Browse By Person: Hogan, James
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Number of items: 43.
Hogan, James (2002) Recruitment Learning in Randomly Connected Neural Networks: A Study in the Foundations of Connectionism. dissertation.de - Verlag im Internet GmbH, Berlin, Germany.
Diederich, Joachim, Hogan, James M., & Gunay, C (2010) Conclusion. In Recruitment Learning. Springer, Germany, pp. 275-281.
Hogan, James, Smith, Glenn, & Thomas, Richard (2006) RWSP: Industry-Based Projects and Modern Software Engineering Practice for Large Classes. In Bruce, C, Mohay, G, Smith, G, Stoodley, I, & Tweedale, R (Eds.) Transforming IT Education: Promoting a Culture of Excellence. Informing Science Press, United States of America, California, pp. 163-177.
Hogan, James M. & Thomas, Richard N. (2006) Working Together : Building Effective Software Engineering Team. In Bruce, Christine, Mohay, Bruce, Smith, Glenn, Stoodley, Ian, & Tweedale, Robyn (Eds.) Transforming IT Education : Promoting a Culture of Excellence. Informing Science Press, California, USA, pp. 143-161.
Diederich, Joachim, Hogan, James, & Norris, Michael (2001) Classification of Facial Expressions with domain Gaussian RBF Networks. In Howlett, R & Jain, L (Eds.) Radial Bais Function Networks 2: New Advances In Design. Physica-Verlag, Heidelberg, Germany, pp. 143-164.
Chan, Cheong Xin, Bernard, Guillaume, Poirion, Olivier, Hogan, James M., & Ragan, Mark A. (2014) Inferring phylogenies of evolving sequences without multiple sequence alignment. Scientific Reports, 4, e6504:1-e6504:9.
Hogan, James M. & Peut, Timothy (2014) Large scale read classification for next generation sequencing. Procedia Computer Science, 29, pp. 2003-2012.
Hogan, Jim, Sumitomo, Jiro, Roe, Paul, & Newell, Felicity (2010) Biomashups: the new world of exploratory bioinformatics? Concurrency and Computation: Practice and Experience, 23(11), pp. 1169-1178.
Towsey, Michael W., Timms, Peter, Hogan, James M., & Mathews, Sarah A. (2008) The cross-species prediction of bacterial promoters using a support vector machine. Computational Biology and Chemistry, 32(5), pp. 359-366.
Towsey, Michael W., Gordon, James J., & Hogan, James M. (2006) The Prediction of Bacterial Transcription Start Sites using Support Vector Machines. International Journal of Neural Systems, 16(5), pp. 363-370.
Gordon, John J., Towsey, Michael W., Hogan, James M., Mathews, Sarah A., & Timms, Peter (2006) Improved prediction of bacterial transcription start sites. Bioinformatics, 22(2), pp. 142-148.
Frimannsson, Asgeir & Hogan, James M. (2005) Adopting Standards Based XML file formats in Open Source Localisation. Localisation Focus – The International Journal of Localisation, 4, pp. 9-23.
Hogan, James M. & Diederich, Joachim (2001) Recruitment Learning of Boolean Functions in Sparse Random Networks. International Journal of Neural Systems, 11(6), pp. 537-559.
Heinrich, J., Vuong, Jenny, Hammang, Chris, Wu, A., Rittenbruch, Markus, Hogan, James, et al. (2016) Evaluating viewpoint entropy for ribbon representation of protein structure. In Ma, K.L., Santucci, G., & Van Wijk, J.J. (Eds.) Proceedings of the 37th Annual Conference of the European Association for Computer Graphics, The Eurographics Association and John Wiley & Sons Ltd., Lisbon, Portugal.
Smith, Samuel, Hogan, James, Rittenbruch, Markus, Johnson, Daniel, & Brereton, Margot (2015) Visual analytics for large-scale bioinformatic data sets. In 27th Australian Conference on Human-Computer Interaction (OZCHI 2015), 7-10 December 2015, Melbourne, Vic.
