SAMIR - Chafik

Toutes les publications (45)
Date/Type Titre/URL/journal Domaines Notes SJR/Core Cit. GScholar
2025
ART
Anis Fradi, Tien-Tam Tran, Chafik Samir
Decomposed Gaussian Processes for Efficient Regression Models with Low Complexity
Entropy - 2025
Maths
2025
COMM
Achref Ouni, Chafik Samir, Yousef Bouaziz, Anis Fradi
ConvKAN: Towards Robust, High-Performance and Interpretable Image Classification
20th International Conference on Computer Vision Theory and Applications - 2025
2025
ART
Roxane Jouseau, Sébastien Salva, C. Samir
A New Metric for Measuring the Intrinsic Quality in Data Collected for Quantitative Classification
Lecture Notes in Artificial Intelligence - 2025
2025
ART
Tien Tam Tran, Ines Adouani, Chafik Samir
Computing regularized splines in the Riemannian manifold of probability measures
ESAIM: Mathematical Modelling and Numerical Analysis - 2025
Maths
2024
COMM
Anis Fradi, Chafik Samir
A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data
ECML PKDD - 2024
Statistiques
2024
ART
Anis Fradi, Chafik Samir, Ines Adouani
A New Bayesian Approach to Global Optimization on Parametrized Surfaces in $\mathbb {R}^{3}$
Journal of Optimization Theory and Applications - 2024
Statistiques
2024
COMM
Amal Omrani, Anis Fradi, Chafik Samir
Reduced run-time and memory complexity regression with a Gaussian process prior
JDS - 2024
Statistiques
2024
COMM
Jouseau Roxane, Sébastien Salva, C. Samir
A Novel Metric for Measuring Data Quality in Classification Applications
16th International Conference on Agents and Artificial Intelligence - 2024
Informatique/Intelligence artificielle
2023
PROCEEDINGS
Anis Fradi, Chafik Samir, José Braga
A Shrinkage Method for Learning, Registering and Clustering Shapes of Curves
Statistiques
2023
COMM
Anis Fradi, Chafik Samir, José Braga
Learning and inferring on Cochlear Shapes of Juvenile and Adult Fossil Hominins
International conference on artificIAl Intelligence and applied MAthematics for History and Archaeology - 2023
Statistiques
2023
PROCEEDINGS
Anis Fradi, Chafik Samir
Learning and Regression on the Grassmannian
Statistiques
2023
COMM
Anis Fradi, Chafik Samir
A New Framework for Classifying Probability Density Functions
ECML - 2023
Informatique/Intelligence artificielle
2023
PROCEEDINGS
Anis Fradi, Chafik Samir
A New Framework for Classifying Probability Density Functions
Statistiques
2023
ART
Tien-Tam Tran, Anis Fradi, Chafik Samir
Learning, inference, and prediction on probability density functions with constrained gaussian processes
Information Sciences - 2023
Statistiques
2023
ART
Ines Adouani, Chafik Samir
Numerical algorithms for Spline Interpolation on Space of Probability Density Functions
Journal of Computational and Applied Mathematics - 2023
Maths
2023
ART
Chafik Samir, Ines Adouani
Bézier Splines Interpolation on Stiefel and Grassmann Manifolds
Journal of Computational and Applied Mathematics - 2023
Maths
2022
ART
Anis Fradi, Chafik Samir, François Bachoc
A scalable approximate Bayesian inference for high-dimensional Gaussian processes
Communications in Statistics - Theory and Methods - 2022
Statistiques
2022
COMM
Roxane Jouseau, Sébastien Salva, Chafik Samir
On Studying the Effect of Data Quality on Classification Performances
Intelligent Data Engineering and Automated Learning - {IDEAL} 2022 - 2022
Informatique/Intelligence artificielle
2022
COMM
Roxane Jouseau, Chafik Samir, Sébastien Salva
Data quality in the context of classification tasks
38èmes journées de la conférence BDA « Gestion de Données – Principes, Technologies et Applications - 2022
Informatique/Apprentissage
2022
ART
Tam Tien Tran, Yan Feunteun, Chafik Samir, José Braga
A scalable Matérn Gaussian process for learning spatial curves distributions
Information Sciences - 2022
Informatique/Intelligence artificielle
2022
COMM
Ines Adouani, Chafik Samir
An Optimization Method for Accurate Nonparametric Regressions on Stiefel Manifolds
Machine Learning, Optimization, and Data Science - 2022
Informatique/Intelligence artificielle
2022
ART
Anis Fradi, Chafik Samir, José Braga, Shantanu Joshi, Jean-Michel Loubes
Nonparametric Bayesian Regression and Classification on Manifolds, With Applications to 3D Cochlear Shapes
IEEE Transactions on Image Processing - 2022
Statistiques
2021
POSTER
Clio Der Sarkissian, Jakob Thyrring, Xavier Mata, Jean Dumoncel, Sarah Ivorra, Allowen Evin, Ludovic Orlando, Chafik Samir, José Braga
Advancing Ancient Mollusk Shells as Multi-Proxy Archives of the Past
Sciences du vivant
2021
PROCEEDINGS
Anis Fradi, Ines Adouani, Chafik Samir
Bayesian Inference on Local Distributions of Functions and Multidimensional Curves with Spherical HMC Sampling
Statistiques
2021
POSTER
Clio Der Sarkissian, Jakob Thyrring, Xavier Mata, Jean Dumoncel, Sarah Ivorra, Allowen Evin, Ludovic Orlando, Chafik Samir, José Braga
Advancing Ancient Mollusk Shells as Multi-Proxy Archives of the Past
Sciences du vivant
2021
OUV
Philippe Lacomme, Gérard Fleury, Matthieu Gondran, Chafik Samir
