Associate Professor Laurence Park

Associate Professor Laurence Park

Associate Dean, Learning and Teaching,
Dean's Unit, Computer, Data & Math Sciences

Associate Professor,
Data Science

Biography

Laurence Park received the BE (Hons.) and BSc degrees from the University of Melbourne, Australia in 2000, and the PhD degree from the University of Melbourne in 2004. He joined the Computer Science department at The University of Melbourne as a Research Fellow in 2004, and was promoted to Senior Research Fellow in 2008. Laurence joined the School of  Computing and Mathematics at the University of Western Sydney as a Lecturer in Computational Mathematics and Statistics in 2009, where he is currently investigating methods of large scale data mining and machine learning.

This information has been contributed by Associate Professor Park.

Qualifications

  • PhD University of Melbourne
  • BEng University of Melbourne
  • BSc University of Melbourne

Interests

  • Data Mining
  • Information Retrieval
  • Machine Learning

Organisational Unit (School / Division)

  • Dean's Unit, Computer, Data & Math Sciences
  • Data Science

Contact

Email: L.Park@westernsydney.edu.au
Phone: (02) 9685 9065
Mobile:
Location: EN.1.32
Parramatta

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Publications

Chapters in Books

  • Park, L., Ganji, M., Demirovic, E., Chan, J., Stuckey, P., Bailey, J., Leckie, C. and Ramamohanarao, K. (2022), 'Modelling zeros in blockmodelling', Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II, Springer 9783031059353.

