Laurence Park on the Web

Research Interests

Information Retrieval - including topics such as Web link analysis, probabilistic latent semantic analysis, latent Dirichlet allocation, evaluation, community tagging, query expansion
Data Mining - kernel PCA, non-negative matrix factorisation, spectral graph analysis, co-clustering, VAT, coVAT
Machine Learning - support vector machines, conditional random fields, neural networks, self-organising maps
Data Compression - managing large sparse or dense data sets for efficient information retrieval
Signal Processing - wavelet transforms, Fourier transforms

top

Research Students

Yong Zhen Guo - Predicting Web user behaviour (Graduated 2010)
Uyen Nguyen - Machine learning for Information retrieval

top

Selected Publications

Publications for 2020

1	Laurence A. F. Park, Yi Guo, and Jesse Read. Assessing the multi-labelness of multi-label data. In Machine Learning and Knowledge Discovery in Databases, ECML PKDD (to appear), Lecture Notes in Artificial Intelligence. Springer International Publishing, 2020. bib \| .pdf

Publications for 2019

1	Mohadeseh Ganji, Jeffrey Chan, Peter. J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, and Laurence Park. Semi-supervised blockmodelling with pairwise guidance. In Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, and Georgiana Ifrim, editors, Machine Learning and Knowledge Discovery in Databases, ECML PKDD, Lecture Notes in Artificial Intelligence, pages 158--174. Springer International Publishing, Dublin, Ireland, 2019. bib \| DOI \| .pdf
2	Laurence A. F. Park and Jesse Read. A blended metric for multi-label optimisation and evaluation. In Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, and Georgiana Ifrim, editors, Machine Learning and Knowledge Discovery in Databases, ECML PKDD, Lecture Notes in Artificial Intelligence, pages 719--734. Springer International Publishing, Cham, 2019. bib \| DOI \| .pdf
3	Luke Munn, Tsvetelina Hristova, Liam Magee, Debra Bourdignon, Tim Horan, Tamir Levin, Tal Nathan, and Laurence Park. The new privacy: Emerging standards for cloud-based security. 2019. bib \| DOI
4	Ric Lovell, Dawn Scott, and Laurence Park. Soccer velocity thresholds: do we really know what’s best? Science and Medicine in Football, 3(1):85--86, 2019. bib \| .pdf
5	Kieran J Luken, Ray P Norris, and Laurence AF Park. 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, 131(1004):108003, 2019. bib \| DOI
6	Nicholas O Ralph, Ray P Norris, Gu Fang, Laurence AF Park, Timothy J Galvin, Matthew J Alger, Heinz Andernach, Chris Lintott, Lawrence Rudnick, Stanislav Shabala, et al. Radio galaxy zoo: Unsupervised clustering of convolutionally auto-encoded radio-astronomical images. Publications of the Astronomical Society of the Pacific, 131(1004):108011, 2019. bib \| DOI

Publications for 2018

1	Quentin Roper, Miroslav Filipovic, Glenn E Allen, Hidetoshi Sano, Laurence Park, Thomas G Pannuti, Manami Sasaki, Frank Haberl, Patrick J Kavanagh, Yumiko Yamane, Satoshi Yoshii, Kosuke Fujii, Yasuo Fukui, and Ivo R Seitenzahl. 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, 479:1800–--1806, 2018. bib \| DOI
2	Laurence A. F. Park, Dawn Scott, and Ric Lovell. Velocity zone classification in elite women’s football: where do we draw the lines? Science and Medicine in Football, pages 1--8, 2018. bib \| DOI
3	Yi Guo, Simon Green, Laurence A. F. Park, and Lauren Rispen. Left ventricle volume measuring using echocardiography sequences. In 2018 Digital Image Computing: Techniques and Applications (DICTA), pages 1--8, Dec 2018. bib \| DOI \| Abstract

Publications for 2017

1	Sunil Randeni, Kenan M Matawie, and Laurence A. F. Park. An investigation into the use of document scores for optimisation over rank-biased precision. In Asian Information Retrieval Symposium, pages 197--209. Springer, 2017. bib \| DOI
2	Rehez Ahlip, Laurence A. F. Park, and Ante Prodan. Pricing currency options in the heston/cir double exponential jump-diffusion model. International Journal of Financial Engineering, 4(01), 2017. bib \| DOI \| .pdf
3	Yaping He and Laurence A. F. Park. A statistical analysis of occurrence and association between structural fire hazards in heritage housing. Fire Safety Journal, 90:169--180, 2017. bib \| DOI \| .pdf

