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Dr Patricia Jean Riddle

Research | Current

My main research interests are in the AI areas of machine learning and datamining.

In particular, I am interested in various techniques for machine learning (such as ensemble approaches, techniques which overcome overfitting problems, and data-engineering as incorporating background knowledge) and their applications to real world problems. In additon I have been working in the area of search, planning, and representation increasingly in the last few years.

Find more information on my personal website.

Selected publications and creative works (Research Outputs)

  • Benavides-Prado, D., Koh, Y. S., & Riddle, P. (2019). Selective Hypothesis Transfer for Lifelong Learning. Paper presented at International Joint Conference on Neural Networks (IJCNN), Budapest, HUNGARY. 14 July - 19 July 2019. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). (pp. 10).
    Other University of Auckland co-authors: Yun Sing Koh
  • Huggard, H., Koh, Y. S., Riddle, P., & Olivares, G. (2019). Predicting air quality from low-cost sensor measurements. Communications in Computer and Information Science. 10.1007/978-981-13-6661-1_8
    Other University of Auckland co-authors: Yun Sing Koh
  • Peng, A. Y., Sing Koh, Y., Riddle, P., & Pfahringer, B. (2019). Using supervised pretraining to improve generalization of neural networks on binary classification problems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-10925-7_25
    Other University of Auckland co-authors: Alex Peng, Yun Sing Koh
  • Nagappan, D., Warren, J., & Riddle, P. (2019). Health Consumer Usage Patterns in Management of CVD using Data Mining Techniques. Paper presented at Australasian Computer Science Week Multiconference (ACSW), Sydney, AUSTRALIA. 29 January - 31 January 2019. PROCEEDINGS OF THE AUSTRALASIAN COMPUTER SCIENCE WEEK MULTICONFERENCE (ACSW 2019). (pp. 9). 10.1145/3290688.3290732
    Other University of Auckland co-authors: Jim Warren
  • Hsu, W., Warren, J., & Riddle, P. (2019). Multivariate Sequential Analytics for Treatment Trajectory Forecasting. Paper presented at Australasian Computer Science Week Multiconference (ACSW), Sydney, AUSTRALIA. 29 January - 31 January 2019. PROCEEDINGS OF THE AUSTRALASIAN COMPUTER SCIENCE WEEK MULTICONFERENCE (ACSW 2019). (pp. 15). 10.1145/3290688.3290724
    Other University of Auckland co-authors: Jim Warren, William Hsu
  • Barley, M., Riddle, P., Linares López C, Dobson, S., & Pohl, I. (2018). GBFHS: A Generalized Breadth-First Heuristic Search Algorithm. Paper presented at The Eleventh Annual Symposium on Combinatorial Search, Stockholm, Sweden. 14 July - 15 July 2018. Proceedings of the Eleventh Annual Symposium on Combinatorial Search (SOCS 2018). (pp. 9). Related URL.
    URL: http://hdl.handle.net/2292/45475
    Other University of Auckland co-authors: Michael Barley
  • Fuentetaja, R., Barley, M. W., Borrajo, D., Douglas, J., Franco, S., & Riddle, P. (17/6/2017). Meta-search through the space of representations and heuristics on a problem by problem basis. Poster presented at SoCS 2017: The 10th Annual Symposium on Combinatorial Search, Pittsburgh, Pennsylvania, USA.
    Other University of Auckland co-authors: Michael Barley
  • Benavides-Prado, D., Koh, Y., & Riddle, P. (2017). AccGenSVM: Selectively transferring from previous hypotheses. In C. Sierra (Ed.) Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 1440-1446. Melbourne, Australia.
    Other University of Auckland co-authors: Yun Sing Koh

Contact details

Primary office location

SCIENCE CENTRE 303S - Bldg 303S
Level 4, Room 490
38 PRINCES ST
AUCKLAND 1010
New Zealand

Web links