Journal Articles

  • East, J., Hendriksen, M. and Park, L. (2023), 'On the enumeration of integer tetrahedra', Computational Geometry: Theory and Applications, vol 108 .
  • Luken, K., Norris, R., Wang, X., Park, L., Guo, Y. and Filipovic, M. (2023), 'Measuring photometric redshifts for high-redshift radio source surveys', Publications of the Astronomical Society of Australia, vol 40 .
  • Barnett, A., Cheng, C., Horasan, M., He, Y. and Park, L. (2022), 'Fire load density distribution in school buildings and statistical modelling', Fire Technology, vol 58, no 1 , pp 503 - 521.
  • Luken, K., Norris, R., Park, L., Wang, X. and Filipovic, M. (2022), 'Estimating galaxy redshift in radio-selected datasets using machine learning', Astronomy and Computing, vol 39 .
  • Ahlip, R., Park, L., Prodan, A. and Weissenhofer, S. (2021), 'Forward start options under Heston affine jump-diffusions and stochastic interest rate', International Journal of Financial Engineering, vol 8, no 1 .
  • Norris, R., Intema, H., Kapinska, A., Koribalski, B., Lenc, E., Rudnick, L., Alsaberi, R., Anderson, C., Anderson, G., Crawford, E., Crocker, R., English, J., Filipovic, M., Galvin, T., Hopkins, A., Hurley-Walker, N., Inoue, S., Luken, K., Macgregor, P., Manojlovic, P., Marvil, J., O'Brien, A., Park, L., Raja, W., Shobhana, D., Venturi, T., Collier, J., Hale, C., Hotan, A., Moss, V. and Whiting, M. (2021), 'Unexpected circular radio objects at high Galactic latitude', Publications of the Astronomical Society of Australia, vol 38 .
  • Yew, M., Filipovic, M., Stupar, M., Points, S., Sasaki, M., Maggi, P., Haberl, F., Kavanagh, P., Parker, Q., Crawford, E., Vukotic, B., Uro?evic, D., Sano, H., Seitenzahl, I., Rowell, G., Leahy, D., Bozzetto, L., Maitra, C., Leverenz, H., Payne, J., Park, L., Alsaberi, R. and Pannuti, T. (2021), 'New optically identified supernova remnants in the Large Magellanic Cloud', Monthly Notices of the Royal Astronomical Society, vol 500, no 2 , pp 2336 - 2358.
  • Filipovic, M., Bojicic, I., Grieve, K., Norris, R., Tothill, N., Shobhana, D., Rudnick, L., Prandoni, I., Andernach, H., Hurley-Walker, N., Alsaberi, R., Anderson, C., Collier, J., Crawford, E., For, B., Galvin, T., Haberl, F., Hopkins, A., Ingallinera, A., Kavanagh, P., Koribalski, B., Kothes, R., Leahy, D., Leverenz, H., Maggi, P., Maitra, C., Marvil, J., Pannutti, T., Park, L., Payne, J., Pennock, C., Riggi, S., Rowell, G., Sano, H., Sasaki, M., Staveley-Smith, L., Trigilio, C., Umana, G., Urosevic, D., Van Loon, J. and Vardoulaki, E. (2021), 'Radio continuum sources behind the Large Magellanic Cloud', Monthly Notices of the Royal Astronomical Society, vol 507, no 2 , pp 2885 - 2904.
  • Park, L., Scott, D. and Lovell, R. (2019), 'Velocity zone classification in elite women's football : where do we draw the lines?', Science and Medicine in Football, vol 3, no 1 , pp 21 - 28.
  • Lovell, R., Scott, D. and Park, L. (2019), 'Soccer velocity thresholds : do we really know what's best?', Science and Medicine in Football, vol 3, no 1 , pp 85 - 86.
  • Luken, K., Norris, R. and Park, L. (2019), 'Preliminary results of using k-nearest-neighbor regression to estimate the redshift of radio-selected data sets', Publications of the Astronomical Society of the Pacific, vol 131, no 1004 .
  • Ralph, N., Norris, R., Fang, G., Park, L., Galvin, T., Alger, M., Andernach, H., Lintott, C., Rudnick, L., Shabala, S. and Wong, O. (2019), 'Radio Galaxy Zoo : unsupervised clustering of convolutionally auto-encoded radio-astronomical images', Publications of the Astronomical Society of the Pacific, vol 131, no 1004 .
  • Ahlip, R., Park, L. and Prodan, A. (2018), 'Semi-analytical option pricing under double Heston jump-diffusion hybrid model', Journal of Mathematical Sciences and Modelling, vol 1, no 3 , pp 138 - 152.
  • Roper, Q., Filipovic, M., Allen, G., Sano, H., Park, L., Pannuti, T., Sasaki, M., Haberl, F., Kavanagh, P., Yamane, Y., Yoshiike, S., Fujii, K., Fukui, Y. and Seitenzahl, I. (2018), 'An X-ray expansion and proper motion study of the Magellanic Cloud supernova remnant J0509-6731 with the Chandra X-ray observatory', Monthly Notices of the Royal Astronomical Society, vol 479, no 2 , pp 1800 - 1806.
