Francesco Marchetti

SIAM J. Sci. Comput., February, 2024

Greedy feature selection: Classifier-dependent feature selection via greedy methods.

[BibT_eX]

[DOI]

CoRR, 2024

AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Multiple Trajectory Prediction of Moving Agents With Memory Augmented Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Robot Pose Nowcasting: Forecast the Future to Improve the Present.

[BibT_eX]

[DOI]

CoRR, 2023

A fast surrogate cross validation algorithm for meshfree RBF collocation approaches.

[BibT_eX]

[DOI]

CoRR, 2023

A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics.

[BibT_eX]

[DOI]

CoRR, 2023

Physics-driven machine learning for the prediction of coronal mass ejections' travel times.

[BibT_eX]

[DOI]

CoRR, 2023

More properties of (β, γ)-Chebyshev functions and points.

[BibT_eX]

[DOI]

Giacomo Elefante

Mohammad Karimnejad Esfahani

CoRR, 2023

Moving Least Squares Approximation using Variably Scaled Discontinuous Weight Function.

[BibT_eX]

[DOI]

CoRR, 2023

Mapped Variably Scaled Kernels: Applications to Solar Imaging.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022

Convergence Results in Image Interpolation With the Continuous SSIM.

[BibT_eX]

[DOI]

Gabriele Santin

SIAM J. Imaging Sci., December, 2022

Local-to-Global Support Vector Machines (LGSVMs).

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Score-Oriented Loss (SOL) functions.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Efficient Reduced Basis Algorithm (ERBA) for Kernel-Based Approximation.

[BibT_eX]

[DOI]

J. Sci. Comput., 2022

Interpolation with the polynomial kernels.

[BibT_eX]

[DOI]

CoRR, 2022

Operational solar flare forecasting via video-based deep learning.

[BibT_eX]

[DOI]

CoRR, 2022

Polynomial mapped bases: theory and applications.

[BibT_eX]

[DOI]

CoRR, 2022

SMEMO: Social Memory for Trajectory Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications.

[BibT_eX]

[DOI]

CoRR, 2022

A stochastic extended Rippa's algorithm for LpOCV.

[BibT_eX]

[DOI]

Leevan Ling

Appl. Math. Lett., 2022

Deep variational learning for multiple trajectory prediction of 360° head movements.

[BibT_eX]

[DOI]

Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

Explainable Sparse Attention for Memory-Based Trajectory Predictors.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

On (β, γ)-Chebyshev functions and points of the interval.

[BibT_eX]

[DOI]

Giacomo Elefante

J. Approx. Theory, 2021

Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data.

[BibT_eX]

[DOI]

CoRR, 2021

On Kosloff Tal-Ezer least-squares quadrature formulas.

[BibT_eX]

[DOI]

CoRR, 2021

Convergence analysis for image interpolation in terms of the cSSIM.

[BibT_eX]

[DOI]

Gabriele Santin

CoRR, 2021

Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) method.

[BibT_eX]

[DOI]

Giacomo Elefante

Comput. Appl. Math., 2021

The extension of Rippa's algorithm beyond LOOCV.

[BibT_eX]

[DOI]

Appl. Math. Lett., 2021

Multivariate approximation at fake nodes.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2021

Learning via variably scaled kernels.

[BibT_eX]

[DOI]

Cristina Campi

Adv. Comput. Math., 2021

Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2021

Inclusive Genetic Programming.

[BibT_eX]

[DOI]

Edmondo A. Minisci

Proceedings of the Genetic Programming - 24th European Conference, 2021

2020

Shape-Driven Interpolation With Discontinuous Kernels: Error Analysis, Edge Extraction, and Applications in Magnetic Particle Imaging.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2020

Classifying Intelligence in Machines: A Taxonomy of Intelligent Control.

[BibT_eX]

[DOI]

Robotics, 2020

Polynomial interpolation via mapped bases without resampling.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2020

Treating the Gibbs phenomenon in barycentric rational interpolation and approximation via the S-Gibbs algorithm.

[BibT_eX]

[DOI]

Appl. Math. Lett., 2020

Towards Intelligent Control via Genetic Programming.

[BibT_eX]

[DOI]

Edmondo A. Minisci

Annalisa Riccardi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Hybrid Neural Network-Genetic Programming Intelligent Control Approach.

[BibT_eX]

[DOI]

Edmondo A. Minisci

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

2019

Intelligent Control: A Taxonomy.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Systems and Control, 2019

2015

A logical exposition of dirac 3-polarizer experiment and its potential impact on computational biology.

[BibT_eX]

[DOI]

Wen-Ran Zhang