Artificial neural networks outperform partial least squares models for fatty acids estimation using FT-MIR spectrometry on bovine milk: a first step towards transfer learning on small ruminants


  • Cabaraux, E. , Alexakis, I. , Franceschini, S. , Christophe, O. , Grelet, C. , Calmels, M. , Lecomte, C. , Bertozzi, C. , Veselko, D. , Dehareng, F. & Soyeurt, H. (2026). Artificial neural networks outperform partial least squares models for fatty acids estimation using FT-MIR spectrometry on bovine milk: a first step towards transfer learning on small ruminants. Lecture in: ICAR Annual Conference, Verona, Italy, May 29 - June 5, 2026.
Type Audiovisual Material
Year 2026
Chapter title Artificial neural networks outperform partial least squares models for fatty acids estimation using FT-MIR spectrometry on bovine milk: a first step towards transfer learning on small ruminants
Event Name ICAR Annual Conference
Event location Verona, Italy
Date May 29 - June 5, 2026
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Auteur de la publication Cabaraux, E., Alexakis, I., Franceschini, S., Christophe, O., Grelet, C., Calmels, M., Lecomte, C., Bertozzi, C., Veselko, D., Dehareng, F., Soyeurt, H.

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