  • He, Y. and Park, L. (2017), 'A statistical analysis of occurrence and association between structural fire hazards in heritage housing', Fire Safety Journal, vol 90 , pp 169 - 180.
  • Ahlip, R., Park, L. and Prodan, A. (2017), 'Pricing currency options in the Heston/CIR double exponential jump-diffusion model', International Journal of Financial Engineering, vol 4, no 1 .
  • Park, L., Bezdek, J., Leckie, C., Ramamohanarao, K., Bailey, J. and Palaniswami, M. (2016), 'Visual assessment of clustering tendency for incomplete data', IEEE Transactions on Knowledge and Data Engineering, vol 28, no 12 , pp 3409 - 3422.
  • Nguyen, U., Bhuiyan, A., Park, L. and Ramamohanarao, K. (2013), 'An effective retinal blood vessel segmentation method using multi-scale line detection', Pattern Recognition, vol 46, no 3 , pp 703 - 715.
  • Nguyen, U., Bhuiyan, A., Park, L., Kawasaki, R., Wong, T., Wang, J., Mitchell, P. and Ramamohanarao, K. (2013), 'An automated method for retinal arteriovenous nicking quantification from color fundus images', IEEE Transactions on Biomedical Engineering, vol 60, no 11 , pp 3194 - 3203.
  • Nguyen, U., Ramamohanarao, K., Park, L., Wang, L. and Bhuiyan, A. (2012), 'A quantitative measure for retinal blood vessel segmentation evaluation', International Journal of Computer Vision and Signal Processing, vol 1, no 1 , pp 1 - 8.
  • Aouf, M. and Park, L. (2012), 'Approximate document outlier detection using random spectral projection', Lecture Notes in Computer Science, vol 7691 , pp 579 - 590.
  • Moshtaghi, M., Havens, T., Bezdek, J., Park, L., Leckie, C., Rajasegarar, S., Keller, J. and Palaniswami, M. (2011), 'Clustering ellipses for anomaly detection', Pattern Recognition, vol 44, no 1 , pp 55 - 69.
  • Park, L. and Ramamohanarao, K. (2011), 'Multiresolution Web link analysis using generalized link relations', IEEE Transactions on Knowledge and Data Engineering, vol 23, no 11 , pp 1691 - 1703.
  • Zhang, Y., Park, L. and Moffatt, A. (2010), 'Click-based evidence for decaying weight distributions in search effectiveness metrics', Information Retrieval, vol 13, no 1 , pp 46 - 69.
  • Park, L. and Ramamohanarao, K. (2009), 'An analysis of latent semantic term self-correlation', ACM Transactions on Information Systems, vol 27, no 2 .
  • Park, L. and Ramamohanarao, K. (2009), 'Efficient storage and retrieval of probabilistic latent semantic information for information retrieval', VLDB Journal, vol 18, no 1 , pp 141 - 155.
  • Nguyen, U., Park, L., Wang, L. and Ramamohanarao, K. (2009), 'A novel path-based clustering algorithm using multi-dimensional scaling', Lecture Notes in Computer Science, , pp 280 - 290.
  • Park, L., Ramamohanarao, K., Leckie, C. and Bezdek, J. (2009), 'Adapting spectral co-clustering to documents and terms using Latent Semantic Analysis', Lecture Notes in Computer Science, , pp 301 - 311.
  • Zobel, J., Moffat, A. and Park, L. (2009), 'Against recall : is it persistence, cardinality, density, coverage, or totality?', ACM SIGIR Forum, vol 43 , pp 3 - 15.
  • Park, L., Palaniswami, M. and Ramamohanarao, K. (2005), 'A novel document ranking method using the discrete cosine transform', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 27, no 1 , pp 130 - 135.
  • Park, L., Ramamohanarao, K. and Palaniswami, M. (2005), 'A novel document retrieval method using the discrete wavelet transform', ACM Transactions on Information Systems, vol 23, no 3 , pp 267 - 298.
  • Ramamohanarao, K. and Park, L. (2004), 'Spectral-based document retrieval', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 3321 , pp 407 - 417.
  • Park, L., Ramamohanarao, K. and Palaniswami, M. (2004), 'Fourier domain scoring: A novel document ranking method', IEEE Transactions on Knowledge and Data Engineering, vol 16, no 5 , pp 529 - 539.
  • Park, L., Palaniswami, M. and Ramamohanarao, K. (2001), 'Internet document filtering using Fourier domain scoring', Lecture Notes in Artificial Intelligence, , pp 362 - 373.

