James M. Hogan

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 18

Top Venues

ADCS

ICCS

OZCHI

eScience

Queensland University of Technology, Brisbane, Australia (PHD)

Education History

Queensland University of Technology, Brisbane, Australia

PHD

Publications

Dhananjay Kimothi, Pravesh Biyani, James M. Hogan, Melissa J. Davis
Sequence Representations and Their Utility for Predicting Protein-Protein Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Markus Rittenbruch, Kellie Vella, Margot Brereton, James M. Hogan, Daniel Johnson, Julian Heinrich, Seán I. O'Donoghue
Collaborative Sense-Making in Genomic Research: The Role of Visualisation. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Sarah Pilz, Florian Porrmann, Martin Kaiser, Jens Hagemeyer, James M. Hogan, Ulrich Rückert
Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs. Algorithms 13 (2) (2020)
Guillaume Bernard, Cheong Xin Chan, Yao-ban Chan, Xin-Yi Chua, Yingnan Cong, James M. Hogan, Stefan R. Maetschke, Mark A. Ragan
Alignment-free inference of hierarchical and reticulate phylogenomic relationships. Briefings Bioinform. 20 (2) (2019)
Timothy Chappell, Shlomo Geva, James M. Hogan, Flavia Huygens, Irani U. Rathnayake, Stephen Rudd, Wayne Kelly, Dimitri Perrin
Rapid analysis of metagenomic data using signature-based clustering. BMC Bioinform. (20) (2018)
Lawrence Buckingham, Shlomo Geva, James M. Hogan
Protein database search using compressed k-mer vocabularies. ADCS (2018)
Timothy Chappell, Shlomo Geva, James M. Hogan, Dimitri Perrin
Rapid hierarchical clustering of biological sequences. ADCS (2018)
Timothy Chappell, Shlomo Geva, James M. Hogan
K-Means Clustering of Biological Sequences. ADCS (2017)
Dhananjay Kimothi, Ankita Shukla, Pravesh Biyani, Saket Anand, James M. Hogan
Metric learning on biological sequence embeddings. SPAWC (2017)
Lawrence Buckingham, Timothy Chappell, James M. Hogan, Shlomo Geva
Similarity Projection: A Geometric Measure for Comparison of Biological Sequences. eScience (2017)
Timothy Chappell, Shlomo Geva, James M. Hogan, Flavia Huygens, Wayne Kelly, Dimitri Perrin
Signature-based clustering for analysis of the wound microbiome. BIBM (2017)
Dhananjay Kimothi, Akshay Soni, Pravesh Biyani, James M. Hogan
Distributed Representations for Biological Sequence Analysis. CoRR (2016)
Holly Hutson, Daniel M. Johnson, Xin-Yi Chua, James M. Hogan, Margot Brereton, Markus Rittenbruch, Benedetta Frida Baldi, Seán I. O'Donoghue
Can Videogame Players Inform Better Scientific Visualization'. CHI PLAY (Companion) (2016)
Julian Heinrich, Jenny Vuong, Christopher J. Hammang, A. Wu, Markus Rittenbruch, James M. Hogan, Margot Brereton, Seán I. O'Donoghue
Evaluating Viewpoint Entropy for Ribbon Representation of Protein Structure. Comput. Graph. Forum 35 (3) (2016)
Zachary Fitz-Walter, Seán I. O'Donoghue, Benedetta Frida Baldi, James M. Hogan, Daniel M. Johnson, Margot Brereton
Using videogames to improve molecular graphics tools. OZCHI (2016)
Samuel A. Brian, Richard N. Thomas, James M. Hogan, Colin J. Fidge
Planting Bugs: A System for Testing Students' Unit Tests. ITiCSE (2015)
Samuel Thomas Smith, James M. Hogan, Markus Rittenbruch, Daniel M. Johnson, Margot Brereton
Visual Analytics for Large-Scale Bioinformatic Data Sets. OZCHI (2015)
Xin-Yi Chua, Lawrence Buckingham, James M. Hogan, Pavel S. Novichkov
Large Scale Comparative Visualisation of Regulatory Networks with TRNDiff. ICCS (2015)