Publications for 2016

1	Laurence A. F. Park. Uncertainty in rank-biased precision. In Proceedings of the 21st Australasian Document Computing Symposium, ADCS '16, New York, NY, USA, 2016. ACM. bib \| DOI \| .pdf
2	Laurence A. F. Park, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, James Bailey, and Marimuthu Palaniswami. Visual assessment of clustering tendency for incomplete data. IEEE Transactions on Knowledge and Data Engineering, 2016. bib \| DOI \| .pdf
3	Laurence A. F. Park and Glenn Stone. The effect on accuracy of tweet sample size for hashtag segmentation dictionary construction. In Proceedings of the 2016 Pacific Asia Knowledge Discovery and Data Mining Conference (PAKDD), PAKDD, 2016. bib \| DOI \| .pdf

Publications for 2015

1	Laurence A. F. Park and Glenn Stone. The effect of assessor coverage and assessor accuracy on rank aggregation precision. In Proceedings of the 20th Australasian Document Computing Symposium, ADCS '15, pages 6:1--6:4, New York, NY, USA, 2015. ACM. bib \| DOI \| .pdf
2	Laurence A. F. Park and Simeon Simoff. Using entropy as a measure of acceptance for multi-label classification. In Elisa Fromont, Tijl De Bie, and Matthijs van Leeuwen, editors, Advances in Intelligent Data Analysis XIV, pages 217--228. Springer, 2015. bib \| DOI \| .pdf
3	Laurence A. F. Park and Sarvnaz Karimi, editors. ADCS '15: Proceedings of the 20th Australasian Document Computing Symposium, New York, NY, USA, 2015. ACM. bib \| http

Publications for 2014

1	J. Shane Culpepper, Laurence Park, and Guido Zuccon, editors. ADCS '14: Proceedings of the 2014 Australasian Document Computing Symposium, New York, NY, USA, 2014. ACM. bib \| http
2	Laurence A. F. Park and Glenn Stone. By the power of grayskull: Small sample statistical power in information retrieval evaluation. In Proceedings of the 2014 Australasian Document Computing Symposium, ADCS '14, pages 101:101--101:104, New York, NY, USA, 2014. ACM. bib \| DOI \| .pdf
3	Laurence A. F. Park and Simeon Simoff. Second order probabilistic models for within-document novelty detection in academic articles. In Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR '14, pages 1103--1106, New York, NY, USA, 2014. ACM. bib \| DOI \| .pdf
4	Laurence A. F. Park and Glenn Stone. Inducing controlled error over variable length ranked lists. In Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, ArbeeL.P. Chen, and Hung-Yu Kao, editors, Advances in Knowledge Discovery and Data Mining, volume 8444 of Lecture Notes in Computer Science, pages 259--270. Springer International Publishing, 2014. bib \| DOI \| .pdf

Publications for 2013

1	Uyen T. V. Nguyen, Alauddin Bhuiyan, Laurence A. F. Park, and Kotagiri Ramamohanarao. An effective retinal blood vessel segmentation method using multi-scale line detection. Pattern Recognition, 46(3):703--715, March 2013. bib \| DOI \| .pdf
2	Laurence A. F. Park and Simeon Simoff. Power walk: Revisiting the random surfer. In Proceedings of the 18th Australasian Document Computing Symposium, ADCS '13, pages 50--57, New York, NY, USA, 2013. ACM. bib \| DOI \| .pdf
3	Uyen T. V. Nguyen, Alauddin Bhuiyan, Laurence A. F. Park, Ryo Kawasaki, Tien Y Wong, Jie J Wang, Paul Mitchell, and Kotagiri Ramamohanarao. Automated quantification of retinal arteriovenous nicking from colour fundus images. In Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, pages 5865--5868. IEEE, 2013. bib \| DOI
4	Uyen T. V. Nguyen, Alauddin Bhuiyan, Laurence A. F. Park, Ryo Kawasaki, Tien Y Wong, Jie Jin Wang, Paul Mitchell, and Kotagiri Ramamohanarao. An automated method for retinal arteriovenous nicking quantification from color fundus images. Biomedical Engineering, IEEE Transactions on, 60(11):3194--3203, 2013. bib \| DOI

