Francesco Marchetti - researchr alias

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Viewing Publication 1 - 27 from 27

2024

Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning PerspectiveTizian Wenzel, Francesco Marchetti, Emma Perracchione. siamsc, 46(1):101, February 2024. [doi]

2023

Mapped Variably Scaled Kernels: Applications to Solar ImagingFrancesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana. iccsa 2023: 577-592 [doi]

Multiple Trajectory Prediction of Moving Agents With Memory Augmented NetworksFrancesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo. pami, 45(6):6688-6702, June 2023. [doi]

2022

Deep variational learning for multiple trajectory prediction of 360° head movementsQuentin Guimard, Lucile Sassatelli, Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo. gacm 2022: 12-26 [doi]

A stochastic extended Rippa's algorithm for LpOCVLeevan Ling, Francesco Marchetti. appml, 129:107955, 2022. [doi]

Efficient Reduced Basis Algorithm (ERBA) for Kernel-Based ApproximationFrancesco Marchetti, Emma Perracchione. jscic, 91(2):41, 2022. [doi]

Convergence Results in Image Interpolation With the Continuous SSIMFrancesco Marchetti, Gabriele Santin. siamis, 15(4):1977-1999, December 2022. [doi]

Local-to-Global Support Vector Machines (LGSVMs)Francesco Marchetti, Emma Perracchione. PR, 132:108920, 2022. [doi]

Score-Oriented Loss (SOL) functionsFrancesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi. PR, 132:108913, 2022. [doi]

Explainable Sparse Attention for Memory-Based Trajectory PredictorsFrancesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo. eccv 2023: 543-560 [doi]

2021

Learning via variably scaled kernelsCristina Campi, Francesco Marchetti, Emma Perracchione. adcm, 47(4):51, 2021. [doi]

The extension of Rippa's algorithm beyond LOOCVFrancesco Marchetti. appml, 120:107262, 2021. [doi]

Inclusive Genetic ProgrammingFrancesco Marchetti, Edmondo A. Minisci. eurogp 2021: 51-65 [doi]

Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music GenerationFrancesco Marchetti, Callum Wilson, Cheyenne Powell, Edmondo A. Minisci, Annalisa Riccardi. evoW 2021: 187-202 [doi]

Multivariate approximation at fake nodesStefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali. amc, 391:125628, 2021. [doi]

On (β, γ)-Chebyshev functions and points of the intervalStefano De Marchi, Giacomo Elefante, Francesco Marchetti. jat, 271:105634, 2021. [doi]

Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) methodStefano De Marchi, Giacomo Elefante, Francesco Marchetti. cam, 40(8), 2021. [doi]

2020

Treating the Gibbs phenomenon in barycentric rational interpolation and approximation via the S-Gibbs algorithmJean-Paul Berrut, Stefano De Marchi, Giacomo Elefante, Francesco Marchetti. appml, 103:106196, 2020. [doi]

Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived XenograftsFrancesco Marchetti, Fabio De Martino, Marie Shamseddin, Stefano De Marchi, Cathrin Brisken. eais 2020: 1-6 [doi]

Towards Intelligent Control via Genetic ProgrammingFrancesco Marchetti, Edmondo A. Minisci, Annalisa Riccardi. ijcnn 2020: 1-8 [doi]

A Hybrid Neural Network-Genetic Programming Intelligent Control ApproachFrancesco Marchetti, Edmondo A. Minisci. bioma 2020: 240-254 [doi]

MANTRA: Memory Augmented Networks for Multiple Trajectory PredictionFrancesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo. cvpr 2020: 7141-7150 [doi]

Polynomial interpolation via mapped bases without resamplingStefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali. jcam, 364, 2020. [doi]

Shape-Driven Interpolation With Discontinuous Kernels: Error Analysis, Edge Extraction, and Applications in Magnetic Particle ImagingStefano De Marchi, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, M. Rossini. siamsc, 42(2), 2020. [doi]

Classifying Intelligence in Machines: A Taxonomy of Intelligent ControlCallum Wilson, Francesco Marchetti, Marilena Di Carlo, Annalisa Riccardi, Edmondo A. Minisci. robotics, 9(3):64, 2020. [doi]

2019

Intelligent Control: A TaxonomyCallum Wilson, Francesco Marchetti, Marilena Di Carlo, Annalisa Riccardi, Edmondo A. Minisci. icsc2 2019: 333-339 [doi]

2015

A logical exposition of dirac 3-polarizer experiment and its potential impact on computational biologyWen-Ran Zhang, Francesco Marchetti. bcb 2015: 517-518 [doi]

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