Conference Papers

  • Trescak, T., Park, L. and Kocyigit, M. (2023), 'JobIQ : recommending study pathways based on career choices', International Conference on Computer Supported Education, Prague, Czech Republic.
  • Park, L., Guo, Y. and Read, J. (2020), 'Assessing the multi-labelness of multi-label data', European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Wurzburg, Germany.
  • Shilton, A., Gupta, S., Rana, S., Vellanki, P., Park, L., Li, C., Venkatesh, S., Dorin, T., Sutti, A., Rubin, D., Slezak, T., Vahid, A. and Height, M. (2020), 'Accelerated Bayesian optimization through weight-prior tuning', International Conference on Artificial Intelligence and Statistics, Palermo, Italy.
  • Ganji, M., Chan, J., Stuckey, P., Bailey, J., Leckie, C., Ramamohanarao, K. and Park, L. (2019), 'Semi-supervised blockmodelling with pairwise guidance', ECML PKDD (Conference), Dublin, Ireland.
  • Park, L. and Read, J. (2018), 'A blended metric for multi-label optimisation and evaluation', European Conference on Machine Learning, Dublin, Ireland.
  • Guo, Y., Green, S., Park, L. and Rispen, L. (2018), 'Left ventricle volume measuring using echocardiography sequences', DICTA (Conference), Canberra, A.C.T..
  • Randeni Kadupitige, S., Matawie, K. and Park, L. (2017), 'An investigation into the use of document scores for optimisation over rank-biased precision', Asia Information Retrieval Societies Conference, Jeju Island, South Korea.
  • Park, L. and Stone, G. (2016), 'The effect on accuracy of tweet sample size for hashtag segmentation dictionary construction', Pacific-Asia Conference on Knowledge Discovery and Data Mining, Auckland, N.Z..
  • Ahlip, R., Park, L. and Prodan, A. (2016), 'Pricing currency options in the Heston/CIR double exponential jump-diffusion model', Portuguese Finance Network. Finance Conference, Covilh?, Portugal.
  • Park, L. (2016), 'Uncertainty in Rank-Biased Precision', Australasian Document Computing Symposium, Caulfield, Vic..
  • Park, L. and Simoff, S. (2015), 'Using entropy as a measure of acceptance for multi-label classification', International Symposium on Intelligent Data Analysis, Saint Etienne, France.
  • Park, L. and Stone, G. (2015), 'The effect of assessor coverage and assessor accuracy on rank aggregation precision', Australasian Document Computing Symposium, Sydney, N.S.W..
  • Park, L. and Stone, G. (2014), 'Inducing controlled error over variable length ranked lists', Pacific-Asia Conference on Knowledge Discovery and Data Mining, Tainan, Taiwan.
  • Park, L. and Simoff, S. (2014), 'Second order probabilistic models for Within-Document Novelty detection in academic articles', ACM SIGIR Conference on Research and Development in Information Retrieval, Gold Coast, Qld..
  • Park, L. and Stone, G. (2014), 'By the power of Grayskull : small sample statistical power in information retrieval evaluation', Australasian Document Computing Symposium, Melbourne, Vic..
  • Nguyen, U., Bhuiyan, A., Park, L., Kawasaki, R., Wong, T. and Ramamohanarao, K. (2013), 'Automatic detection of retinal vascular landmark features for colour fundus image matching and patient longitudinal study', International Conference on Image Processing, Melbourne, Vic..
  • Park, L. and Simoff, S. (2013), 'Power walk : revisiting the random surfer', Australasian Document Computing Symposium, Brisbane, Qld..
  • Nguyen, U., Bhuiyan, A., Park, L., Kawasaki, R., Wong, T., Wang, J., Mitchell, P. and Ramamohanarao, K. (2013), 'Automated quantification of retinal arteriovenous nicking from colour fundus images', IEEE Engineering in Medicine and Biology Society. Conference, Osaka, Japan.
  • Park, L. (2011), 'Bootstrap confidence intervals for mean average precision', Fourth ASEARC Conference, Parramatta.
  • Park, L. (2011), 'Fast approximate text document clustering using compressive sampling', ECML PKDD 2011, Athens, Greece.
  • Park, L. (2011), 'Examining document model residuals to provide feedback during information retrieval evaluation', The Sixteenth Australasian Document Computing Symposium, ANU, Canberra.
  • Nguyen, U., Bhuiyan, A., Ramamohanarao, K. and Park, L. (2011), 'An effective supervised framework for retinal blood vessel segmentation using local standardisation and bagging', MLMI (Workshop), Toronto, Ont..
  • Park, L. (2010), 'Confidence intervals for information retrieval evaluation', Fifteenth Australasian Document Computing Symposium, Melbourne.
  • Bezdek, J., Havens, T., Keller, J., Leckie, C., Park, L., Palani, M. and Rajasegarar, S. (2010), 'Clustering elliptical anomalies in sensor networks', Conference on Fuzzy Systems (FUZZ-IEEE), Barcelona.
  • Webber, W. and Park, L. (2009), 'Score adjustment for correction of pooling bias', 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 , .
  • Ravana, S., Park, L. and Moffat, A. (2009), 'System scoring using partial prior information', 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 , .
  • Guo, Y., Ramamohanarao, K. and Park, L. (2009), 'Web access latency reduction using CRF-based predictive caching', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Park, L. and Ramamohanarao, K. (2009), 'Kernel latent semantic analysis using an information retrieval based kernel', International Conference on Information and Knowledge Management , .
  • Park, L. and Ramamohanarao, K. (2009), 'The sensitivity of latent dirichlet allocation for information retrieval', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Guo, Y., Ramamohanarao, K. and Park, L. (2009), 'Grouped ECOC conditional random fields for prediction of web user behavior', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Park, L., Bezdek, J. and Leckie, C. (2009), 'Visualization of clusters in very large rectangular dissimilarity data', ICARA 2009 - 4th International Conference on Autonomous Robots and Agents , .
  • Park, L. and Ramamohanarao, K. (2008), 'The effect of weighted term frequencies on probabilistic latent semantic term relationships', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Guo, Y., Ramamohanarao, K. and Park, L. (2008), 'Error correcting output coding-based Conditional Random Fields for Web page prediction', 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 , .
  • Park, L. and Ramamohanarao, K. (2008), 'Query expansion for the language modelling framework using the na??ve Bayes assumption', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Zhang, Y., Park, L. and Moffat, A. (2008), 'Parameter sensitivity in rank-biased precision', The Proceedings of the Thirteenth Australasian Document Computing Symposium, .
  • Guo, Y., Ramamohanarao, K. and Park, L. (2008), 'Web page prediction based on conditional random fields', Proceedings of the 18th Europea Conference on Artificial Intelligence, .
  • Park, L. and Ramamohanarao, K. (2007), 'Mining web multi-resolution community-based popularity for information retrieval', International Conference on Information and Knowledge Management , .
  • Guo, Y., Ramamohnanarao, K. and Park, L. (2007), 'Personalized PageRank for web page prediction based on access time-length and frequency', IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 , .
  • Park, L. and Ramamohanarao, K. (2007), 'Query expansion using a collection dependent probabilistic latent semantic thesaurus', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), .
  • Park, L. and Zhang, Y. (2007), 'On the distruibution of user persistence for rank-biased precision', Proceedings of the Twelth Australian Document Computing Symposium, .
  • Ramamohanarao, K. and Park, L. (2005), 'Broadening vector space schemes for improving the quality of information retrieval', Lecture Notes in Computer Science, .
  • Park, L. and Ramamohanarao, K. (2004), 'Hybrid pre-query term expansion using latent semantic analysis', Fourth IEEE International Conference on Data Mining, ICDM 2004 , .
  • Park, L. and Ramamohanarao, K. (2004), 'Preliminary work on pre-query term expansion using latent semantic analysis', In The Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining Workshop, .
  • Park, L., Ramamohanarao, K. and Palaniswami, M. (2002), 'A new implementation technique for fast spectral based document retrieval systems', The second IEEE International Conference on Data Mining, .
  • Park, L., Palaniswami, M. and Ramamohanarao, K. (2002), 'A novel web text mining method using the discrete cosine transform', The 6th European Conference on Principles of Data Mining and Knowledge Discovery, number 2431 in Lecture Notes in Artificial Intelligence, .

