John L. Hopper

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 6

Top Topics

Hierarchical Bayesian Models

Statistical Analysis

Top Venues

Australasian Conference on Artificial Intelligence

Health Inf. Sci. Syst.

Publications

Hong Hui Yeoh, Andrea Liew, Raphael C.-W. Phan, Fredrik Strand, Kartini Rahmat, Tuong Linh Nguyen, John L. Hopper, Maxine Tan
RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement. CoRR (2023)
Adrian Bickerstaffe, Thilina Ranaweera, Travis Endersby, Christopher Ellis, Sanjaya Maddumarachchi, George E. Gooden, Paul White, Eric K. Moses, Alex W. Hewitt, John L. Hopper
The Ark: a customizable web-based data management tool for health and medical research. Bioinform. 33 (4) (2017)
Enes Makalic, Daniel F. Schmidt, John L. Hopper
Bayesian Robust Regression with the Horseshoe+ Estimator. Australasian Conference on Artificial Intelligence (2016)
Daniel F. Schmidt, Enes Makalic, John L. Hopper
Approximating Message Lengths of Hierarchical Bayesian Models Using Posterior Sampling. Australasian Conference on Artificial Intelligence (2016)
Zemei Xu, Daniel F. Schmidt, Enes Makalic, Guoqi Q. Qian, John L. Hopper
Bayesian Grouped Horseshoe Regression with Application to Additive Models. Australasian Conference on Artificial Intelligence (2016)
Benjamin Goudey, Mani Abedini, John L. Hopper, Michael Inouye, Enes Makalic, Daniel F. Schmidt, John Wagner, Zeyu Zhou, Justin Zobel, Matthias Reumann
High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies. Health Inf. Sci. Syst. 3 (1) (2015)
Enes Makalic, Daniel F. Schmidt, John L. Hopper
DEPTH: A Novel Algorithm for Feature Ranking with Application to Genome-Wide Association Studies. Australasian Conference on Artificial Intelligence (2013)
Matthias Reumann, Enes Makalic, Benjamin W. Goudey, Michael Inouye, Adrian Bickerstaffe, Minh Bui, Daniel J. Park, Miroslaw K. Kapuscinski, Daniel F. Schmidt, Zeyu Zhou, Guoqi Q. Qian, Justin Zobel, John Wagner, John L. Hopper
Supercomputing enabling exhaustive statistical analysis of genome wide association study data: Preliminary results. EMBC (2012)