Automatic detection and classification of manufacturing defects in metal boxes using deep neural networks von Essid, Oumayma, Laga, Hamid, Samir, Chafik

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A Constructive Approximation of Interpolating Bézier Curves on Riemannian Symmetric Spaces von Adouani, Ines, Samir, Chafik

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Cubic Hermite interpolators on the space of probability measures von Adouani, Ines, Samir, Chafik, Tran, Tien Tam

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Numerical algorithms for spline interpolation on space of probability density functions von Adouani, Ines, Samir, Chafik

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Bézier Splines Interpolation on Stiefel and Grassmann Manifolds von Samir, Chafik, Adouani, Ines

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Numerical algorithms for Spline Interpolation on Space of Probability Density Functions: Manifold of Probability Density Functions von Adouani, Ines, Samir, Chafik

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The contribution of reduced COVID-19 test time in controlling the spread of the disease: A simulation-based approach von Frichi, Youness, Kacem, Abderrahmane B., Jawab, Fouad, Boutahari, Said, Kamach, Oualid, Chafik, Samir

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Coordinate descent optimization for one-to-one correspondence and supervised classification of 3D shapes von Samir, Chafik, Huang, Wen

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C1 interpolating Bézier path on Riemannian manifolds, with applications to 3D shape space von Samir, Chafik, Adouani, Ines

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C1 interpolating Bézier path on Riemannian manifolds, with applications to 3D shape space: Regression on Riemannian manifolds von Samir, Chafik, Adouani, Ines

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A New Bayesian Approach to Global Optimization on Parametrized Surfaces in $$\mathbb {R}^{3} von Fradi, Anis, Samir, Chafik, Adouani, Ines

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A New Bayesian Approach to Global Optimization on Parametrized Surfaces in R3 von Fradi, Anis, Samir, Chafik, Adouani, Ines

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Regression and Fitting on Manifold-valued Data von Adouani, Ines, Samir, Chafik

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Learning, inference, and prediction on probability density functions with constrained Gaussian processes von Tran, Tien-Tam, Fradi, Anis, Samir, Chafik

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An Optimization Method for Accurate Nonparametric Regressions on Stiefel Manifolds von Adouani, Ines, Samir, Chafik

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A scalable Matérn Gaussian process for learning spatial curves distributions von Tran, Tam Tien, Feunteun, Yan, Samir, Chafik, Braga, José

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A scalable Matérn Gaussian process for learning spatial curves distributions von Tran, Tam Tien, Feunteun, Yan, Samir, Chafik, Braga, José

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Automatic Detection and Classification of Manufacturing Defects in Metal Boxes von Essid, O. M., Samir, Chafik, Hamid, Laga

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Learning and Regression on the Grassmannian von Fradi, Anis, Samir, Chafik

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A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data von Fradi, Anis, Samir, Chafik

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