Publications for 2012

1	U. T. V. Nguyen, A Bhuiyan, L. A. F. Park, R Kawasaki, T. Y. Wong, and K Ramamohanarao. Automatic detection of retinal vascular landmark features for colour fundus image matching and patient longitudinal study. In 2013 IEEE International Conference on Image Processing (ICIP'13), 2012. bib \| .pdf
2	Uyen Nguyen, Laurence A. F. Park, Alauddin Bhuiyan, and Ramamohanarao Kotagiri. A quantitative measure for retinal blood vessel segmentation evaluation. International Journal of Computer Vision and Signal Processing, 1(1):1--8, 2012. bib \| .pdf
3	Mazin Aouf and Laurence A. F. Park. Approximate document outlier detection using random spectral projection. In Michael Thielscher and Dongmo Zhang, editors, AI 2012: Advances in Artificial Intelligence: 25th Australasian Joint Conference, Sydney, Australia, December 4-7, 2012. Proceedings, pages 579--590. Springer Berlin Heidelberg, Berlin, Heidelberg, 2012. bib \| DOI \| .pdf

Publications for 2011

1	Laurence A. F. Park and Kotagiri Ramamohanarao. Multi-resolution web link analysis using generalised link relations. IEEE Transactions of Knowledge and Data Engineering, 23(11):1691 -- 1703, November 2011. bib \| DOI \| .pdf
2	Uyen T. V. Nguyen, Alauddin Bhuiyan, Kotagiri Ramamohanarao, and Laurence A. F. Park. An effective supervised framework for retinal blood vessel segmentation using local standardisation and bagging. In Proceedings of the Second international conference on Machine learning in medical imaging, MLMI'11, pages 117--125, Berlin, Heidelberg, 2011. Springer-Verlag. bib \| http
3	Laurence A. F. Park. Examining document model residuals to provide feedback during information retrieval evaluation. In Paul Thomas, Sally Jo Cunningham, and Falk Scholer, editors, Proceedings of the Sixteenth Australasian Document Computing Symposium. ACM Press, 2011. bib \| .pdf
4	Laurence A. F. Park. Fast approximate text document clustering using compressive sampling. In Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, and Michalis Vazirgiannis, editors, Machine Learning and Knowledge Discovery in Databases, volume 6912 of Lecture Notes in Computer Science, pages 565--580. Springer Berlin / Heidelberg, 2011. bib \| DOI \| .pdf
5	Eric Beh, Laurence Park, and Kenneth Russell, editors. Proceedings of the 4th Applied Statistics Education and Research Collaboration (ASEARC) Conference. University of Wollongong (CSSM), 2011. bib \| .pdf
6	Masud Moshtaghi, Timothy C. Havens, James C. Bezdek, Laurence Park, Christopher Leckie, Sutharshan Rajasegarar, James M. Keller, and Marimuthu Palaniswami. Clustering ellipses for anomaly detection. Pattern Recognition, 44(1):55--69, 2011. bib \| DOI \| .pdf
7	Laurence A. F. Park. Bootstrap confidence intervals for mean average precision. In Proceedings of the Fourth ASEARC Conference, pages 51--54, 2011. bib \| .pdf

Publications for 2010

1	Laurence A. F. Park. Confidence intervals for information retrieval evaluation. In Andrew Turpin, Falk Scholer, and Andrew Trotman, editors, Proceedings of the Fifteenth Australasian Document Computing Symposium, 2010. bib \| .pdf
2	Yuye Zhang, Laurence A. F. Park, and Alistair Moffat. Click-based evidence for decaying weight distributions in search effectiveness metrics. The Journal of Information Retrieval, pages 1--24, 2010. bib \| DOI \| .pdf \| Abstract
3	James Bezdek, Timothy Havens, James Keller, Christopher Leckie, Laurence Park, Marimuthu Palaniswami, and Sutharshan Rajasegarar. Clustering elliptical anomalies in sensor networks. In Proceedings of 2010 Conference on Fuzzy Systems (FUZZ-IEEE), pages 909--916, Piscataway, NJ, 2010. IEEE Press. bib \| DOI \| .pdf

