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Anis Fradi
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2020 – today
- 2024
- [j5]Anis Fradi, Chafik Samir, Ines Adouani:
A New Bayesian Approach to Global Optimization on Parametrized Surfaces in $\mathbb {R}^{3}$. J. Optim. Theory Appl. 202(3): 1077-1100 (2024) - [j4]Anis Fradi, Khalid Daoudi:
Reduced-rank spectral mixtures Gaussian processes for probabilistic time-frequency representations. Signal Process. 218: 109355 (2024) - [c7]Anis Fradi, Chafik Samir:
A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data. ECML/PKDD (1) 2024: 406-421 - 2023
- [j3]Tien-Tam Tran, Anis Fradi, Chafik Samir:
Learning, inference, and prediction on probability density functions with constrained Gaussian processes. Inf. Sci. 642: 119068 (2023) - [c6]Anis Fradi, Chafik Samir:
A New Framework for Classifying Probability Density Functions. ECML/PKDD (1) 2023: 507-522 - [c5]Anis Fradi, Chafik Samir:
Learning and Regression on the Grassmannian. PRICAI (2) 2023: 66-78 - [c4]Anis Fradi, Chafik Samir, José Braga:
A Shrinkage Method for Learning, Registering and Clustering Shapes of Curves. SoICT 2023: 615-622 - 2022
- [j2]Anis Fradi, Chafik Samir, José Braga, Shantanu H. Joshi, Jean-Michel Loubes:
Nonparametric Bayesian Regression and Classification on Manifolds, With Applications to 3D Cochlear Shapes. IEEE Trans. Image Process. 31: 2598-2607 (2022) - 2021
- [b1]Anis Fradi:
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). University of Clermont Auvergne, Clermont-Ferrand, France, 2021 - [j1]Anis Fradi, Yan Feunteun, Chafik Samir, M. Baklouti, François Bachoc, Jean-Michel Loubes:
Bayesian regression and classification using Gaussian process priors indexed by probability density functions. Inf. Sci. 548: 56-68 (2021) - [c3]Hajer Fradi, Anis Fradi, Jean-Luc Dugelay:
Multi-layer Feature Fusion and Selection from Convolutional Neural Networks for Texture Classification. VISIGRAPP (4: VISAPP) 2021: 574-581 - 2020
- [c2]Anis Fradi, Ines Adouani, Chafik Samir:
Bayesian Inference on Local Distributions of Functions and Multidimensional Curves with Spherical HMC Sampling. SPIGL 2020: 356-373
2010 – 2019
- 2018
- [c1]Anis Fradi, Chafik Samir, Anne-Françoise Yao:
Manifold-Based Inference for a Supervised Gaussian Process Classifier. ICASSP 2018: 4239-4243
Coauthor Index
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