conference (APSEC 2002), 2002

2001
Recruitment Learning Of Boolean Functions In Sparse Random Networks.
Int. J. Neural Syst., 2001

1998
Selective Attention and the Acquisition of Spatial Semantics.
Proceedings of the Joint Conference on New Methods in Language Processing and Computational Natural Language Learning, 1998

1997
Australian Approaches to Internet Content Regulation.
Aust. Comput. J., 1997

1993
A chosen plaintext attack on an adaptive arithmetic coding compression algorithm.
Comput. Secur., 1993

1992
Data security in a fixed-model arithmetic coding compression algorithm.
Comput. Secur., 1992


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