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ORCIDMouad Zine El Abidine
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2020 – today
- 2024
[c4]Mouad Zine El Abidine, Helin Dutagaci, Pejman Rasti, Maria José Aranzana, Christian Dujak, David Rousseau:
Toward Objective Variety Testing Score Based on Computer Vision and Unsupervised Machine Learning: Application to Apple Shape. IMPROVE 2024: 15-22- 2023
- [j1]Mouad Zine El Abidine, Helin Dutagaci, David Rousseau:
Ordinalysis: Interpretability of multidimensional ordinal data. SoftwareX 22: 101343 (2023) - 2022
- [b1]Mouad Zine El Abidine:
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). University of Angers, France, 2022 - 2021
- [c3]Mouad Zine El Abidine, Helin Dutagaci, David Rousseau:
Dimensionality Reduction for Ordinal Classification. EUSIPCO 2021: 1531-1535 - [c2]Geoffroy Couasnet, Mouad Zine El Abidine, François Laurens, Helin Dutagaci, David Rousseau:
Machine learning meets distinctness in variety testing. ICCVW 2021: 1303-1311 - 2020
- [c1]Mouad Zine El Abidine, Sabine Merdinoglu-Wiedemann, Pejman Rasti, Helin Dutagaci, David Rousseau:
Machine Learning-Based Classification of Powdery Mildew Severity on Melon Leaves. ICISP 2020: 74-81 - [i1]Mouad Zine El Abidine, Helin Dutagaci, Gilles Galopin, David Rousseau:
Assigning Apples to Individual Trees in Dense Orchards using 3D Color Point Clouds. CoRR abs/2012.13721 (2020)
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last updated on 2024-05-29 21:33 CEST by the dblp team
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