Publications: Some recent papers

Machine learning on manifolds: Classifying PDFs

Published in In the proceedings of the European Conference on Machine Learning, ECML , Turin, Italy, September 18-22, 2023, 2023

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Recommended citation: Anis Fradi, Chafik Samir, ECML 2023. [doi](10.1007/978-3-031-43412-9_30)

Manifold-valued data: Regression and Fitting on PDFs

Published in Journal of Comput. Appl. Math., 2023

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Recommended citation: Ines Adouani, Chafik Samir, "Numerical algorithms for spline interpolation on space of probability density functions." Journal of Comput. Appl. Math., 2023.

Learning, inference, and prediction on manifolds: constrained Gaussian processes on PDFs

Published in Journal of Inf. Sci., 2023

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Recommended citation: Tien Tam Tran, Anis Fradi, Chafik Samir, " Journal of Inf. Sci., 2023.

Learning and Regression on manifolds: Data on Grassmannian manifolds

Published in PR International Conference on Artificial Intelligence, Jakarta, Indonesia, November 15-19, 2023, 2023

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Recommended citation: Anis Fradi, Chafik Samir, PRICAI 2023. https://doi.org/10.1007/978-981-99-7022-3\_6

Manifold-valued data: Learning, Registering and Clustering Shapes of Curves

Published in In the proceedings of the 12th International Symposium on Information and Communication Technology, Ho Chi Minh, Vietnam, December 7-8, 2023, 2023

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Recommended citation: Anis Fradi, Chafik Samir, José Braga, SOICT 2023. https://doi.org/10.1145/3628797.3628903

On Studying the Effect of Data Quality on Classification Performances

Published in In the proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning , IDEAL 2022, Manchester, UK, November 24-26, 2022, 2022

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Recommended citation: Roxane Jouseau, Sébastien Salva, Chafik Samir, DEAL 2022. https://doi.org/10.1007/978-3-031-21753-1\_9

Nonparametric Bayesian Regression and Classification on Manifolds, With Applications to 3D Cochlear Shapes

Published in Journal of IEEE Trans. Image Process., 2022

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Recommended citation: Anis Fradi, Chafik Samir, José Braga, Shantanu Joshi, Jean-Michel Loubes" Journal of IEEE Trans. Image Process., 2022.

A scalable Matèrn Gaussian process for learning spatial curves distributions

Published in Journal of Inf. Sci., 2022

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Recommended citation: Tam Tran, Yan Feunteun, Chafik Samir, José Braga" Journal of Inf. Sci., 2022.

Coordinate descent optimization for one-to-one correspondence and supervised classification of 3D shapes

Published in Journal of Appl. Math. Comput., 2021

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Recommended citation: Chafik Samir, Wen Huang, Journal of Appl. Math. Comput., 2021.

Bayesian regression and classification using Gaussian process priors indexed by probability density functions

Published in Journal of Inf. Sci., 2021

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Recommended citation: Anis Fradi, Yan Feunteun, Chafik Samir, M. Baklouti, François Bachoc, Jean-Michel Loubes, Journal of Inf. Sci., 2021.

An Optimization Method for Accurate Nonparametric Regressions on Stiefel Manifolds

Published in In Machine Learning, Optimization and Data Science, Grasmere, UK, October 4-8, 2021, 2021

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Recommended citation: Ines Adouani, Chafik Samir, LOD 2021. https://doi.org/10.1007/978-3-030-95470-3\_25

Bayesian Inference on Local Distributions of Functions and Multidimensional Curves with Spherical HMC Sampling

Published in In Information Geometry and Learning, Les Houches, France, July 27-31, 2020, 2020

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Recommended citation: Anis Fradi, Ines Adouani, Chafik Samir, GSI 2020. https://doi.org/10.1007/978-3-030-77957-3\_19

A Constructive Approximation of Interpolating Bézier Curves on Riemannian Symmetric Spaces

Published in Journal of Optim. Theory and Appl., 2020

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