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Chafik SAMIR
Chafik SAMIR
59
Documents
Affiliations actuelles
- 1063463
Identifiants chercheurs
- chafik-samir
- 0000-0003-0619-5040
- IdRef : 187174601
Présentation
**About me:**
Chafik Samir is an Associate Professor (HDR) at the University of Clermont Auvergne (UCA) and member of LIMOS (CNRS UMR 6158) Laboratory, France.
His main research interests involve:
* Machine Learning, Data Science, and Artificial Intelligence
* Optimization and applications for Manifold-valued Data
* Statistical Shape Analysis: Functional, curves, surfaces, 4D, etc.
* Inference, Regression and Classification on high Dimension and Manifold Embedding
* Spatio-temporal Gaussian processes
* Dynamics and Functional Patterns Analysis
With different applications to real world probelms : Medical, Paleontology, Indiustrial, Artificial Vision, Data Science, etc.
Domaines de recherche
Compétences
Publications
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Transfer Learning on Riemannian ManifoldsUniversity of Clermont Auvergne. 2023
Rapport
hal-04281544v1
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Flexible Regression Models with Gaussian Process PriorUniversity of Clermont Auvergne. 2023
Rapport
hal-04281541v1
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Technical report for: On Studying the Effect of Data Quality on Classification Performance[Technical Report] University of Clermont Auvergne. 2022
Rapport
hal-03782760v1
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Relative Regression on Riemannian ManifoldsUniversité Clermont Auvergne (UCA). 2020
Rapport
hal-04291438v1
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Learning and Transfer of DeformationsUniversité Clermont Auvergne. 2019
Rapport
hal-04518231v1
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A New Framework for Classifying Probability Density FunctionsECML, Sep 2023, Turin, France. pp.507-522, ⟨10.1007/978-3-031-43412-9_30⟩
Communication dans un congrès
hal-04260521v1
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An Optimization Method for Accurate Nonparametric Regressions on Stiefel ManifoldsMachine Learning, Optimization, and Data Science, Sep 2022, Siena, Italy. pp.325-337, ⟨10.1007/978-3-030-95470-3_25⟩
Communication dans un congrès
hal-04037925v1
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Data quality in the context of classification tasks38èmes journées de la conférence BDA « Gestion de Données – Principes, Technologies et Applications, Oct 2022, Clermont-Ferrand, France, France
Communication dans un congrès
hal-03903460v1
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Bézier curves and C2 interpolation in Riemannian Symmetric Spaces4th International Conference on Geometric Science of Information, Aug 2019, Toulouse, France. ⟨10.1007/978-3-030-26980-7_61⟩
Communication dans un congrès
hal-02289874v1
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Learning a Gaussian Process Model on the Riemannian Manifold of Non-decreasing Distribution Functions16th Pacific Rim International Conference on Artificial Intelligence, Aug 2019, Cuvu, Fiji. ⟨10.1007/978-3-030-29911-8_9⟩
Communication dans un congrès
hal-02276949v1
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A new Manifold Regression Framework for Classifying High-dimensional DataISIVC, Nov 2018, Rabat, Morocco
Communication dans un congrès
hal-01917117v1
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Manifold-based inference for a supervised Gaussian process classifierICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Canada. pp.4239-4243, ⟨10.1109/ICASSP.2018.8461840⟩
Communication dans un congrès
hal-03017187v1
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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, Nancy, France. pp.19--26
Communication dans un congrès
hal-02088696v1
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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, Nancy, France. pp.43--49
Communication dans un congrès
hal-02088697v1
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Manifold-Based Inference for a Supervised Gaussian Process ClassifierICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Canada. ⟨10.1109/ICASSP.2018.8461840⟩
Communication dans un congrès
hal-01907501v1
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A Statistical Framework for the Cross-sectional Geometric Variability of Object Shapes and Functional DynamicsISI World Statistics Congress, Jun 2017, Marrakech, Morocco
Communication dans un congrès
hal-01925597v1
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Application d'une régression PLS fonctionnelle : recherche de liens entre deux ensembles de variables omiques49.Journées de Statistique. JDS 2017, 2017
