Laurence A. F. Park

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Unsupervised Clustering

Top Venues

Publications

Tomas Trescak, Laurence A. F. Park, Mesut Kocyigit
JobIQ: Recommending Study Pathways Based on Career Choices. CSEDU (1) (2023)
Sayed Waleed Qayyumi, Laurence A. F. Park, Oliver Obst
Few-Shot and Transfer Learning with Manifold Distributed Datasets. AusDM (2023)
Laurence A. F. Park, Jesse Read
Estimating Multi-label Accuracy using Labelset Distributions. CoRR (2022)
Sayed Waleed Qayyumi, Laurence A. F. Park, Oliver Obst
Active Learning for kNN Using Instance Impact. AI (2022)
Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Rao Kotagiri
Modelling Zeros in Blockmodelling. PAKDD (2) (2022)
Stuart Fitzpatrick, Laurence A. F. Park, Oliver Obst
Measuring Content Preservation in Textual Style Transfer. AusDM (2022)
Laurence A. F. Park, Yi Guo, Jesse Read
Assessing the Multi-labelness of Multi-label Data. ECML/PKDD (2) (2019)
Nicholas O. Ralph, Ray P. Norris, Gu Fang, Laurence A. F. Park, Timothy J. Galvin, Matthew J. Alger, Heinz Andernach, Chris J. Lintott, Lawrence Rudnick, Stanislav Shabala, O. Ivy Wong
Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images. CoRR (2019)
Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Laurence A. F. Park
Semi-supervised Blockmodelling with Pairwise Guidance. ECML/PKDD (2) (2018)
Laurence A. F. Park, Jesse Read
A Blended Metric for Multi-label Optimisation and Evaluation. ECML/PKDD (1) (2018)