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08/24/2023
Robot Pose Nowcasting: Forecast the Future to Improve the Present
In recent years, the effective and safe collaboration between humans and...
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07/14/2023
A fast surrogate cross validation algorithm for meshfree RBF collocation approaches
Cross validation is an important tool in the RBF collocation setting, es...
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05/22/2023
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics
In many contexts, customized and weighted classification scores are desi...
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05/17/2023
Physics-driven machine learning for the prediction of coronal mass ejections' travel times
Coronal Mass Ejections (CMEs) correspond to dramatic expulsions of plasm...
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05/05/2023
More properties of (β,γ)-Chebyshev functions and points
Recently, (β,γ)-Chebyshev functions, as well as the corresponding zeros,...
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04/03/2023
Mapped Variably Scaled Kernels: Applications to Solar Imaging
Variably scaled kernels and mapped bases constructed via the so-called f...
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02/06/2023
Moving Least Squares Approximation using Variably Scaled Discontinuous Weight Function
Functions with discontinuities appear in many applications such as image...
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01/19/2023
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective
Thanks to their easy implementation via Radial Basis Functions (RBFs), m...
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12/15/2022
Interpolation with the polynomial kernels
The polynomial kernels are widely used in machine learning and they are ...
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09/12/2022
Operational solar flare forecasting via video-based deep learning
Operational flare forecasting aims at providing predictions that can be ...
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04/04/2022
Polynomial mapped bases: theory and applications
In this paper, we collect the basic theory and the most important applic...
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03/23/2022
SMEMO: Social Memory for Trajectory Forecasting
Effective modeling of human interactions is of utmost importance when fo...
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02/20/2022
Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications
In recent years, various kernels have been proposed in the context of pe...
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11/21/2021
A stochastic extended Rippa's algorithm for LpOCV
In kernel-based approximation, the tuning of the so-called shape paramet...
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10/24/2021
Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data
Solar flare forecasting can be realized by means of the analysis of magn...
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09/27/2021
On Kosloff Tal-Ezer least-squares quadrature formulas
In this work, we study a global quadrature scheme for analytic functions...
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08/09/2021
Convergence analysis for image interpolation in terms of the cSSIM
Assessing the similarity of two images is a complex task that has attrac...
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07/07/2021
Efficient Reduced Basis Algorithm (ERBA) for kernel-based approximation
The main purpose of this work is the one of providing an efficient schem...
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05/20/2021
Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) method
The mapped bases or Fake Nodes Approach (FNA), introduced in [10], allow...
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03/29/2021
Score-oriented loss (SOL) functions
Loss functions engineering and the assessment of forecasting performance...
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02/08/2021
On (β,γ)-Chebyshev functions and points of the interval
In this paper, we introduce the class of (β,γ)-Chebyshev functions and c...
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06/05/2020