Communication dans un congrès
hal-02787426v1
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Représentation et interprétation en régression pls fonctionnelle49.Journées de Statistique. JDS 2017, 2017, Avignon, France
Communication dans un congrès
hal-02734961v1
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A Statistical Framework for Elastic Shape Analysis of Spatio-Temporal Evolutions of Planar Closed Curves2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016, Las Vegas, United States
Communication dans un congrès
hal-01599077v1
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An elastic functional data analysis framework for preoperative evaluation of patients with Rheumatoid ArthritisIEEE Winter Conference on Applications of Computer Vision, 2016, New York, United States
Communication dans un congrès
hal-01599080v1
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Curves-Driven Smooth Deformation Field for Multimodal Image RegistrationMedical Image Understanding and Analysis, 2016, Lincoln, United Kingdom
Communication dans un congrès
hal-01599083v1
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A Regression Model for Registering Multimodal ImagesMedical Image Understanding and Analysis, 2016, Loughbrough, United Kingdom. pp.42 - 47, ⟨10.1016/j.procs.2016.07.008⟩
Communication dans un congrès
hal-01599078v1
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Fitting Smooth Paths on Riemannian Manifolds: Endometrial Surface Reconstruction and Preoperative MRI-Based NavigationGeometric Science of Information, 2015, Paris, France. ⟨10.1007/978-3-319-25040-3_53⟩
Communication dans un congrès
hal-01599081v1
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A new curves-based method for adaptive multimodal registrationInternational Conference on Image Processing Theory, 2015, Orleans, France
Communication dans un congrès
hal-01599082v1
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Curves-Driven Smooth Deformation Field for Multimodal TVUS-MR Image RegistrationMedical Image Understanding and Analysis - MIUA 2015. 19th Annual Conference, 2015, Lincoln, United Kingdom. pp.20--25
Communication dans un congrès
hal-02088702v1
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An augmented representation of activity in video using semantic informationIEEE ICIP, 2014, Paris, France
Communication dans un congrès
hal-01599084v1
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Piecewise-Bézier C1 Interpolation on Riemannian Manifolds with Application to 2D Shape MorphingIEEE ICPR, 2014, tockholm, Sweden. ⟨10.1109/ICPR.2014.700⟩
Communication dans un congrès
hal-01599085v1
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Statistical Shape Model for Simulation of Realistic Endometrial TissueICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, 2014, Loire Valley, France. pp.421--428, ⟨10.5220/0004821904210428⟩
Communication dans un congrès
hal-02088698v1
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Smooth 2D Coordinate Systems on Discrete Surfaces14th International Workshop on Combinatorial Image Analysis, Apr 2011, Nancy, France. pp.59-70, ⟨10.1007/978-3-642-19867-0_5⟩
Communication dans un congrès
hal-00659011v1
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Simple and flexible mesh parameterization method14th International Workshop on Combinatorial Image Analysis, May 2011, Madrid, Spain. pp.157-167
Communication dans un congrès
hal-00659008v1
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Three-dimensional face recognition using elastic deformations of facial surfaces2008 IEEE International Conference on Multimedia & Expo, Jun 2008, Hannover, Germany. pp.97-100
Communication dans un congrès
hal-00665585v1
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Automatic 3D face recognition using topological techniquesIEEE International Conference on Multimedia & Expo (ICME 2005), Jul 2005, Amsterdam, Netherlands
Communication dans un congrès
hal-00725593v1
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A Shrinkage Method for Learning, Registering and Clustering Shapes of CurvesProceedings of the 12th International Symposium on Information and Communication Technology, ACM, pp.615-622, 2023, ⟨10.1145/3628797.3628903⟩
Chapitre d'ouvrage
hal-04344823v1
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Bayesian Inference on Local Distributions of Functions and Multidimensional Curves with Spherical HMC SamplingGeometric Structures of Statistical Physics, Information Geometry, and Learning, pp.356-373, 2021, ⟨10.1007/978-3-030-77957-3_19⟩
Chapitre d'ouvrage
hal-03282023v1
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