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Bayesian cluster analysis for registration and clustering homogeneous subgroups in multidimensional functional data

Communications in statistics. Theory and methods, 2022-04, Vol.51 (7), p.2242-2258

2022

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Automatic detection and classification of manufacturing defects in metal boxes using deep neural networks

PloS one, 2018-11, Vol.13 (11), p.e0203192-e0203192

2018

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A scalable approximate Bayesian inference for high-dimensional Gaussian processes

Communications in statistics. Theory and methods, 2022-09, Vol.51 (17), p.5937-5956

2022

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A Constructive Approximation of Interpolating Bézier Curves on Riemannian Symmetric Spaces

Journal of optimization theory and applications, 2020-10, Vol.187 (1), p.158-180

2020

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Numerical algorithms for spline interpolation on space of probability density functions

Computational & applied mathematics, 2023-04, Vol.42 (3), Article 127

2023

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Regression and Fitting on Manifold-valued Data

2024

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Bézier Splines Interpolation on Stiefel and Grassmann Manifolds

Journal of computational and applied mathematics, 2023

2023

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Numerical algorithms for Spline Interpolation on Space of Probability Density Functions: Manifold of Probability Density Functions

Journal of computational and applied mathematics, 2023, Vol.42 (3)

2023

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The contribution of reduced COVID-19 test time in controlling the spread of the disease: A simulation-based approach

Journal of public health in Africa, 2021-12, Vol.12 (2), p.7

2021

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

Applied mathematics and computation, 2021-01, Vol.388, p.125539, Article 125539

2021

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C1 interpolating Bézier path on Riemannian manifolds, with applications to 3D shape space: Regression on Riemannian manifolds

Applied mathematics and computation, 2019-05, Vol.348, p.371-384

2019

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C1 interpolating Bézier path on Riemannian manifolds, with applications to 3D shape space

Applied mathematics and computation, 2019-05, Vol.348, p.371-384

2019

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A New Bayesian Approach to Global Optimization on Parametrized Surfaces in $$\mathbb {R}^{3}

Journal of optimization theory and applications, 2024-09, Vol.202 (3), p.1077-1100

2024

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A New Bayesian Approach to Global Optimization on Parametrized Surfaces in R3

Journal of optimization theory and applications, 2024-09, Vol.202 (3), p.1077-1100

2024

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

Information sciences, 2023-09, Vol.642, p.119068, Article 119068

2023

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An Optimization Method for Accurate Nonparametric Regressions on Stiefel Manifolds

Machine Learning, Optimization, and Data Science, 2022, Vol.13164, p.325-337

2022

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Bézier Splines Interpolation on Stiefel and Grassmann Manifolds

Journal of computational mathematics, 2024-06, Vol.42 (6), p.1554-1578

2024

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A scalable Matérn Gaussian process for learning spatial curves distributions

Information sciences, 2022-10, Vol.614, p.348-361

2022

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A scalable Matérn Gaussian process for learning spatial curves distributions

Information sciences, 2022-10, Vol.614, p.348-361

2022

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Automatic Detection and Classification of Manufacturing Defects in Metal Boxes

PloS one, 2018-10

2018

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Learning and Regression on the Grassmannian

PRICAI 2023: Trends in Artificial Intelligence, 2023, Vol.14326, p.66-78

2023

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

Machine Learning and Knowledge Discovery in Databases. Research Track, 2024, p.406-421

2024

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A New Framework for Classifying Probability Density Functions

Machine Learning and Knowledge Discovery in Databases: Research Track, 2023, Vol.14169, p.507-522

2023

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

Information sciences, 2021-02, Vol.548, p.56-68

2021

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Elastic Shape Analysis of Cylindrical Surfaces for 3D/2D Registration in Endometrial Tissue Characterization

IEEE transactions on medical imaging, 2014-05, Vol.33 (5), p.1035-1043

2014

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Bayesian cluster analysis for registration and clustering homogeneous subgroups in multidimensional functional data

Automatic detection and classification of manufacturing defects in metal boxes using deep neural networks

A scalable approximate Bayesian inference for high-dimensional Gaussian processes

A Constructive Approximation of Interpolating Bézier Curves on Riemannian Symmetric Spaces

Numerical algorithms for spline interpolation on space of probability density functions

Regression and Fitting on Manifold-valued Data

Bézier Splines Interpolation on Stiefel and Grassmann Manifolds

Numerical algorithms for Spline Interpolation on Space of Probability Density Functions: Manifold of Probability Density Functions

The contribution of reduced COVID-19 test time in controlling the spread of the disease: A simulation-based approach

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

C1 interpolating Bézier path on Riemannian manifolds, with applications to 3D shape space: Regression on Riemannian manifolds

C1 interpolating Bézier path on Riemannian manifolds, with applications to 3D shape space

A New Bayesian Approach to Global Optimization on Parametrized Surfaces in $$\mathbb {R}^{3}

A New Bayesian Approach to Global Optimization on Parametrized Surfaces in R3

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

An Optimization Method for Accurate Nonparametric Regressions on Stiefel Manifolds

Bézier Splines Interpolation on Stiefel and Grassmann Manifolds

A scalable Matérn Gaussian process for learning spatial curves distributions

A scalable Matérn Gaussian process for learning spatial curves distributions

Automatic Detection and Classification of Manufacturing Defects in Metal Boxes

Learning and Regression on the Grassmannian

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

A New Framework for Classifying Probability Density Functions

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

Elastic Shape Analysis of Cylindrical Surfaces for 3D/2D Registration in Endometrial Tissue Characterization

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