James M. Hogan

47 papers B 4C 5Misc 9Journal 16Unranked 10

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Sequence Representations and Their Utility for Predicting Protein-Protein Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. Dhananjay Kimothi, Pravesh Biyani, James M. Hogan, Melissa J. Davis
2022	J	`jnl`	Collaborative Sense-Making in Genomic Research: The Role of Visualisation. IEEE Trans. Vis. Comput. Graph. Markus Rittenbruch, Kellie Vella, Margot Brereton, James M. Hogan, Daniel Johnson, Julian Heinrich, Seán I. O'Donoghue
2020	J	`jnl`	Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs. Algorithms Sarah Pilz, Florian Porrmann, Martin Kaiser, Jens Hagemeyer, James M. Hogan, Ulrich Rückert
2019	J	`jnl`	Alignment-free inference of hierarchical and reticulate phylogenomic relationships. Briefings Bioinform. Guillaume Bernard, Cheong Xin Chan, Yao-ban Chan, Xin-Yi Chua, Yingnan Cong, James M. Hogan, Stefan R. Maetschke, Mark A. Ragan
2018	Misc	`conf`	Protein database search using compressed k-mer vocabularies. ADCS Lawrence Buckingham, Shlomo Geva, James M. Hogan
2018	J	`jnl`	Rapid analysis of metagenomic data using signature-based clustering. BMC Bioinform. Timothy Chappell, Shlomo Geva, James M. Hogan, Flavia Huygens, Irani U. Rathnayake, Stephen Rudd, Wayne Kelly, Dimitri Perrin
2018	Misc	`conf`	Rapid hierarchical clustering of biological sequences. ADCS Timothy Chappell, Shlomo Geva, James M. Hogan, Dimitri Perrin
2017	Misc	`conf`	K-Means Clustering of Biological Sequences. ADCS Timothy Chappell, Shlomo Geva, James M. Hogan
2017	—	`conf`	Metric learning on biological sequence embeddings. SPAWC Dhananjay Kimothi, Ankita Shukla, Pravesh Biyani, Saket Anand, James M. Hogan
2017	—	`conf`	Signature-based clustering for analysis of the wound microbiome. BIBM Timothy Chappell, Shlomo Geva, James M. Hogan, Flavia Huygens, Wayne Kelly, Dimitri Perrin
2017	—	`conf`	Similarity Projection: A Geometric Measure for Comparison of Biological Sequences. eScience Lawrence Buckingham, Timothy Chappell, James M. Hogan, Shlomo Geva
2016	—	`conf`	Can Videogame Players Inform Better Scientific Visualization'. CHI PLAY (Companion) Holly Hutson, Daniel M. Johnson, Xin-Yi Chua, James M. Hogan, Margot Brereton, Markus Rittenbruch, Benedetta Frida Baldi, Seán I. O'Donoghue
2016	J	`jnl`	Distributed Representations for Biological Sequence Analysis. CoRR Dhananjay Kimothi, Akshay Soni, Pravesh Biyani, James M. Hogan
2016	J	`jnl`	Evaluating Viewpoint Entropy for Ribbon Representation of Protein Structure. Comput. Graph. Forum Julian Heinrich, Jenny Vuong, Christopher J. Hammang, A. Wu, Markus Rittenbruch, James M. Hogan, Margot Brereton, Seán I. O'Donoghue
2016	Misc	`conf`	Using videogames to improve molecular graphics tools. OZCHI Zachary Fitz-Walter, Seán I. O'Donoghue, Benedetta Frida Baldi, James M. Hogan, Daniel M. Johnson, Margot Brereton
2015	Misc	`conf`	Large Scale Comparative Visualisation of Regulatory Networks with TRNDiff. ICCS Xin-Yi Chua, Lawrence Buckingham, James M. Hogan, Pavel S. Novichkov
2015	B	`conf`	Planting Bugs: A System for Testing Students' Unit Tests. ITiCSE Samuel A. Brian, Richard N. Thomas, James M. Hogan, Colin J. Fidge
2015	Misc	`conf`	Visual Analytics for Large-Scale Bioinformatic Data Sets. OZCHI Samuel Thomas Smith, James M. Hogan, Markus Rittenbruch, Daniel M. Johnson, Margot Brereton
2014	Misc	`conf`	Computational Science for Undergraduate Biologists via QUT.Bio.Excel. ICCS Lawrence Buckingham, James M. Hogan
2014	Misc	`conf`	Large Scale Read Classification forNext Generation Sequencing. ICCS James M. Hogan, Timothy Peut
2014	Misc	`conf`	Locality-Sensitive Hashing for Protein Classification. AusDM Lawrence Buckingham, James M. Hogan, Shlomo Geva, Wayne Kelly