Buckingham, Lawrence, Hogan, James M., Geva, Shlomo, & Kelly, Wayne (2014) Locality-sensitive hashing for protein classification. In Nayak, Richi, Li, Xue, Liu, Lin, Ong, Kok-Leong, Zhao, Yanchang, & Kennedy, Paul (Eds.) Conferences in Research and Practice in Information Technology, Australian Computer Society, Inc, Queensland University of Technology, Gardens Point Campus, Brisbane, Australia. (In Press)
Buckingham, Lawrence & Hogan, James M. (2014) Computational science for undergraduate biologists via QUT.Bio.Excel. In Abramson, David, Lees, Michael, Krzhizhanovskaya, Valeria, Dongarra, Jack, & Sloot, Peter M.A. (Eds.) Procedia Computer Science, Elsevier, Cairns, QLD, pp. 1403-1412.
Hogan, James M., Holland, Peter, Holloway, Alexander P., Petit, Robert A., & Read, Timothy D. (2013) Read classification for next generation sequencing. In ESANN 2013 proceedings : European Symposium on Artificial Neural Networks, Computational Intelligence, The European Symposium on Artificial Neural Networks, Bruges, Belgium, pp. 485-490.
Hogan, James M., Kelly, Wayne A., & Newell, Felicity S. (2013) Consensus σ70 promoter prediction using hadoop. In Proceedings of the 2013 IEEE 9th International Conference on e-Science, IEEE, 22 - 25 October 2013, pp. 35-44.
Cahill, Jaspar, Hogan, James M., & Thomas, Richard (2013) Predicting fault-prone software modules with rank sum classification. In Schneider, Jean-Guy & Grant, Doug (Eds.) Proceedings of the 22nd Australian Conference on Software Engineering (ASWEC 2013), IEEE, Melbourne, Victoria, Australia, pp. 211-219.
Fidge, Colin J., Hogan, James M., & Lister, Raymond (2013) What vs how : comparing students' testing and coding skills. In Carbone, Angela & Whalley, Jacqueline (Eds.) Proceedings of the Fifteenth Australasian Computing Education Conference (ACE2013),, Australian Computer Society in the Conferences in Research and Practice in Information Technology (CRPIT), Adelaide, South Australia, pp. 97-106.
Lister, Raymond, Corney, Malcolm W., Curran, James, D'Souza, Daryl, Fidge, Colin J., Gluga, Richard, et al. (2012) Toward a shared understanding of competency in programming : an invitation to the BABELnot Project. In de Raadt, Michael & Carbone, Angela (Eds.) Proceedings of the 14th Australasian Computing Education Conference (ACE2012), Australian Computer Society, RMIT University, Melbourne.
Liang, Huizhi, Hogan, Jim, & Xu, Yue (2010) Parallel user profiling based on folksonomy for Large Scaled Recommender Systems : an implimentation of Cascading MapReduce. In Proceedings of 10th Industrial Conference on Data Mining, IEEE, Berlin.
Buckingham, Lawrence I. & Hogan, James M. (2010) Blast atlas: a virtual observatory for genomes. In 2010 Sixth IEEE International Conference on e-Science Workshops, IEEE Computer Society, Brisbane, QLD, Australia, pp. 57-64.
Buckingham, Lawrence, Hogan, James, Mann, Scott, & Wirges, Sally (2010) BLAST Atlas : a function based multiple genome browser. In Microsoft eScience Workshop 2010, 10-13 October 2010, Berkeley, California.
Buckingham, Lawrence, Hogan, James M., Roe, Paul, Sumitomo, Jiro, & Towsey, Michael (2008) Comparative studies made simple in GPFlow. In Priol, Thierry, Lefevre, Laurent, & Buyya, Rajkumar (Eds.) Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGRID'08), IEEE, Lyon, France, p. 699.
Buckingham, Lawrence, Hogan, Jim, Roe, Paul, Sumitomo, Jiro, & Towsey, Michael (2008) Comparative studies simplified in GPFlow. In Bubak, M, van Albada, G, Dongarra, J, & Sloot, P (Eds.) Proceedings of the 8th International Conference - Computational Science (ICCS 2008), 23 - 25 June 2008, Poland, Krakow.
