Golchin, Maryam, Di Marco, Moreno, Horwood, Paul F., Paini, Dean R., Hoskins, Andrew J., and Hickson, R.I. (2024) Prediction of viral spillover risk based on the mass action principle. One Health, 18. 100737.

Maskell, Peter, Ryan, Matt, Karawita, Anjana, Hickson, R.I., and Golchin, Maryam (2023) Building a one-vs-all classifier for spatial prediction of detected pathogens. In: Proceedings of the 25th International Congress on Modelling and Simulation. pp. 560-566. From: MODSIM 2023: 25th International Congress on Modelling and Simulation, 9-14 July 2023, Darwin, NT, Australia.

Furlong, Morgan, Adamu, Andrew M., Hoskins, Andrew, Russell, Tanya L., Gummow, Bruce, Golchin, Maryam, Hickson, Roslyn I., and Horwood, Paul F. (2023) Japanese Encephalitis Enzootic and Epidemic Risks across Australia. Viruses, 15 (2). 450.

Golchin, Maryam, Hoskins, Andrew, and Hickson, Roslyn (2022) Estimating spillover risk through consideration of transmission processes. In: [Presented at the Australian Biosecurity Symposium]. From: 2nd Australian Biosecurity Symposium, 3-5 May 2022, Gold Coast, QLD, Australia.

Furlong, Morgan, Adamu, Andrew, Hickson, Roslyn I., Horwood, Paul, Golchin, Maryam, Hoskins, Andrew, and Russell, Tanya (2022) Estimating the Distribution of Japanese Encephalitis Vectors in Australia Using Ecological Niche Modelling. Tropical Medicine and Infectious Disease, 7 (12). 393.

Rains, Piper, Little, Christine, Golchin, Maryam, and Hickson, Roslyn (2022) Machine learning-based risk prediction of pathogen richness. In: [Presented at ANZIAM 2022]. From: ANZIAM 2022, 6-11 February 2022, Perth, WA, Australia and Online.

Golchin, Maryam, Hoskins, Andrew J., Di Marco, Moreno, Horwood, Paul F., Paini, Dean, and Hickson, Roslyn I. (2022) Spillover risk estimate based on the combination of a high-risk pathogen pool and human population density. In: [Presented at the Global Health Security Conference 2022]. From: Global Health Security Conference 2022, 28 June - 1 July 2022, Singapore.

Golchin, Maryam, Hoskins, Andrew J., Di Marco, Moreno, Horwood, Paul F., Paini, Dean, and Hickson, Roslyn I. (2021) Predicting spillover risk: A framework linking drivers and mechanistic processes to the risk of disease emergence. In: [Presented at the 8th International Conference on Infectious Disease Dynamics]. From: EPIDEMICS 8: 8th International Conference on Infectious Disease Dynamics, 30 November - 3 December 2021, Online.

Golchin, Maryam, and Liew, Alan Wee-Chung (2019) Bi-clustering by Multi-objective Evolutionary Algorithm for Multimodal Analytics and Big Data. In: Seng, Kah Phooi, Ang, Li-minn, Liew, Alan Wee-Chung, and Gao, Junbin, (eds.) Multimodal Analytics for Next-Generation Big Data Technologies and Applications. Springer, Cham, Switzerland, pp. 125-150.

Taherzadeh, Ghazaleh, Dehzangi, Abdollah, Golchin, Maryam, Zhou, Yaoqi, and Campbell, Matthew P. (2019) SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties. Bioinformatics, 35 (20). pp. 4140-4146.

Liew, Alan Wee-Chung, and Golchin, Maryam (2018) Bicluster Detection by Hyperplane Projection and Evolutionary Optimization. In: Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies. pp. 61-68. From: Bioinformatics 2018: 9th International Joint Conference on Biomedical Engineering Systems and Technologies, 19-21 January 2018, Funchal, Portugal.

Golchin, Maryam (2018) Bicluster analysis of biomedical data based on multi-objective evolutionary optimization. PhD thesis, Griffith University.

Golchin, Maryam, and Liew, Alan Wee Chung (2017) Parallel biclustering detection using strength Pareto front evolutionary algorithm. Information Sciences, 415-416. pp. 283-297.