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Laurence Park

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Laurence Park

 https://orcid.org/0000-0003-0201-4409
20012026

Research activity per year

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Biography

To read more about Laurence, see https://lapark.github.io/

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Qualifications

Doctor of Philosophy, University of Melbourne

Bachelor of Engineering, University of Melbourne

Bachelor of Science, University of Melbourne

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Collaborations and top research areas from the last five years

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  • ASKAP EMU detection of an odd radio circle (ORC) candidate: J094412-751016 (Anglerfish)

    Filipović, M. D., Smeaton, Z., Bradley, A., Kothes, R., Crawford, E. J., Ahmad, A., Akahori, T., Barnes, L., Bordiu, C., Dai, S., Duchesne, S. W., Gordon, Y., Gupta, N., Hopkins, A., Koribalski, B. S., Lazarević, S., Leahy, D., Luken, K., Macgregor, P. & Mailvaganam, A. & 16 others, Mehmood, S., Norris, R., Novaretti, N., Park, L., Riggi, S., Riseley, C., Rowell, G., Sasaki, M., Shabala, S., Taziaux, S., Tothill, N., Urošević, D., Velović, V., Vernstrom, T., West, J. & Zafar, T., 10 Apr 2026, In: Publications of the Astronomical Society of Australia. 43, 10 p., e043.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File

  • Evaluating structural preprocessing in RAG for academic curriculum applications

    Intepe, G., Liang, Y. & Park, L. A. F., 2026, Data Science and Machine Learning: 23rd Australasian Conference, AusDM 2025, Brisbane, QLD, Australia, November 26–28, 2025, Proceedings. Nguyen, Q. V., Li, Y., Kwan, P., Zhao, Y., Boo, Y. L. & Nayak, R. (eds.). Singapore: Springer, p. 486-500 15 p. (Communications in Computer and Information Science; vol. 2765 CCIS).

    Research output: Chapter in Book / Conference Paper › Chapter › peer-review

  • TAG: Temporal Attention Graph for heterogeneous traffic trajectory prediction

    Patel, V. A., Guo, Y., Park, L. & Obst, O., 2026, Multi-disciplinary Trends in Artificial Intelligence: 18th International Conference, MIWAI 2025, Ho Chi Minh City, Vietnam, December 3-5, 2025, Proceedings, Part III. Quan, T. T., Pham, H.-A., Tran, N. T. & Sombattheera, C. (eds.). Singapore: Springer, p. 226-238 13 p. (Lecture Notes in Computer Science; vol. 16355 LNAI).

    Research output: Chapter in Book / Conference Paper › Chapter › peer-review

  • Determining the need for multi-label classifiers by measuring unexplained covariance

    Park, L. A. F. & Read, J., 2025, Data Science: Foundations and Applications: 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, June 10-13, 2025, Proceedings, Part VI. Wu, X., Spiliopoulou, M., Wang, C., Kumar, V., Cao, L., Zhou, X., Pang, G. & Gama, J. (eds.). Singapore: Springer, p. 250-261 12 p. (Lecture Notes in Computer Science; vol. 15875).

    Research output: Chapter in Book / Conference Paper › Chapter › peer-review

  • EMU and the DRAGNs I: a catalogue of DRAGNs

    Norris, R. P., Yew, M., Crawford, E. J., Gupta, N., Rudnick, L., Andernach, H., Filipović, M. D., Gordon, Y., Hopkins, A., Park, L., Brown, M., Jimenez Gallardo, A. M. & Shabala, S., 30 Sept 2025, In: Publications of the Astronomical Society of Australia. 42, 22 p., e124.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    4 Citations (Scopus)
    3 Downloads (Pure)
View all 92 research outputs