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Saleh Shahinfar
Saleh Shahinfar
Senior Research Scientist, Agriculture Victoria, Melbourne, Australia
Verified email at uwalumni.com - Homepage
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Cited by
Cited by
Year
“How many images do I need?” Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring
S Shahinfar, P Meek, G Falzon
Ecological Informatics 57, 101085, 2020
1402020
Prediction of insemination outcomes in Holstein dairy cattle using alternative machine learning algorithms
S Shahinfar, D Page, J Guenther, V Cabrera, P Fricke, K Weigel
Journal of dairy science 97 (2), 731-742, 2014
1322014
Prediction of breeding values for dairy cattle using artificial neural networks and neuro-fuzzy systems
S Shahinfar, H Mehrabani-Yeganeh, C Lucas, A Kalhor, M Kazemian, ...
Computational and Mathematical Methods in Medicine 2012, 2012
892012
Machine learning approaches for early prediction of adult wool growth and quality in Australian Merino sheep
S Shahinfar, L Kahn
Computers and Electronics in Agriculture 148, 72-81, 2018
322018
Prediction of sheep carcass traits from early-life records using machine learning
S Shahinfar, K Kelman, L Kahn
Computers and electronics in agriculture 156, 159-177, 2019
292019
Prediction of marbling score and carcass traits in Korean Hanwoo beef cattle using machine learning methods and synthetic minority oversampling technique
S Shahinfar, HA Al-Mamun, B Park, S Kim, C Gondro
Meat science 161, 107997, 2020
202020
Machine learning approaches for the prediction of lameness in dairy cows
S Shahinfar, M Khansefid, M Haile-Mariam, JE Pryce
Animal 15 (11), 100391, 2021
192021
Integrated decision support systems (IDSS) for dairy farming: A discussion on how to improve their sustained adoption
M Baldin, T Breunig, R Cue, A De Vries, M Doornink, J Drevenak, ...
Animals 11 (7), 2025, 2021
162021
Optimization of reproductive management programs using lift chart analysis and cost-sensitive evaluation of classification errors
S Shahinfar, JN Guenther, CD Page, AS Kalantari, VE Cabrera, PM Fricke, ...
Journal of Dairy Science 98 (6), 3717-3728, 2015
162015
Camera Trapping Technology and Related Advances: into the New Millennium
PD Meek, G Ballard, G Falzon, J Williamson, H Milne, R Farrell, J Stover, ...
Australian Zoologist 40 (3), 392-403, 2020
152020
Prediction of retention pay-off using a machine learning algorithm
S Shahinfar, AS Kalantari, V Cabrera, K Weigel
Journal of Dairy Science 97 (5), 2949-2952, 2014
132014
Comparing machine learning algorithms and linear model for detecting significant SNPs for genomic evaluation of growth traits in F2 chickens
H Bani Saadat, R Vaez Torshizi, G Manafiazar, AA Masoudi, A Ehsani, ...
Journal of Agricultural Science and Technology, 0-0, 2024
12024
A community resource to mass explore the wheat grain proteome and its application to the late-maturity alpha-amylase (LMA) problem
D Vincent, AD Bui, V Ezernieks, S Shahinfar, T Luke, D Ram, N Rigas, ...
GigaScience 12, giad084, 2023
12023
On farm validation of ASKBILL-a sheep wellbeing and productivity application for Australian industry
M Goodacre, LS Kemmis, D Paul, LP Kahn, S Shahinfar, PT Fitzgerald
Animal Production Science, 2018
12018
Identification of genes affecting growth traits in broiler chickens using machine learning methods
H Bani Saadat, R Vaez Torshizi, AA Masoudi, A Ehsani, S Shahinfar
Iranian Journal of animal Science, 2024
2024
An initial investigation into the use of machine learning methods for prediction of carcass component yields in F2 broiler chickens
HB Saadat, RV Torshizi, G Manafiazar, AA Masoudi, A Ehsani, ...
Animal Production Science 64 (4), 2024
2024
Improving accuracy and stability of genetic predictions for dairy cow survival
M Khansefid, JE Pryce, S Shahinfar, M Axford, ME Goddard, ...
Animal Production Science 63 (11), 1031-1042, 2023
2023
Finding the LMA needle in the wheat proteome haystack
D Vincent, AD Bui, V Ezernieks, S Shahinfar, T Luke, D Ram, N Rigas, ...
bioRxiv, 2023.01. 22.525108, 2023
2023
Finding the LMA needle in the wheat proteome haystack
MH Delphine Vincent, AnhDuyen Bui, Vilnis Ezernieks, Saleh Shahinfar ...
2022
Exploring machine learning approaches to predict the incidence of lameness in dairy cows.
S Shahinfar, M Khansefid, M Haile-Mariam, JE Pryce
2021
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