Anis Fradi

Orcid: 0000-0002-4333-2318

According to our database1, Anis Fradi authored at least 10 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Learning, inference, and prediction on probability density functions with constrained Gaussian processes.
Inf. Sci., 2023

A Shrinkage Method for Learning, Registering and Clustering Shapes of Curves.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Learning and Regression on the Grassmannian.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

A New Framework for Classifying Probability Density Functions.
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.
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).
PhD thesis, 2021

Bayesian regression and classification using Gaussian process priors indexed by probability density functions.
Inf. Sci., 2021

Multi-layer Feature Fusion and Selection from Convolutional Neural Networks for Texture Classification.
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.
Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

2018
Manifold-Based Inference for a Supervised Gaussian Process Classifier.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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