Machine Learning-Based Classification of Powdery Mildew Severity on Melon Leaves. - Mouad Zine El Abidine; Sabine Merdinoglu-Wiedemann; Pejman Rasti; Helin Dutagaci; David Rousseau (ICISP, 2020)

Assigning Apples to Individual Trees in Dense Orchards using 3D Color Point Clouds. - Mouad Zine El Abidine; Helin Dutagaci; Gilles Galopin; David Rousseau (CoRR, 2020)

Dimensionality Reduction for Ordinal Classification. - Mouad Zine El Abidine; Helin Dutagaci; David Rousseau (EUSIPCO, 2021)

Machine learning meets distinctness in variety testing. - Geoffroy Couasnet; Mouad Zine El Abidine; François Laurens; Helin Dutagaci; David Rousseau (ICCVW, 2021)

Contributions to computer vision and machine learning for plant variety testing. (Contributions à la vision par ordinateur et à l'apprentissage automatique pour les tests des variétés végétales). - Mouad Zine El Abidine (2022)

Ordinalysis: Interpretability of multidimensional ordinal data. - Mouad Zine El Abidine; Helin Dutagaci; David Rousseau (SoftwareX, 2023)

Toward Objective Variety Testing Score Based on Computer Vision and Unsupervised Machine Learning: Application to Apple Shape. - Mouad Zine El Abidine; Helin Dutagaci; Pejman Rasti; Maria José Aranzana; Christian Dujak; David Rousseau (IMPROVE, 2024)