Manifold-Based Inference for a Supervised Gaussian Process Classifier. - Anis Fradi; Chafik Samir; Anne-Françoise Yao (ICASSP, 2018)

Bayesian Inference on Local Distributions of Functions and Multidimensional Curves with Spherical HMC Sampling. - Anis Fradi; Ines Adouani; Chafik Samir (SPIGL, 2020)

Multi-layer Feature Fusion and Selection from Convolutional Neural Networks for Texture Classification. - Hajer Fradi; Anis Fradi; Jean-Luc Dugelay (VISIGRAPP (4: VISAPP), 2021)

Bayesian regression and classification using Gaussian process priors indexed by probability density functions. - Anis Fradi; Yan Feunteun; Chafik Samir; M. Baklouti; François Bachoc; Jean-Michel Loubes (Inf. Sci., 2021)

Bayesian Inference within the Framework of 2D and 3D Shape Analysis. (L'inférence bayésienne dans le cadre de l'analyse des formes 2D et 3D). - Anis Fradi (2021)

Nonparametric Bayesian Regression and Classification on Manifolds, With Applications to 3D Cochlear Shapes. - Anis Fradi; Chafik Samir; José Braga; Shantanu H. Joshi; Jean-Michel Loubes (IEEE Trans. Image Process., 2022)

A New Framework for Classifying Probability Density Functions. - Anis Fradi; Chafik Samir (ECML/PKDD (1), 2023)

Learning and Regression on the Grassmannian. - Anis Fradi; Chafik Samir (PRICAI (2), 2023)

A Shrinkage Method for Learning, Registering and Clustering Shapes of Curves. - Anis Fradi; Chafik Samir; José Braga (SoICT, 2023)

Learning, inference, and prediction on probability density functions with constrained Gaussian processes. - Tien Tam Tran; Anis Fradi; Chafik Samir (Inf. Sci., 2023)

A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data. - Anis Fradi; Chafik Samir (ECML/PKDD (1), 2024)

Reduced-rank spectral mixtures Gaussian processes for probabilistic time-frequency representations. - Anis Fradi; Khalid Daoudi (Signal Process., 2024)

A New Bayesian Approach to Global Optimization on Parametrized Surfaces in $ mathbb {R}^{3}$. - Anis Fradi; Chafik Samir; Ines Adouani (J. Optim. Theory Appl., 2024)

ConvKAN: Towards Robust, High-Performance and Interpretable Image Classification. - Achref Ouni; Chafik Samir; Yousef Bouaziz; Anis Fradi (VISIGRAPP (2): VISAPP, 2025)