Lawrence Buckingham, James M. Hogan
Computational Science for Undergraduate Biologists via QUT.Bio.Excel. ICCS (2014)
Lawrence Buckingham, James M. Hogan, Shlomo Geva, Wayne Kelly
Locality-Sensitive Hashing for Protein Classification. AusDM (2014)
James M. Hogan, Timothy Peut
Large Scale Read Classification forNext Generation Sequencing. ICCS (2014)
Jaspar Cahill, James M. Hogan, Richard N. Thomas
Predicting Fault-Prone Software Modules with Rank Sum Classification. Australian Software Engineering Conference (2013)
James M. Hogan, Wayne Kelly, Felicity Newell
Consensus Sigma-70 Promoter Prediction Using Hadoop. e-Science (2013)
James M. Hogan, Jiro Sumitomo, Paul Roe, Felicity Newell
Biomashups: the new world of exploratory bioinformatics? Concurr. Comput. Pract. Exp. 23 (11) (2011)
Michael W. Towsey, Peter Timms, James M. Hogan, Sarah A. Mathews
The cross-species prediction of bacterial promoters using a support vector machine. Comput. Biol. Chem. 32 (5) (2008)
Lawrence Buckingham, James M. Hogan, Paul Roe, Jiro Sumitomo, Michael W. Towsey
Comparative Studies Simplified in GPFlow. ICCS (3) (2008)
Lawrence Buckingham, James M. Hogan, Paul Roe, Jiro Sumitomo, Michael W. Towsey
Comparative Studies Made Simple in GPFlow. CCGRID (2008)
Jiro Sumitomo, James M. Hogan, Felicity Newell, Paul Roe
BioMashups: The New World of Exploratory Bioinformatics? eScience (2008)
Michael W. Towsey, James J. Gordon, James M. Hogan
The Prediction of Bacterial Transcription Start Sites Using Svms. Int. J. Neural Syst. 16 (5) (2006)
James J. Gordon, Michael W. Towsey, James M. Hogan, Sarah A. Mathews, Peter Timms
Improved prediction of bacterial transcription start sites. Bioinform. 22 (2) (2006)
James M. Hogan, Glenn Smith, Richard N. Thomas
Tight Spirals and Industry Clients: The Modern SE Education Experience. ACE (2005)
James M. Hogan, Richard N. Thomas
Developing the Software Engineering Team. ACE (2005)
Andrew Marrington, James M. Hogan, Richard N. Thomas
Quality Assurance in a Student-Based Agile Software Engineering Process. Australian Software Engineering Conference (2005)
Tony R. Sahama, Chris Ho-Stuart, James M. Hogan
Developing and Delivering a Software Internationalisation Subject. ACSW (2004)
James M. Hogan, Chris Ho-Stuart, Bihn Pham
Key Challenges in Software Internationalisation. ACSW (2004)
James M. Hogan, Glenn Smith, Richard N. Thomas
The Real World Software Process. APSEC (2002)
Jaspar Cahill, James M. Hogan, Richard N. Thomas
The Java Metrics Reporter- An Extensible Tool for 00 Software Analysis. APSEC (2002)
James M. Hogan
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 48 (1-4) (2002)
James M. Hogan, Joachim Diederich
Recruitment Learning Of Boolean Functions In Sparse Random Networks. Int. J. Neural Syst. 11 (6) (2001)
James M. Hogan, Joachim Diederich, Gerard D. Finn
Selective Attention and the Acquisition of Spatial Semantics. CoNLL (1998)
James M. Hogan, Peter C. J. James
Australian Approaches to Internet Content Regulation. Aust. Comput. J. 29 (1) (1997)
Helen A. Bergen, James M. Hogan
A chosen plaintext attack on an adaptive arithmetic coding compression algorithm. Comput. Secur. 12 (2) (1993)
Helen A. Bergen, James M. Hogan
Data security in a fixed-model arithmetic coding compression algorithm. Comput. Secur. 11 (5) (1992)

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Publication Activity (10 Years)

Top Topics

Top Venues

James M. Hogan