Anis Fradi

According to our database, Anis Fradi authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., September, 2024

Reduced-rank spectral mixtures Gaussian processes for probabilistic time-frequency representations.

Anis Fradi, Khalid Daoudi

Signal Process., 2024

A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data.

Anis Fradi, Chafik Samir

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Learning, inference, and prediction on probability density functions with constrained Gaussian processes.

Tien Tam Tran, Anis Fradi, Chafik Samir

Inf. Sci., 2023

A Shrinkage Method for Learning, Registering and Clustering Shapes of Curves.

Anis Fradi, Chafik Samir, José Braga

Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Learning and Regression on the Grassmannian.

Anis Fradi, Chafik Samir

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

A New Framework for Classifying Probability Density Functions.

Anis Fradi, Chafik Samir

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

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

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

PhD thesis, 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

Multi-layer Feature Fusion and Selection from Convolutional Neural Networks for Texture Classification.

Hajer Fradi, Anis Fradi, Jean-Luc Dugelay

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020

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

Anis Fradi, Ines Adouani, Chafik Samir

Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

2018

Manifold-Based Inference for a Supervised Gaussian Process Classifier.

Anis Fradi, Chafik Samir, Anne-Françoise Yao

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018