Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Matthieu Salamone

Faculty of Veterinary Medicine > Department of Internal Medicine, Reproduction and Population Medicine

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- Journal Article
- A1
- open access
Milk yield residuals and their link with the metabolic status of dairy cows in the transition period

Matthieu Salamone (UGent) , Ines Adriaens (UGent) , Arno Liseune, Stijn Heirbaut (UGent) , Xiaoping Jing, Veerle Fievez (UGent) , L. Vandaele, Geert Opsomer (UGent) , Miel Hostens (UGent) and B. Aernouts

(2024) JOURNAL OF DAIRY SCIENCE. 107(1). p.317-330
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- Conference Paper
- C3
Residual milk based on historic data, a new possibility to evaluate the transition succes

Matthieu Salamone (UGent) , Ines Adriaens, Geert Opsomer (UGent) , Stijn Heirbaut (UGent) , Veerle Fievez (UGent) , Miel Hostens (UGent) and Ben Aernouts

(2022) BuiatrIE-net congres 2022, Abstracts.
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- Journal Article
- A1
- open access
Prediction of first test day milk yield using historical records in dairy cows

Matthieu Salamone (UGent) , I. Adriaens, Andy Vervaet (UGent) , Geert Opsomer (UGent) , H. Atashi, Veerle Fievez (UGent) , B. Aernouts and Miel Hostens (UGent)

(2022) ANIMAL. 16(11).
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- Journal Article
- A1
- open access
Unaffected semen quality parameters in Neospora caninum seropositive Belgian Blue bulls

Celien Kemel (UGent) , Matthieu Salamone (UGent) , Hans Van Loo (UGent) , C. Latour, S. Vandeputte, J. Callens, Miel Hostens (UGent) and Geert Opsomer (UGent)

(2022) THERIOGENOLOGY. 191. p.10-15
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Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning

Arno Liseune, Matthieu Salamone (UGent) , Dirk Van den Poel (UGent) , Bonifacius Van Ranst (UGent) and Miel Hostens (UGent)

(2021) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 180.
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Leveraging latent representations for milk yield prediction and interpolation using deep learning

Arno Liseune, Matthieu Salamone (UGent) , Dirk Van den Poel (UGent) , Bonifacius Van Ranst (UGent) and Miel Hostens (UGent)

(2020) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 175.