2013	B	`conf`	Consensus Sigma-70 Promoter Prediction Using Hadoop. e-Science James M. Hogan, Wayne Kelly, Felicity Newell
2013	—	`conf`	Predicting Fault-Prone Software Modules with Rank Sum Classification. Australian Software Engineering Conference Jaspar Cahill, James M. Hogan, Richard N. Thomas
2011	J	`jnl`	Biomashups: the new world of exploratory bioinformatics? Concurr. Comput. Pract. Exp. James M. Hogan, Jiro Sumitomo, Paul Roe, Felicity Newell
2011	—	`book`	Recruitment Learning Joachim Diederich, Cengiz Günay, James M. Hogan
2008	—	`conf`	BioMashups: The New World of Exploratory Bioinformatics? eScience Jiro Sumitomo, James M. Hogan, Felicity Newell, Paul Roe
2008	B	`conf`	Comparative Studies Made Simple in GPFlow. CCGRID Lawrence Buckingham, James M. Hogan, Paul Roe, Jiro Sumitomo, Michael W. Towsey
2008	—	`conf`	Comparative Studies Simplified in GPFlow. ICCS (3) Lawrence Buckingham, James M. Hogan, Paul Roe, Jiro Sumitomo, Michael W. Towsey
2008	J	`jnl`	The cross-species prediction of bacterial promoters using a support vector machine. Comput. Biol. Chem. Michael W. Towsey, Peter Timms, James M. Hogan, Sarah A. Mathews
2006	J	`jnl`	Improved prediction of bacterial transcription start sites. Bioinform. James J. Gordon, Michael W. Towsey, James M. Hogan, Sarah A. Mathews, Peter Timms
2006	J	`jnl`	The Prediction of Bacterial Transcription Start Sites Using Svms. Int. J. Neural Syst. Michael W. Towsey, James J. Gordon, James M. Hogan
2005	C	`conf`	Developing the Software Engineering Team. ACE James M. Hogan, Richard N. Thomas
2005	C	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings IDEAL Marcus Gallagher, James M. Hogan, Frédéric Maire
2005	—	`conf`	Quality Assurance in a Student-Based Agile Software Engineering Process. Australian Software Engineering Conference Andrew Marrington, James M. Hogan, Richard N. Thomas
2005	C	`conf`	Tight Spirals and Industry Clients: The Modern SE Education Experience. ACE James M. Hogan, Glenn Smith, Richard N. Thomas
2004	—	`ed.`	ACSW Frontiers 2004, 2004 ACSW Workshops - the Australasian Information Security Workshop (AISW2004), the Australasian Workshop on Data Mining and Web Intelligence (DMWI2004), and the Australasian Workshop on Software Internationalisation (AWSI2004) . Dunedin, New Zealand, January 2004 ACSW James M. Hogan, Paul Montague, Martin K. Purvis, Chris Steketee
2004	—	`conf`	Developing and Delivering a Software Internationalisation Subject. ACSW Tony R. Sahama, Chris Ho-Stuart, James M. Hogan
2004	—	`conf`	Key Challenges in Software Internationalisation. ACSW James M. Hogan, Chris Ho-Stuart, Bihn Pham
2002	J	`jnl`	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 James M. Hogan
2002	—	`—`	Recruitment learning in randomly connected neural networks. James M. Hogan
2002	C	`conf`	The Java Metrics Reporter- An Extensible Tool for 00 Software Analysis. APSEC Jaspar Cahill, James M. Hogan, Richard N. Thomas
2002	C	`conf`	The Real World Software Process. APSEC James M. Hogan, Glenn Smith, Richard N. Thomas
2001	J	`jnl`	Recruitment Learning Of Boolean Functions In Sparse Random Networks. Int. J. Neural Syst. James M. Hogan, Joachim Diederich
1998	B	`conf`	Selective Attention and the Acquisition of Spatial Semantics. CoNLL James M. Hogan, Joachim Diederich, Gerard D. Finn
1997	J	`jnl`	Australian Approaches to Internet Content Regulation. Aust. Comput. J. James M. Hogan, Peter C. J. James
1993	J	`jnl`	A chosen plaintext attack on an adaptive arithmetic coding compression algorithm. Comput. Secur. Helen A. Bergen, James M. Hogan
1992	J	`jnl`	Data security in a fixed-model arithmetic coding compression algorithm. Comput. Secur. Helen A. Bergen, James M. Hogan