Convolutional neural networks and temporal CNNs for COVID-19 forecasting in France. - Lucas Mohimont; Amine Chemchem; François Alin; Michaël Krajecki; Luiz Angelo Steffenel (Appl. Intell., 2021)

Traitement d'Images et Apprentissage Automatique pour la Viticulture de Précision. - Lucas Mohimont; Amine Chemchem; Marine Rondeau; Mathias Roesler; François Alin; Nathalie Gaveau; Luiz Angelo Steffenel (Rev. Ouverte Intell. Artif., 2021)

Lite CNN Models for Real-Time Post-Harvest Grape Disease Detection. - Lucas Mohimont; François Alin; Nathalie Gaveau; Luiz Angelo Steffenel (Intelligent Environments (Workshops), 2022)

Applying Knowledge Distillation on Pre-Trained Model for Early Grapevine Detection. - Lilian Hollard; Lucas Mohimont (Intelligent Environments (Workshops), 2023)

Deep Learning for Post-Harvest Grape Diseases Detection. - Lucas Mohimont (Intelligent Environments (Workshops), 2023)

Preface to the Proceedings of the 2nd International Workshop on Edge AI for Smart Agriculture (EAISA'23). - Luiz Angelo Steffenel; Nathalie Gaveau; Lucas Mohimont; Marine Rondeau (Intelligent Environments (Workshops), 2023)

Estimation du Rendement du Mil Perlé (Pennisetum glaucum) par Machine Learning à l'aide d'Images Satellites. - Amine Chemchem; Lucas Mohimont; François Alin; Luiz Angelo Steffenel (APIA, 2024)

Improving Edge-AI Image Classification Through the Use of Better Building Blocks. - Lucas Mohimont; Lilian Hollard; Luiz Angelo Steffenel (CLOSER, 2024)

LeYOLO, New Scalable and Efficient CNN Architecture for Object Detection. - Lilian Hollard; Lucas Mohimont; Nathalie Gaveau; Luiz Angelo Steffenel (CoRR, 2024)

Exploring Superposition and Interference in State-of-the-Art Low-Parameter Vision Models. - Lilian Hollard; Lucas Mohimont; Nathalie Gaveau; Luiz Angelo Steffenel (CoRR, 2025)