Publications for 2009

1	Laurence A. F. Park, Kotagiri Ramamohanarao, Christopher A. Leckie, and James C. Bezdek. Adapting spectral co-clustering to documents and words using latent semantic analysis. In AI 2009: Advances in Artificial Intelligence, volume 5866 of Lecture Notes in Computer Science, pages 301--311. Springer Berlin / Heidelberg, December 2009. bib \| DOI \| .pdf \| Abstract
2	Uyen T. V. Nguyen, Laurence A. F. Park, Liang Wang, and Kotagiri Ramamohanarao. A novel path-based clustering algorithm using multi-dimensional scaling. In AI 2009: Advances in Artificial Intelligence, volume 5866 of Lecture Notes in Computer Science, pages 280--290. Springer Berlin / Heidelberg, December 2009. bib \| DOI \| .pdf
3	Laurence A. F. Park and Kotagiri Ramamohanarao. Kernel latent semantic analysis using an information retrieval based kernel. In David Cheung, Il-Yeol Song, Wesley Chu, Xiaohua Hu, Jimmy Lin, Jiexun Li, and Zhiyong Peng, editors, Proceeding of the 18th ACM conference on Information and knowledge management., pages 1721--1724. The Association for Computing Machinery, November 2009. bib \| DOI \| .pdf
4	Yong Zhen Guo, Kotagiri Ramamohanarao, and Laurence A. F. Park. Web access latency reduction using CRF-based predictive caching. In Web Information Systems and Mining, volume 5854 of Lecture Notes in Computer Science, pages 31--44. Springer Berlin / Heidelberg, November 2009. bib \| DOI \| .pdf
5	Laurence A. F. Park and Kotagiri Ramamohanarao. The sensitivity of latent dirichlet allocation for information retrieval. In Wray Buntine, Marko Grobelnik, Dunja Mladenic, and John Shawe-Taylor, editors, Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD Proceedings, Part II, Lecture Notes in Artificial Intelligence, pages 176--188. Springer, Bled, Slovenia, September 2009. bib \| DOI \| .pdf
6	William Webber and Laurence A. F. Park. Score adjustment for correction of pooling bias. In Mark Sanderson, ChengXiang Zhai, Justin Zobel, James Allan, and Javed Aslam, editors, Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pages 444--451, New York, USA, July 2009. ACM Press. bib \| DOI \| .pdf
7	Sri Ravana, Laurence A. F. Park, and Alistair Moffat. System scoring using partial prior information. In Mark Sanderson, ChengXiang Zhai, Justin Zobel, James Allan, and Javed Aslam, editors, Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pages 788--789, New York, USA, July 2009. ACM Press. bib \| DOI \| .pdf
8	Justin Zobel, Alistair Moffat, and Laurence A. F. Park. Against recall: Is it persistence, cardinality, density, coverage, or totality? In ACM SIGIR Forum, volume 43, pages 3--15. ACM Press, June 2009. bib \| .pdf
9	Yong Zhen Guo, Kotagiri Ramamohanarao, and Laurence A. F. Park. Grouped ECOC conditional random fields for prediction of web user behavior. In Advances in Knowledge Discovery and Data Mining, volume 5476 of Lecture Notes in Computer Science, pages 757--763. Springer Berlin / Heidelberg, April 2009. bib \| DOI \| .pdf
10	Laurence A. F. Park, James C. Bezdek, and Christopher A. Leckie. Visualisation of clusters in very large rectangular dissimilarity data. In G. Sen Gupta and S. C. Mukhopadhyay, editors, Proceedings of the Fourth International Conference on Autonomous Robots and Agents, pages 251--256, February 2009. bib \| DOI \| .pdf \| Abstract
11	Laurence A. F. Park and Kotagiri Ramamohanarao. An analysis of latent semantic term self-correlation. ACM Transactions on Information Systems, 27(2):1--35, 2009. bib \| DOI \| .pdf \| Abstract
12	Laurence A. F. Park and Kotagiri Ramamohanarao. Efficient storage and retrieval of probabilistic latent semantic information for information retrieval. The International Journal on Very Large Data Bases, 18(1):141--156, January 2009. bib \| DOI \| .pdf \| Abstract