Découverte du Machine Learning - Les outils de l'apprentissage automatique
Informatique/Intelligence artificielle
2021
ART
Thomas Deregnaucourt, Chafik Samir, Sebastian Kurtek, Anne-Francoise Yao
Shape-constrained Gaussian process regression for surface reconstruction and multimodal, non-rigid image registration
Journal of Applied Statistics - 2021
Statistiques
2021
ART
Anis Fradi, Y. Feunteun, Chafik Samir, M. Bakloul, François Bachoc, Jean-Michel Loubes
Bayesian Regression and Classification Using Gaussian Process Priors Indexed by Probability Density Functions
Information Sciences - 2021
Informatique/Intelligence artificielle
2021
ART
Chafik Samir, Wen Huang
Coordinate descent optimization for one-to-one correspondence and supervised classification of 3D shapes
Applied Mathematics and Computation - 2021
Informatique/Intelligence artificielle
2021
ART
J. Braga, C. Samir, Anis Fradi, Yann Feunteun, K. Jakata, V. Zimmer, B. Zipfel, J. Thackeray, M. Macé, B. A. Wood, F. Grine
Cochlear shape distinguishes southern African early hominin taxa with unique auditory ecologies
Scientific Reports - 2021
Planetes et univers
2020
ART
Anis Fradi, Chafik Samir
Bayesian cluster analysis for registration and clustering homogeneous subgroups in multidimensional functional data
Communications in Statistics - Theory and Methods - 2020
Statistiques
2020
ART
Ines Adouani, Chafik Samir
A Constructive Approximation of Interpolating Bézier Curves on Riemannian Symmetric Spaces
Journal of Optimization Theory and Applications - 2020
Informatique/Intelligence artificielle
2019
COMM
Chafik Samir, Ines Adouani
Bézier curves and C2 interpolation in Riemannian Symmetric Spaces
4th International Conference on Geometric Science of Information - 2019
Informatique/Intelligence artificielle
2019
ART
I. Conforto, Chafik Samir, F. Chausse, A. A Goldstein, B. Pereira, E. Coudeyre
Comparison of psychometric properties between the Labin, a new electronic dynamometer, and the Jamar: Preliminary results in healthy subjects
Hand Surgery and Rehabilitation - 2019
Informatique/Intelligence artificielle
2019
ART
Chafik Samir, Ines Adouani
C1 interpolating Bézier path on Riemannian manifolds, with applications to 3D shape space
Applied Mathematics and Computation - 2019
Maths
2019
ART
José Braga, Veronika Zimmer, Jean Dumoncel, Chafik Samir, Frikkie de Beer, Clément Zanolli, Deborah Pinto, F. James Rohlf, Frederick Grine
Efficacy of diffeomorphic surface matching and 3D geometric morphometrics for taxonomic discrimination of Early Pleistocene hominin mandibular molars
Journal of Human Evolution - 2019
Maths
2019
ART
José Braga, Veronika Zimmer, Jean Dumoncel, Chafik Samir, Frikkie de Beer, Clément Zanolli, Deborah Pinto, F James Rohlf, Frederick E Grine
Efficacy of diffeomorphic surface matching and 3D geometric morphometrics for taxonomic discrimination of Early Pleistocene hominin mandibular molars
Journal of Human Evolution - 2019
Sciences de l'homme et de la societe
2018
COMM
A. Elkhoumri, Chafik Samir, J. Laasiri
A new Manifold Regression Framework for Classifying High-dimensional Data
ISIVC - 2018
Informatique/Intelligence artificielle
2018
ART
O. M. Essid, Chafik Samir, Laga Hamid
Automatic Detection and Classification of Manufacturing Defects in Metal Boxes
PLoS ONE - 2018
Informatique/Intelligence artificielle
2018
COMM
Anis Fradi, Chafik Samir, Anne-Franccoise Yao
Manifold-Based Inference for a Supervised Gaussian Process Classifier
ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - 2018
Informatique/Intelligence artificielle
2018
COMM
Anis Fradi, Chafik Samir, Anne-Franccoise Yao
Manifold-based inference for a supervised Gaussian process classifier
ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - 2018
Statistiques
2018
COMM
Thomas Deregnaucourt, Chafik Samir, Anne-Françoise Yao
Inférence bayésienne pour l'estimation de déformations larges par champs gaussien : application au recalage d'images multi-modales(Bayesian inference for estimation of large deformations by Gaussian random fields: application to multimodal image registration)
Actes de la Conférence Nationale d'Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA 2018) - 2018
Informatique/Intelligence artificielle
2018
ART
Chafik Samir, A. Elkhoumri, J. Laasiri
A Geometrically Constrained Embedding for An Extrinsic Gaussian Process
Applied and Numerical Harmonic Analysis - 2018
Informatique/Intelligence artificielle
2018
COMM
Papa Mbaye, Anne-Françoise Yao, Chafik Samir
Méthode non paramétrique pour l'analyse et la classification des données fonctionnelles(Non-parametric method for analysis and classification of functional data)
Actes de la Conférence Nationale d'Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA 2018) - 2018
Informatique/Intelligence artificielle
2017
COMM
Chafik Samir
A Statistical Framework for the Cross-sectional Geometric Variability of Object Shapes and Functional Dynamics
ISI World Statistics Congress - 2017
Statistiques