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Oualid Laiadi
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2020 – today
- 2022
- [j5]Issam Serraoui, Oualid Laiadi
, Abdelmalik Ouamane, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Knowledge-based tensor subspace analysis system for kinship verification. Neural Networks 151: 222-237 (2022) - 2021
- [b1]Oualid Laiadi:
Kinship verification between two people by machine learning. (Vérification de la parenté entre deux personnes par aprentissage automatique). Polytechnic University of Hauts-de-France, France, 2021 - [j4]Oualid Laiadi
, Abdelmalik Ouamane, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
A weighted exponential discriminant analysis through side-information for face and kinship verification using statistical binarized image features. Int. J. Mach. Learn. Cybern. 12(1): 171-185 (2021) - 2020
- [j3]Oualid Laiadi
, Abdelmalik Ouamane, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
Tensor cross-view quadratic discriminant analysis for kinship verification in the wild. Neurocomputing 377: 286-300 (2020) - [c2]Oualid Laiadi
, Abdelmalik Ouamane, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
Multi-view Deep Features for Robust Facial Kinship Verification. FG 2020: 877-881 - [i1]Oualid Laiadi, Abdelmalik Ouamane, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
Multi-view Deep Features for Robust Facial Kinship Verification. CoRR abs/2006.01315 (2020)
2010 – 2019
- 2019
- [j2]Oualid Laiadi
, Abdelmalik Ouamane, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
Learning multi-view deep and shallow features through new discriminative subspace for bi-subject and tri-subject kinship verification. Appl. Intell. 49(11): 3894-3908 (2019) - [j1]Oualid Laiadi
, Abdelmalik Ouamane, Elhocine Boutellaa, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
Kinship verification from face images in discriminative subspaces of color components. Multim. Tools Appl. 78(12): 16465-16487 (2019) - [c1]Oualid Laiadi
, Abdelmalik Ouamane, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
Kinship Verification based Deep and Tensor Features through Extreme Learning Machine. FG 2019: 1-4
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