Publications for 2008

1	Laurence A. F. Park and Kotagiri Ramamohanarao. Query expansion for the language modelling framework using the naive bayes assumption. In Takashi Washio, Einoshin Suzuki, Kai Ming Ting, and Akihiro Inokuchi, editors, The Twelfth Pacific-Asia Conference on Knowledge Discovery and Data Mining, number 5012 in LNCS, pages 681--688. Springer, May 2008. bib \| DOI \| .pdf \| Abstract
2	Laurence A. F. Park and Kotagiri Ramaohanarao. The effect of weighted term frequencies on probabilistic latent semantic term relationships. In Amihood Amir, Andrew Turpin, and Alistair Moffat, editors, The 5th String Processing and Information Retrieval Symposium, volume 5280/2009, pages 63--74, 2008. bib \| DOI \| .pdf \| Abstract
3	Yong Zhen Guo, Kotagiri Ramamohanarao, and Laurence A. F. Park. Web page prediction based on conditional random fields. In Proceedings of the 18th European Conference on Artificial Intelligence, pages 251--255, 2008. bib \| .pdf \| Abstract
4	Yong Zhen Guo, Kotagiri Ramamohanarao, and Laurence A. F. Park. Error correcting output coding-based conditional random fields for web page prediction. In Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence, 2008. bib \| DOI \| .pdf \| Abstract
5	Yuye Zhang, Laurence A. F. Park, and Alistair Moffat. Parameter sensitivity in rank-biased precision. In The Proceedings of the Thirteenth Australasian Document Computing Symposium, 2008. bib \| .pdf \| Abstract

Publications for 2007

1	Yong Zhen Guo, Kotagiri Ramamohanarao, and Laurence A. F. Park. Personalized pagerank for web page prediction based on access time-length and frequency. In The Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pages 687--690. IEEE Computer Society, November 2007. bib \| DOI \| .pdf \| Abstract
2	Laurence A. F. Park and Kotagiri Ramamohanarao. Mining web multi-resolution community-based popularity for information retrieval. In The Proceedings of the 2007 ACM Conference on Information and Knowledge Management, pages 545--552, November 2007. bib \| DOI \| .pdf \| Abstract
3	Laurence A. F. Park and Kotagiri Ramamohanarao. Query expansion using a collection dependent probabilistic latent semantic thesaurus. In Zhi-Hua Zhou, Hang Li, and Qiang Yang, editors, The Eleventh Pacific-Asia Conference on Knowledge Discovery and Data Mining Workshop, volume 4426 of Lecture Notes in Computer Science, pages 224--235. Springer, 2007. bib \| DOI \| .pdf \| Abstract
4	Laurence A. F. Park and Yuye Zhang. On the distribution of user persistence for rank-biased precision. In The Proceedings of the Twelfth Australasian Document Computing Symposium, 2007. bib \| .pdf \| Abstract

Publications for 2005

1	Kotagiri Ramamohanarao and Laurence A. F. Park. Broadening vector space schemes for improving the quality of information retrieval. In The Proceedings of the Seventh Asia Pacific Web Conference, pages 15--26, March 2005. bib \| DOI \| .pdf \| Abstract
2	Laurence A. F. Park, Kotagiri Ramamohanarao, and Marimuthu Palaniswami. A novel document retrieval method using the discrete wavelet transform. ACM Transactions on Information Systems, 23(3):267--298, 2005. bib \| DOI \| .pdf \| Abstract
3	Laurence A. F. Park, Marimuthu Palaniswami, and Kotagiri Ramamohanarao. A novel document ranking method using the discrete cosine transform. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(1):130--135, January 2005. bib \| DOI \| .pdf \| Abstract

