Miel Hostens

According to our database, Miel Hostens authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Lightweight Distillation of SAM 3 and DINOv3 for Edge-Deployable Individual-Level Livestock Monitoring and Longitudinal Visual Analytics.

Haiyu Yang, Miel Hostens

CoRR, April, 2026

Exploring parameter-efficient fine-tuning (PEFT) of billion-parameter vision models with QLoRA and DoRA: insights into generalization for limited-data image classification under a 98:1 test-to-train regime.

Haiyu Yang, Sumit Sharma, Enhong Liu, Miel Hostens

CoRR, March, 2026

From Manual Observation to Automated Monitoring: Space Allowance Effects on Play Behaviour in Group-Housed Dairy Calves.

Haiyu Yang, Heidi Lesscher, Enhong Liu, Miel Hostens

CoRR, February, 2026

2025

Evaluating Small Language Models for Agentic On-Farm Decision Support Systems.

Enhong Liu, Haiyu Yang, Miel Hostens

CoRR, December, 2025

A Computer Vision Pipeline for Individual-Level Behavior Analysis: Benchmarking on the Edinburgh Pig Dataset.

Haiyu Yang, Enhong Liu, Jennifer Sun, Sumit Sharma, Meike van Leerdam, Sebastien Franceschini, Puchun Niu, Miel Hostens

CoRR, September, 2025

Corrigendum to "A predictive model for hypocalcaemia in dairy cows utilizing behavioural sensor data combined with deep learning" [Comput. Electron. Agric. 220 (2024) 108877].

Meike van Leerdam, Peter R. Hut, Arno Liseune, Elena Slavco, Jan Hulsen, Miel Hostens

Comput. Electron. Agric., 2025

2024

A predictive model for hypocalcaemia in dairy cows utilizing behavioural sensor data combined with deep learning.

Meike van Leerdam, Peter R. Hut, Arno Liseune, Elena Slavco, Jan Hulsen, Miel Hostens

Comput. Electron. Agric., 2024

2022

Infection Transmission Ontology: Standardization of Infection Transmission Data.

Elena Slavco, Martine de Vos, Miel Hostens, Jan L. Top, Egil A. J. Fischer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning.

Arno Liseune, Matthieu Salamone, Dirk Van den Poel, Bonifacius Van Ranst, Miel Hostens

Comput. Electron. Agric., 2021

Leveraging sequential information from multivariate behavioral sensor data to predict the moment of calving in dairy cattle using deep learning.

Arno Liseune, Dirk Van den Poel, Peter R. Hut, Frank J. C. M. van Eerdenburg, Miel Hostens

Comput. Electron. Agric., 2021

2020

Leveraging latent representations for milk yield prediction and interpolation using deep learning.

Arno Liseune, Matthieu Salamone, Dirk Van den Poel, Bonifacius Van Ranst, Miel Hostens

Comput. Electron. Agric., 2020