  | Hu, H., Franceschini, S., Lemal, P., Grelet, C., Chen, Y., Atashi, H., Wijnrocx, K., Soyeurt, H., & Gengler, N. (May 2025). Exploring the relationship between predicted negative energy balance and its biomarkers of Holstein cows in first-parity early lactation. Journal of Dairy Science, 108 (5), 5433 - 5447. doi:10.3168/jds.2024-25932  Peer Reviewed verified by ORBi |
  | Detilleux, L., Dogot, T., Franceschini, S., Francis, F., & Caparros Megido, R. (2025). Consumer acceptance of entomophagy in Belgium: insect-based food appropriateness and influence of personal factors. Journal of Insects as Food and Feed, 11 (6), 965-972. doi:10.1163/23524588-00001244 Peer Reviewed verified by ORBi |
 | Alexakis, I., Nickmilder, C., Franceschini, S., Leblois, J., Wolf, V., HoliCow Consortium, & Soyeurt, H. (2025). Incremental hierarchical clustering for pattern discovery to optimize on-farm milk processing [Paper presentation]. EAAP conference: Artificial Intelligence 4 Animal Science, Zurich, Switzerland. Peer reviewed |
 | Franceschini, S., Fastré, C., Nickmilder, C., Santschi, D. E., Warner, D., Bahadi, M., Bertozzi, C., Veselko, D., Dehareng, F., Gengler, N., & Soyeurt, H. (2025). Detection of Dairy Herd Management Issues Using Fatty Acid Profiles Predicted by Mid-Infrared Spectrometry. Animals, 15 (11). doi:10.3390/ani15111575 Peer reviewed |
Wilmot, H., Franceschini, S., Gengler, N., Nickmilder, C., & Soyeurt, H. (03 September 2024). Characterization of Dual-Purpose Blue milk compared to Holstein milk based on mid-infrared spectrometry [Poster presentation]. 75th EAAP Annual Meeting, Florence, Italy. Editorial reviewed |
 | Hu, H.* , Atashi, H., Grelet, C., Wijnrocx, K., Franceschini, S., Soyeurt, H., & Gengler, N. (01 September 2024). Genetic analysis of predicted negative energy balance and its biomarkers of first-parity Holstein cows in early lactation [Poster presentation]. The 75th EAAP Annual Meeting, Florence, Italy. Peer reviewed |
 | Wilmot, H., Franceschini, S., Gengler, N., Nickmilder, C., & Soyeurt, H. (June 2024). Estimation of the scope of milk prediction equations for new breeds by selection of representative spectra and comparison of spectral variability [Poster presentation]. ADSA 2024 Annual Meeting, West Palm Beach, United States. Editorial reviewed |
 | Dichou, K.* , Nickmilder, C.* , Tedde, A., Franceschini, S., Brostaux, Y., Dufrasne, I., Lessire, F., Glesner, N., & Soyeurt, H. (26 February 2024). Harvesting Insights from the Sky: Satellite-Powered Automation for Detecting Mowing Based on Predicted Compressed Sward Heights. Applied Sciences, 14 (5), 1923. doi:10.3390/app14051923 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Soyeurt, H., Franceschini, S., Bahadi, M., Leblois, J., Brostaux, Y., Dehareng, F., Frizzarin, M., Tiplady, K., Dale, L., & Nickmilder, C. (2024). Rapid selection of milk mid-infrared spectra for creating a dairy cow population world representative spectral database. Journal of Dairy Science, 107 (11), 9572 - 9581. doi:10.3168/jds.2024-24911 Peer Reviewed verified by ORBi |
 | Franceschini, S., Gengler, N., & Soyeurt, H. (2024). Combining high throughput phenotypes to study complex traits: A case-study of negative energy balance using milk mid-infrared based predictions [Paper presentation]. 1st meeting European Network on Livestock Phenomics. |
 | Franceschini, S., Fastré, C., Nickmilder, C., Santschi, D., Warner, D., Bahadi, M., Bertozzi, C., Veselko, D., Dehareng, F., Gengler, N., & Soyeurt, H. (2024). From MIR predicted fatty acids on bulk tank milk to a health monitoring tool for farmer [Paper presentation]. 75th annual meeting of the European Association for Animal Production, Florence, Italy. Peer reviewed |
 | Scalbert, M., Stiernon, Q., Franceschini, S., Vermeulen, C., Brostaux, Y., Ngwet, R., & Doucet, J.-L. (2023). Not all roads are barriers: Large mammals use logging roads in a timber concession of south-eastern Cameroon. Forest Ecology and Management. doi:10.1016/j.foreco.2023.120910 Peer Reviewed verified by ORBi |