Publications for 2004

1	Kotagiri Ramamohanarao and Laurence A. F. Park. Spectral-based document retrieval. In Advances in Computer Science - ASIAN 2004, volume 3321 of Lecture Notes in Computer Science, pages 407--417. Springer Berlin / Heidelberg, December 2004. bib \| DOI
2	Laurence A. F. Park and Kotagiri Ramamohanarao. Hybrid pre-query term expansion using latent semantic analysis. In Rajeev Rastogi, Katharina Morik, Max Bramer, and Xindong Wu, editors, The Fourth IEEE International Conference on Data Mining, pages 178--185, Los Alamitos, California, November 2004. IEEE Computer Society. bib \| DOI \| .pdf \| Abstract
3	Laurence A. F. Park, Kotagiri Ramamohanarao, and Marimuthu Palaniswami. Fourier domain scoring : A novel document ranking method. IEEE Transactions on Knowledge and Data Engineering, 16(5):529--539, May 2004. bib \| DOI \| .pdf \| Abstract
4	Laurence A. F. Park and Kotagiri Ramamohanarao. Preliminary work on pre-query term expansion using latent semantic analysis. In The Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining Workshop, pages 1--10. Springer, Sydney, Australia, May 2004. bib
5	Laurence A. F. Park. Spectral Based Information Retrieval. PhD thesis, The University of Melbourne, Australia, 2004. bib \| .pdf \| Abstract

Publications for 2002

Laurence A. F. Park, Kotagiri Ramamohanarao, and Marimuthu Palaniswami. A new implementation technique for fast spectral based document retrieval systems. In Vipin Kumar and Shusaku Tsumoto, editors, The Second IEEE International Conference on Data Mining, pages 346--353, Los Alamitos, California, USA, December 2002. IEEE Computer Society. bib | DOI | .pdf | Abstract

Laurence A. F. Park, Marimuthu Palaniswami, and Kotagiri Ramamohanarao. A novel web text mining method using the discrete cosine transform. In T. Elomaa, H. Mannila, and H. Toivonen, editors, The 6th European Conference on Principles of Data Mining and Knowledge Discovery, number 2431 in Lecture Notes in Artificial Intelligence, pages 385--396, Berlin, August 2002. Springer-Verlag. bib | DOI | .pdf | Abstract

Publications for 2001

Laurence A. F. Park, Marimuthu Palaniswami, and Ramamohanarao Kotagiri. Internet document filtering using Fourier domain scoring. In Luc de Raedt and Arno Siebes, editors, Principles of Data Mining and Knowledge Discovery, number 2168 in Lecture Notes in Artificial Intelligence, pages 362--373. Springer-Verlag, September 2001. bib | DOI | .pdf | Abstract

top

Selected Presentations

top

Implementations

textIR - a topic model software suite, used in many of my papers
Ashur - The first spectral based web search engine

1	Mohadeseh Ganji, Jeffrey Chan, Peter. J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, and Laurence Park. Semi-supervised blockmodelling with pairwise guidance. In Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, and Georgiana Ifrim, editors, Machine Learning and Knowledge Discovery in Databases, ECML PKDD, Lecture Notes in Artificial Intelligence, pages 158--174. Springer International Publishing, Dublin, Ireland, 2019. bib \| DOI \| .pdf
2	Laurence A. F. Park and Jesse Read. A blended metric for multi-label optimisation and evaluation. In Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, and Georgiana Ifrim, editors, Machine Learning and Knowledge Discovery in Databases, ECML PKDD, Lecture Notes in Artificial Intelligence, pages 719--734. Springer International Publishing, Cham, 2019. bib \| DOI \| .pdf
3	Luke Munn, Tsvetelina Hristova, Liam Magee, Debra Bourdignon, Tim Horan, Tamir Levin, Tal Nathan, and Laurence Park. The new privacy: Emerging standards for cloud-based security. 2019. bib \| DOI
4	Ric Lovell, Dawn Scott, and Laurence Park. Soccer velocity thresholds: do we really know what’s best? Science and Medicine in Football, 3(1):85--86, 2019. bib \| .pdf
5	Kieran J Luken, Ray P Norris, and Laurence AF Park. 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, 131(1004):108003, 2019. bib \| DOI
6	Nicholas O Ralph, Ray P Norris, Gu Fang, Laurence AF Park, Timothy J Galvin, Matthew J Alger, Heinz Andernach, Chris Lintott, Lawrence Rudnick, Stanislav Shabala, et al. Radio galaxy zoo: Unsupervised clustering of convolutionally auto-encoded radio-astronomical images. Publications of the Astronomical Society of the Pacific, 131(1004):108011, 2019. bib \| DOI