Towsey, Michael W., Hogan, James M., Mathews, Sarah A., & Timms, Peter (2007) The In Silico Prediction of Promoters in Bacterial Genomes. In Ng, See-Kiong, Mamitsuka, Hiroshi, & Wong, Limsoon (Eds.) Genome Informatics Workshop 2007, 3rd - 5th December 2007, Singapore.
Maetschke, Stefan R., Towsey, Michael W., & Hogan, James M. (2006) Bacterial promoter modelling and prediction for E. coli and B. subtilis with Beagle. In Workshop on Intelligent Systems for Bioinformatics (WISB-2006), 4th December 2006, Hobart, Tasmania.
Hogan, James & Thomas, Richard (2005) Developing the Software Engineering Team. In Young, A & Tolhurst, D (Eds.) Australasian Computing Education: Proceedings of ACE2005, January 2005, Australia, New South Wales, Newcastle.
Hogan, James, Marrington, Andrew, & Thomas, Richard (2005) Quality Assurance in a Student-Based Agile Software Engineering Process. In Stropper, P (Ed.) Proceedings of the 2005 Australian Software Engineering Conference: ASWEC 2005, 29 March - 1 April 2005, Australia, Queensland, Brisbane.
Sahama, Tony, Ho-Stuart, Chris, & Hogan, James M. (2004) Developing and delivering a software internationalisation subject. In Hogan, J., Montague, P., Purvis, M., & Steketee, C. (Eds.) ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation, Australian Computer Society, Inc, Dunedin, New Zealand, pp. 199-204.
Hogan, James, Ho-Stuart, Christopher, & Pham, Binh (2004) Key Challenges in Software Internationalisation. In Hogan, J, Montague, P, Purvis, M, & Steketee, C (Eds.) ACSW Frontiers 2004 - Proceedings of the Australasian Workshop on Software Internationalisation (AWSI2004), January 2004, Dunedin, New Zealand.
Cahill, Jaspar, Hogan, James, & Thomas, Richard (2002) The Java Metrics Reporter - An Extensible Tool for OO Software Analysis. In Strooper, P & Muenchaisri, P (Eds.) Proceedings Ninth Asia-Pacific Software Engineering Conference, 4-6 December 2002, Gold Coast, Queensland.
Hogan, James M., Smith, Glenn P., & Thomas, Richard N. (2002) The Real World Software Process. In Asia-Pacific Software Engineering Conference (APSEC 2002), 4-6 December 2002, Piscataway, USA.
Diederich, Joachim & Hogan, James (2001) Encoding of Spatial Relations Semantics through Selective Attention. In Proceedings of the 2001 Australasian Natural Language Processing Workshop, 20 April 2001.
Toh, Samuel Yu, Buckingham, Lawrence, Hogan, James M., Maetschke, Stefan R., & Towsey, Michael W. (2010) BioPatML.NET – a bioinformatic pattern search engine. In 4th eResearch Australasia Conference, 8-12 November 2010, Royal Pines Resort, Gold Coast, QLD. (Unpublished)
Maetschke, Stefan, Towsey, Michael W., & Hogan, James M. (2008) BioPatML : pattern sharing for the genomic sciences. In 2008 Microsoft eScience Workshop, 7-9 December 2008., University Place Conference Center & Hotel, Indianapolis. (Unpublished)
Maetschke, Stefan, Towsey, Michael W., & Hogan, James M. (2007) BioPatML - an XML description language for patterns in biological sequences. (Unpublished)
Hogan, James M (2000) Recruitment learning in randomly connected neural netwworks. PhD thesis, Queensland University of Technology.
Hogan, James M. & Peut, Timothy (2014) Supplementary material : large scale read classification for next generation sequencing. International Conference on Computational Science. (In Press)
Bowles, Christopher J. & Hogan, James M. (2014) Supplementary information : weighted tree kernels for sequence analysis. Proceedings of ESANN 2014. (In Press)