Lucile Riaboff

Publications

Article dans une revue (7)

Les technologies numériques en élevage : de la mesure à l’évaluation comportementale du bien-être de chaque animal Masoomeh Taghipoor,Aurélien Madouasse,Mathieu Bonneau,Romain Lardy,Dominique Hazardet al. INRAE Productions Animales, 2025, 38 (4), pp.8324. ⟨10.20870/productions-animales.2025.38.4.8324⟩ Article dans une revue hal-05444004v1
Hierarchical Long Short Term Memory Recurrent Neural Network for Goats Behaviour Prediction from Accelerometer Data Mathieu Bonneau,Laura Faillot,Willy Troupe,Lucile Riaboff Smart Agricultural Technology, 2025, 11 (101045), pp.101045. ⟨10.1016/j.atech.2025.101045⟩ Article dans une revue hal-05089855v1
ActBeCalf: Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification Oshana Iddi Dissanayake,Sarah E Mcpherson,Joseph Allyndrée,Emer Kennedy,Pádraig Cunninghamet al. Data in Brief, 2025, 60, pp.111462. ⟨10.1016/j.dib.2025.111462⟩ Article dans une revue (data paper) hal-04999612v2
Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning models Oshana Dissanayake,Sarah E. Mcpherson,Joseph Allyndrée,Emer Kennedy,Padraig Cunninghamet al. Computers and Electronics in Agriculture, 2025, 238, pp.110799. ⟨10.1016/j.compag.2025.110799⟩ Article dans une revue hal-04622072v2
Classifying active and inactive states of growing rabbits from accelerometer data using machine learning algorithms Mónica Mora,Lucile Riaboff,Ingrid David,Juan Pablo Sánchez,Miriam Piles Smart Agricultural Technology, 2024, 9, pp.100675. ⟨10.1016/j.atech.2024.100675⟩ Article dans une revue hal-04621966v3
Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data Lucile Riaboff,Laurence Shalloo,Alan F. Smeaton,Sébastien Couvreur,Aurélien Madouasseet al. Computers and Electronics in Agriculture, 2022, 192, pp.106610. ⟨10.1016/j.compag.2021.106610⟩ Article dans une revue hal-03551089v1
Development of a methodological framework for a robust prediction of the main behaviours of dairy cows using a combination of machine learning algorithms on accelerometer data Lucile Riaboff,Sylvain Poggi,Aurélien Madouasse,Sébastien Couvreur,Sébastien Aubinet al. Computers and Electronics in Agriculture, 2020, 169, pp.105179. ⟨10.1016/j.compag.2019.105179⟩ Article dans une revue hal-02453497v1