1	J. Shane Culpepper, Laurence Park, and Guido Zuccon, editors. ADCS '14: Proceedings of the 2014 Australasian Document Computing Symposium, New York, NY, USA, 2014. ACM. bib \| http
2	Laurence A. F. Park and Glenn Stone. By the power of grayskull: Small sample statistical power in information retrieval evaluation. In Proceedings of the 2014 Australasian Document Computing Symposium, ADCS '14, pages 101:101--101:104, New York, NY, USA, 2014. ACM. bib \| DOI \| .pdf
3	Laurence A. F. Park and Simeon Simoff. Second order probabilistic models for within-document novelty detection in academic articles. In Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR '14, pages 1103--1106, New York, NY, USA, 2014. ACM. bib \| DOI \| .pdf
4	Laurence A. F. Park and Glenn Stone. Inducing controlled error over variable length ranked lists. In Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, ArbeeL.P. Chen, and Hung-Yu Kao, editors, Advances in Knowledge Discovery and Data Mining, volume 8444 of Lecture Notes in Computer Science, pages 259--270. Springer International Publishing, 2014. bib \| DOI \| .pdf

1	Uyen T. V. Nguyen, Alauddin Bhuiyan, Laurence A. F. Park, and Kotagiri Ramamohanarao. An effective retinal blood vessel segmentation method using multi-scale line detection. Pattern Recognition, 46(3):703--715, March 2013. bib \| DOI \| .pdf
2	Laurence A. F. Park and Simeon Simoff. Power walk: Revisiting the random surfer. In Proceedings of the 18th Australasian Document Computing Symposium, ADCS '13, pages 50--57, New York, NY, USA, 2013. ACM. bib \| DOI \| .pdf
3	Uyen T. V. Nguyen, Alauddin Bhuiyan, Laurence A. F. Park, Ryo Kawasaki, Tien Y Wong, Jie J Wang, Paul Mitchell, and Kotagiri Ramamohanarao. Automated quantification of retinal arteriovenous nicking from colour fundus images. In Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, pages 5865--5868. IEEE, 2013. bib \| DOI
4	Uyen T. V. Nguyen, Alauddin Bhuiyan, Laurence A. F. Park, Ryo Kawasaki, Tien Y Wong, Jie Jin Wang, Paul Mitchell, and Kotagiri Ramamohanarao. An automated method for retinal arteriovenous nicking quantification from color fundus images. Biomedical Engineering, IEEE Transactions on, 60(11):3194--3203, 2013. bib \| DOI

1	Laurence A. F. Park and Kotagiri Ramamohanarao. Multi-resolution web link analysis using generalised link relations. IEEE Transactions of Knowledge and Data Engineering, 23(11):1691 -- 1703, November 2011. bib \| DOI \| .pdf
2	Uyen T. V. Nguyen, Alauddin Bhuiyan, Kotagiri Ramamohanarao, and Laurence A. F. Park. An effective supervised framework for retinal blood vessel segmentation using local standardisation and bagging. In Proceedings of the Second international conference on Machine learning in medical imaging, MLMI'11, pages 117--125, Berlin, Heidelberg, 2011. Springer-Verlag. bib \| http
3	Laurence A. F. Park. Examining document model residuals to provide feedback during information retrieval evaluation. In Paul Thomas, Sally Jo Cunningham, and Falk Scholer, editors, Proceedings of the Sixteenth Australasian Document Computing Symposium. ACM Press, 2011. bib \| .pdf
4	Laurence A. F. Park. Fast approximate text document clustering using compressive sampling. In Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, and Michalis Vazirgiannis, editors, Machine Learning and Knowledge Discovery in Databases, volume 6912 of Lecture Notes in Computer Science, pages 565--580. Springer Berlin / Heidelberg, 2011. bib \| DOI \| .pdf
5	Eric Beh, Laurence Park, and Kenneth Russell, editors. Proceedings of the 4th Applied Statistics Education and Research Collaboration (ASEARC) Conference. University of Wollongong (CSSM), 2011. bib \| .pdf
6	Masud Moshtaghi, Timothy C. Havens, James C. Bezdek, Laurence Park, Christopher Leckie, Sutharshan Rajasegarar, James M. Keller, and Marimuthu Palaniswami. Clustering ellipses for anomaly detection. Pattern Recognition, 44(1):55--69, 2011. bib \| DOI \| .pdf
7	Laurence A. F. Park. Bootstrap confidence intervals for mean average precision. In Proceedings of the Fourth ASEARC Conference, pages 51--54, 2011. bib \| .pdf