Other Publications

  • 2019, 'The New Privacy: Emerging Standards for Cloud-Based Security', Report

Previous Projects

Title: 12th Australasian Language Technology Association Meeting (ALTA), including Australasian Document Computing Symposium and Confluence 2015 for Computing, Language and Music Sciences
Funder:
  • Department of Trade and Investment Regional Infrastructure and Services
Western Researchers: Dominique Estival, Laurence Park and Kate Stevens
Years: 2015-05-08 - 2015-12-09
ID: P00022741
Title: Examining Match Activity Profiles in Women's AFL
Funder:
  • Western Sydney Football Club Ltd t/a GWS GIANTS
Western Researchers: Ric Lovell, Jason Siegler, Samuel Chalmers and Laurence Park
Years: 2018-04-06 - 2018-12-31
ID: P00024962
Title: Classification of disease from retinal features using Multi- Label Feedback
Funder:
  • University of Western Sydney
Western Researchers: Laurence Park
Years: 2010-11-02 - 2012-04-30
ID: P00019252
Title: A machine learning approach to the estimation of galaxy redshift [PhD Scholarship for Kieran Luken]
Funder:
  • Commonwealth Scientific & Industrial Research Organisation (CSIRO) (non ACRG)
Western Researchers: Ray Norris, Laurence Park and Miroslav Filipovic
Years: 2019-07-22 - 2023-07-22
ID: P00026081

Supervision

Associate Professor Park is available to be a principal supervisor for doctoral projects

Current Supervision

Thesis Title: Information Retrieval and Outlier Detection for High Dimensional Data Sets
Field of Research:

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