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Sébastien Franceschini

Observed names: Franceschini, Sébastien, S. Franceschini, Sebastien Franceschini
ORCID: 0000-0001-6298-5149
Observed ORCID: 0000-0001-6298-5149
OpenAlex ID: A5035704736
Identification of chronic stress biomarkers in dairy cows
2022 · Clément Grelet, Virginie Vanden Dries, et al. · animal · 55
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Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?
2022 · S. Franceschini, C. Grelet, et al. · Journal of Dairy Science · 25
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limpca: An R package for the linear modeling of high‐dimensional designed data based on ASCA/APCA family of methods
2023 · Michel Thiel, Nadia Benaiche, et al. · Journal of Chemometrics · 15
Not all roads are barriers: Large mammals use logging roads in a timber concession of south-eastern Cameroon
2023 · Morgane Scalbert, Quentin Stiernon, et al. · Forest Ecology and Management · 14
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Exploring the relationship between predicted negative energy balance and its biomarkers of Holstein cows in first-parity early lactation
2025 · Hongqing Hu, Sébastien Franceschini, et al. · Journal of Dairy Science · 10
Prediction of Indirect Indicators of a Grass-Based Diet by Milk Fourier Transform Mid-Infrared Spectroscopy to Assess the Feeding Typologies of Dairy Farms
2022 · Hélène Soyeurt, Cyprien Gerards, et al. · Animals · 9
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Detection of Dairy Herd Management Issues Using Fatty Acid Profiles Predicted by Mid-Infrared Spectrometry
2025 · Sébastien Franceschini, Claire Fastré, et al. · Animals · 6
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Hidden Markov Models (HMM)
2019 · Sébastien Franceschini · Open Repository and Bibliography (University of Liège) · 6
A Computer Vision Pipeline for Individual-Level Behavior Analysis: Benchmarking on the Edinburgh Pig Dataset
2025 · Haiyu Yang, Enhong Liu, et al. · SSRN Electronic Journal · 3
Using single-step genome-wide association analyses to compare predicted negative energy balance and a novel energy deficiency score in early-lactation Holstein cows
2025 · Hongqing Hu, Hadi Atashi, et al. · JDS Communications · 2
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Consumer acceptance of entomophagy in Belgium: insect-based food appropriateness and influence of personal factors
2024 · L. Detilleux, T. Dogot, et al. · Journal of Insects as Food and Feed · 2
Rapid selection of milk mid-infrared spectra for creating a dairy cow population world representative spectral database
2024 · H. Soyeurt, S. Franceschini, et al. · Journal of Dairy Science · 2
Assessing the reproducibility of Fourier-transform mid-infrared–derived biomarker clusters across lactations and their direct prediction from milk spectra
2026 · S. Franceschini, S. Czaplicki, et al. · JDS Communications · 1
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Détection de profil de santé grâce à l'apprentissage non supervisé dans des bases de données à grande échelle issues de l'analyse spectrale du lait par moyen infrarouge
2026 · Franceschini, Sébastien · ORBi (University of Liège)
A data-driven physiological profile classification for dairy cows using milk mid-infrared spectra and machine learning
2026 · Y. Chen, H. Atashi, et al. · Journal of Dairy Science
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A modular open-source computer vision pipeline enables individual-level behavior analysis of group-housed pigs
2026 · Haiyu Yang, Enhong Liu, et al. · Scientific Reports
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SuppMat1_StatDesc_v2.pdf
2026 · Franceschini, Sébastien · Figshare
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.
2026 · Cabaraux, Elisabeth, Alexakis, Ioannis, et al. · ORBi (University of Liège)
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Reconstructing representative daily Fourier transform mid-infrared milk spectra from partial milking robot samples using machine learning
2026 · Sneessens, Claire, Paquet, Justin, et al. · ORBi (University of Liège)
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Comparing the genetic architecture of energy balance predicted by mid-infrared spectrometry, a novel energy deficiency score, and several biomarkers
2025 · Hongqing Hu, Sébastien Franceschini, et al. · Journal of Dairy Science
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Harvesting Insights from the Sky: Satellite-Powered Automation for Detecting Mowing Based on Predicted Compressed Sward Heights
2024 · Killian Dichou, Charles Nickmilder, et al. · Applied Sciences
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Author response for "limpca: an R package for the linear modeling of high‐dimensional designed data based on ASCA/APCA family of methods"
2023 · Michel Thie, Nadia Benaiche, et al. · Publons reviews and discussion
Author response for "limpca: an R package for the linear modeling of high‐dimensional designed data based on ASCA/APCA family of methods"
2022 · Michel Thie, Nadia Benaiche, et al. · Publons reviews and discussion
LMWiRe: an R package for linear modelling of wide responses based on ASCA family of methods.
2022 · Michel Thiel, Nadia Benaiche, et al.
Developing new quantitative traits related to animal health status using a holistic Big Data Approach
2021 · Sébastien Franceschini, Grelet, et al. · Open Repository and Bibliography (University of Liège)
Works count: 39
Citation count: 157
H-index: 7
I10-index: 5
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