 | Simon, H., Grelet, C., Franceschini, S., Soyeurt, H., Leblois, J., Jattion, M., Lecomte, C., Reding, R., Wavreille, J., Strang, E., Auer, F.-J., & Dehareng, F. (2023). Large-scale analysis of chronic stress in dairy cows using hair cortisol and blood fructosamine [Paper presentation]. EAAP 2023, Lyon, France. Editorial reviewed |
 | Franceschini, S., Calmels, M., Grelet, C., Leblois, J., Brostaux, Y., HappyMoo Consortium, & Soyeurt, H. (2023). What is the best modelling approach to predict skewed distributed health biomarkers from MIR, a case study with the Haptoglobin in milk? [Paper presentation]. 46th ICAR Annual Conference, Tolède, Spain. Peer reviewed |
 | Soyeurt, H., Gerards, C., Nickmilder, C., Bindelle, J., Franceschini, S., Dehareng, F., Veselko, D., Bertozzi, C., Gengler, N., Marvuglia, A., Bayram, A., & Tedde, A. (04 October 2022). Prediction of Indirect Indicators of a Grass-Based Diet by Milk Fourier Transform Mid-Infrared Spectroscopy to Assess the Feeding Typologies of Dairy Farms. Animals, 12 (19), 2663. doi:10.3390/ani12192663 Peer reviewed |
Soyeurt, H., Nickmilder, C., Franceschini, S., Dehareng, F., Veselko, D., Bertozzi, C., Bindelle, J., Gengler, N., Marvuglia, A., Bayram, A., & Tedde, A. (06 September 2022). Indirect prediction of grass-based diet from milk MIR traits to assess the feeding typology of farms [Paper presentation]. 73rd EAAP annual meeting, Porto, Portugal. Peer reviewed |
Franceschini, S., Grelet, C., Leblois, J., Gengler, N., & Soyeurt, H. (September 2022). Development of a monitoring tool for metabolic imbalance issues based on Milk Recording data [Poster presentation]. 73rd EAAP annual meeting, Porto, Portugal. Peer reviewed |
 | Franceschini, S., Grelet, C., Leblois, J., Gengler, N., Soyeurt, H., & GplusE consortium. (August 2022). Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health? Journal of Dairy Science, 105 (8), 6760 - 6772. doi:10.3168/jds.2022-21975 Peer Reviewed verified by ORBi |
Tedde, A., Soyeurt, H., Nickmilder, C., Bindelle, J., Franceschini, S., Dehareng, F., Veselko, D., Bertozzi, C., Gengler, N., Marvuglia, A., & Bayram, A. (27 April 2022). Grazing detection of dairy cows through milk mid-infrared spectrometry analysis using unsupervised clustering of months as proxies [Paper presentation]. Dair'innov, Namur, Belgium. Peer reviewed |
 | Franceschini, S., Grelet, C., Leblois, J., Gengler, N., & Soyeurt, H. (27 April 2022). A new approach for data processing of Milk Recording data using unsupervised learning [Paper presentation]. Dair'Innov 2022, Namur, Belgium. Peer reviewed |
 | Grelet, C., Vanden Dries, V., Leblois, J., Wavreille, J., Mirabito, L., Soyeurt, H., Franceschini, S., Gengler, N., Brostaux, Y., HappyMoo Consortium, & Dehareng, F. (13 April 2022). Identification of chronic stress biomarkers in dairy cows. Animal, 16 (5), 100502. doi:10.1016/j.animal.2022.100502 Peer Reviewed verified by ORBi |
 | Franceschini, S., Grelet, C., Bertozzi, C., HappyMoo Consortium, GplusE Consortium, Gengler, N., & Soyeurt, H. (September 2021). Developing new quantitative traits related to animal health status using a holistic Big Data Approach [Paper presentation]. 72nd Annual Meeting of the European Federation of Animal Science in Davos, Davos, Switzerland. |
 | Franceschini, S., Leblois, J., Lepot, F., Vanderick, S., Bertozzi, C., Soyeurt, H., & Gengler, N. (June 2020). Assessing animal welfare: Deriving individual welfare phenotypes from existing milk recording data [Poster presentation]. ADSA Virtual Annual Meeting 2020, West Palm Beach - FL, United States. |
 | Franceschini, S. (02 December 2019). Hidden Markov Models (HMM) [Paper presentation]. 2nd HappyMoo Scientific Meeting - Machine Learning Workshop, Namur, Belgium. |