1	Laurence A. F. Park, Kotagiri Ramamohanarao, Christopher A. Leckie, and James C. Bezdek. Adapting spectral co-clustering to documents and words using latent semantic analysis. In AI 2009: Advances in Artificial Intelligence, volume 5866 of Lecture Notes in Computer Science, pages 301--311. Springer Berlin / Heidelberg, December 2009. bib \| DOI \| .pdf \| Abstract
2	Uyen T. V. Nguyen, Laurence A. F. Park, Liang Wang, and Kotagiri Ramamohanarao. A novel path-based clustering algorithm using multi-dimensional scaling. In AI 2009: Advances in Artificial Intelligence, volume 5866 of Lecture Notes in Computer Science, pages 280--290. Springer Berlin / Heidelberg, December 2009. bib \| DOI \| .pdf
3	Laurence A. F. Park and Kotagiri Ramamohanarao. Kernel latent semantic analysis using an information retrieval based kernel. In David Cheung, Il-Yeol Song, Wesley Chu, Xiaohua Hu, Jimmy Lin, Jiexun Li, and Zhiyong Peng, editors, Proceeding of the 18th ACM conference on Information and knowledge management., pages 1721--1724. The Association for Computing Machinery, November 2009. bib \| DOI \| .pdf
4	Yong Zhen Guo, Kotagiri Ramamohanarao, and Laurence A. F. Park. Web access latency reduction using CRF-based predictive caching. In Web Information Systems and Mining, volume 5854 of Lecture Notes in Computer Science, pages 31--44. Springer Berlin / Heidelberg, November 2009. bib \| DOI \| .pdf
5	Laurence A. F. Park and Kotagiri Ramamohanarao. The sensitivity of latent dirichlet allocation for information retrieval. In Wray Buntine, Marko Grobelnik, Dunja Mladenic, and John Shawe-Taylor, editors, Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD Proceedings, Part II, Lecture Notes in Artificial Intelligence, pages 176--188. Springer, Bled, Slovenia, September 2009. bib \| DOI \| .pdf
6	William Webber and Laurence A. F. Park. Score adjustment for correction of pooling bias. In Mark Sanderson, ChengXiang Zhai, Justin Zobel, James Allan, and Javed Aslam, editors, Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pages 444--451, New York, USA, July 2009. ACM Press. bib \| DOI \| .pdf
7	Sri Ravana, Laurence A. F. Park, and Alistair Moffat. System scoring using partial prior information. In Mark Sanderson, ChengXiang Zhai, Justin Zobel, James Allan, and Javed Aslam, editors, Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pages 788--789, New York, USA, July 2009. ACM Press. bib \| DOI \| .pdf
8	Justin Zobel, Alistair Moffat, and Laurence A. F. Park. Against recall: Is it persistence, cardinality, density, coverage, or totality? In ACM SIGIR Forum, volume 43, pages 3--15. ACM Press, June 2009. bib \| .pdf
9	Yong Zhen Guo, Kotagiri Ramamohanarao, and Laurence A. F. Park. Grouped ECOC conditional random fields for prediction of web user behavior. In Advances in Knowledge Discovery and Data Mining, volume 5476 of Lecture Notes in Computer Science, pages 757--763. Springer Berlin / Heidelberg, April 2009. bib \| DOI \| .pdf
10	Laurence A. F. Park, James C. Bezdek, and Christopher A. Leckie. Visualisation of clusters in very large rectangular dissimilarity data. In G. Sen Gupta and S. C. Mukhopadhyay, editors, Proceedings of the Fourth International Conference on Autonomous Robots and Agents, pages 251--256, February 2009. bib \| DOI \| .pdf \| Abstract
11	Laurence A. F. Park and Kotagiri Ramamohanarao. An analysis of latent semantic term self-correlation. ACM Transactions on Information Systems, 27(2):1--35, 2009. bib \| DOI \| .pdf \| Abstract
12	Laurence A. F. Park and Kotagiri Ramamohanarao. Efficient storage and retrieval of probabilistic latent semantic information for information retrieval. The International Journal on Very Large Data Bases, 18(1):141--156, January 2009. bib \| DOI \| .pdf \| Abstract

laurence a f park