| “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 | 142 | 2020 |
| 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 | 132 | 2014 |
| 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 | 89 | 2012 |
| 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 | 32 | 2018 |
| 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 | 29 | 2019 |
| 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 | 20 | 2020 |
| 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 | 19 | 2021 |
| 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 | 16 | 2021 |
| 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 | 16 | 2015 |
| 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 | 15 | 2020 |
| 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 | 13 | 2014 |
| 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 | 1 | 2024 |
| 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 | 1 | 2023 |
| 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 | 1 | 2018 |
| 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 |
VICTOR CABRERAUniversity of Wisconsin-MadisonVerified email at wisc.edu
