SPRINT-Gly: Predicting N-and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties MPC Ghazaleh Taherzadeh, Abdollah Dehzangi, Maryam Golchin, Yaoqi Zhou Bioinformatics, 2019 | 65 | 2019 |
Shadow Detection using Color and Edge Information. M Golchin, F Khalid, LN Abdullah, SH Davarpanah J. Comput. Sci. 9 (11), 1575-1588, 2013 | 36 | 2013 |
A texture descriptor: background local binary pattern (bglbp) SH Davarpanah, F Khalid, L Nurliyana Abdullah, M Golchin Multimedia Tools and Applications 75, 6549-6568, 2016 | 29 | 2016 |
Parallel biclustering detection using strength Pareto front evolutionary algorithm M Golchin, AWC Liew Information Sciences 415, 283-297, 2017 | 20 | 2017 |
Japanese encephalitis enzootic and epidemic risks across Australia M Furlong, AM Adamu, A Hoskins, TL Russell, B Gummow, M Golchin, ... Viruses 15 (2), 450, 2023 | 12 | 2023 |
Estimating the distribution of Japanese encephalitis vectors in Australia using ecological niche modelling M Furlong, A Adamu, RI Hickson, P Horwood, M Golchin, A Hoskins, ... Tropical Medicine and Infectious Disease 7 (12), 393, 2022 | 9 | 2022 |
Biclustering analysis of gene expression data using multi-objective evolutionary algorithms M Golchin, SH Davarpanah, AWC Liew International Conference on Machine Learning and Cybernetics (ICMLC), 2015 | 9 | 2015 |
A block-based multi-scale background extraction algorithm SH Davarpanah, F Khalid, M Golchin Journal of Computer Science 6 (12), 1450, 2010 | 6 | 2010 |
Using multi-scale filtering to initialize a background extraction model SH Davarpanah, F Khalid, NA Lili, SS Puteri, M Golchin Journal of Computer Science 8 (7), 1077, 2012 | 5 | 2012 |
Bicluster detection using strength pareto front evolutionary algorithm M Golchin, AWC Liew Proceedings of the Australasian Computer Science Week Multiconference, 1-6, 2016 | 3 | 2016 |
An effective history-based background extraction system SH Davarpanah, F Khalid, M Golchin Journal of Computer Science 8 (7), 1062, 2012 | 3 | 2012 |
Prediction of viral spillover risk based on the mass action principle M Golchin, M Di Marco, P Horwood, D Paini, A Hoskins, RI Hickson arXiv preprint arXiv:2311.03654, 2023 | 1 | 2023 |
Bi-clustering by multi-objective evolutionary algorithm for multimodal analytics and big data M Golchin, AWC Liew Multimodal Analytics for Next-Generation Big Data Technologies and …, 2019 | 1 | 2019 |
Building a one-vs-all classifier for spatial prediction of detected pathogens P Maskell, M Ryan, A Karawita, RI Hickson, M Golchin Proceedings of the International Congress on Modelling and Simulation …, 2023 | | 2023 |
Prediction of viral spillover risk based on the mass action principle (preprint) M Golchin, M Di Marco, P Horwood, D Paini, A Hoskins, RI Hickson | | 2023 |
Estimating spillover risk through consideration of transmission processes M Golchin, A Hoskins, R Hickson The Biosecurity Collective, 2022 | | 2022 |
Machine learning-based risk prediction of pathogen richness P Rains, C Little, M Golchin, R Hickson The Australian Mathematical Society, 2022 | | 2022 |
Spillover risk estimate based on the combination of a high-risk pathogen pool and human population density M Golchin, AJ Hoskins, M Di Marco, PF Horwood, D Paini, RI Hickson Global Health Security, 2022 | | 2022 |
Predicting spillover risk: A framework linking drivers and mechanistic processes to the risk of disease emergence M Golchin, AJ Hoskins, M Di Marco, PF Horwood, D Paini, RI Hickson Elsevier, 2021 | | 2021 |
Bicluster Detection by Hyperplane Projection and Evolutionary Optimization. M Golchin, AWC Liew BIOINFORMATICS, 61-68, 2018 | | 2018 |