Francesco Marchetti

70 papers A* 1A 1B 3C 1Journal 57Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
An accurate flatness measure to estimate the generalization performance of CNN models.
CoRR
Rahman Taleghani, Maryam Mohammadi, Francesco Marchetti
2026 J jnl
Kriging via variably scaled kernels.
CoRR
Gianluca Audone, Francesco Marchetti, Emma Perracchione, Milvia Rossini
2025 J jnl
3D Pose Nowcasting: Forecast the future to improve the present.
Comput. Vis. Image Underst.
Alessandro Simoni, Francesco Marchetti, Guido Borghi, Federico Becattini, Lorenzo Seidenari, Roberto Vezzani, Alberto Del Bimbo
2025 J jnl
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics.
Optim. Lett.
Francesco Marchetti, Sabrina Guastavino, Cristina Campi, Federico Benvenuto, Michele Piana
2025 J jnl
Feature Understanding and Sparsity Enhancement via 2-Layered kernel machines (2L-FUSE).
CoRR
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Emma Perracchione
2025 J jnl
Foundation Forecasting in IoE Networks: When Generative AI Meets Programmable Edge Nodes.
IEEE Internet Things J.
Francesco Marchetti, Benedetta Picano, Lorenzo Seidenari, Romano Fantacci
2025 J jnl
Multiclass threshold-based classification and model evaluation.
CoRR
Edoardo Legnaro, Sabrina Guastavino, Francesco Marchetti
2025 J jnl
Sobolev Algorithm for Local Smoothness Analysis (SALSA) via Sharp Direct and Inverse Statements.
CoRR
Sara Avesani, Leevan Ling, Francesco Marchetti, Tizian Wenzel
2025 J jnl
The Multiclass Score-Oriented Loss (MultiSOL) on the Simplex.
CoRR
Francesco Marchetti, Edoardo Legnaro, Sabrina Guastavino
2025 J jnl
Tuning Butterworth filter's parameters in SPECT reconstructions via kernel-based Bayesian optimization with a no-reference image evaluation metric.
CoRR
Luca Pastrello, Diego Cecchin, Gabriele Santin, Francesco Marchetti
2025 J jnl
Weak convergence rates for spectral regularization via sampling inequalities.
CoRR
Sabrina Guastavino, Gabriele Santin, Francesco Marchetti, Federico Benvenuto
2024 J jnl
A fast surrogate cross validation algorithm for meshfree RBF collocation approaches.
Appl. Math. Comput.
Francesco Marchetti
2024 J jnl
AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data.
CoRR
Michele Piana, Federico Benvenuto, Anna Maria Massone, Cristina Campi, Sabrina Guastavino, Francesco Marchetti, Paolo Massa, Emma Perracchione, Anna Volpara
2024 J jnl
Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation.
Appl. Soft Comput.
Francesco Marchetti, Gloria Pietropolli, Federico Julian Camerota Verdù, Mauro Castelli, Edmondo A. Minisci
2024 J jnl
Classifier-dependent feature selection via greedy methods.
Stat. Comput.
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
2024 J jnl
Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective.
SIAM J. Sci. Comput.
Tizian Wenzel, Francesco Marchetti, Emma Perracchione
2024 J jnl
Deep Variational Learning for 360° Adaptive Streaming.
ACM Trans. Multim. Comput. Commun. Appl.
Quentin Guimard, Lucile Sassatelli, Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
2024 — conf
Depth-Based Privileged Information for Boosting 3D Human Pose Estimation on RGB.
ECCV Workshops (13)
Alessandro Simoni, Francesco Marchetti, Guido Borghi, Federico Becattini, Davide Davoli, Lorenzo Garattoni, Gianpiero Francesca, Lorenzo Seidenari, Roberto Vezzani
2024 J jnl
Depth-based Privileged Information for Boosting 3D Human Pose Estimation on RGB.
CoRR
Alessandro Simoni, Francesco Marchetti, Guido Borghi, Federico Becattini, Davide Davoli, Lorenzo Garattoni, Gianpiero Francesca, Lorenzo Seidenari, Roberto Vezzani
2024 B conf
Full Inclusive Genetic Programming.
CEC
Francesco Marchetti, Mauro Castelli, Illya Bakurov, Leonardo Vanneschi
2024 J jnl
Greedy feature selection: Classifier-dependent feature selection via greedy methods.
CoRR
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
2024 J jnl
SMEMO: Social Memory for Trajectory Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell.
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
2023 J jnl
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics.
CoRR
Francesco Marchetti, Sabrina Guastavino, Cristina Campi, Federico Benvenuto, Michele Piana
2023 J jnl
A fast surrogate cross validation algorithm for meshfree RBF collocation approaches.
CoRR
Francesco Marchetti
2023 J jnl
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective.
CoRR
Tizian Wenzel, Francesco Marchetti, Emma Perracchione
2023 — conf
Mapped Variably Scaled Kernels: Applications to Solar Imaging.
ICCSA (Workshops 5)
Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana
2023 J jnl
Mapped Variably Scaled Kernels: Applications to Solar Imaging.
CoRR
Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana
2023 J jnl
More properties of (β, γ)-Chebyshev functions and points.
CoRR
Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
2023 J jnl
Moving Least Squares Approximation using Variably Scaled Discontinuous Weight Function.
CoRR
Mohammad Karimnejad Esfahani, Stefano De Marchi, Francesco Marchetti
2023 J jnl
Multiple Trajectory Prediction of Moving Agents With Memory Augmented Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
2023 J jnl
Physics-driven machine learning for the prediction of coronal mass ejections' travel times.
CoRR
Sabrina Guastavino, Valentina Candiani, Alessandro Bemporad, Francesco Marchetti, Federico Benvenuto, Anna Maria Massone, Roberto Susino, Daniele Telloni, Silvano Fineschi, Michele Piana
2023 J jnl
Robot Pose Nowcasting: Forecast the Future to Improve the Present.
CoRR
Alessandro Simoni, Francesco Marchetti, Guido Borghi, Federico Becattini, Lorenzo Seidenari, Roberto Vezzani, Alberto Del Bimbo
2022 J jnl
A stochastic extended Rippa's algorithm for LpOCV.
Appl. Math. Lett.
Leevan Ling, Francesco Marchetti
2022 J jnl
Convergence Results in Image Interpolation With the Continuous SSIM.
SIAM J. Imaging Sci.
Francesco Marchetti, Gabriele Santin
2022 A conf
Deep variational learning for multiple trajectory prediction of 360° head movements.
MMSys
Quentin Guimard, Lucile Sassatelli, Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
2022 J jnl
Efficient Reduced Basis Algorithm (ERBA) for Kernel-Based Approximation.
J. Sci. Comput.
Francesco Marchetti, Emma Perracchione
2022 — conf
Explainable Sparse Attention for Memory-Based Trajectory Predictors.
ECCV Workshops (5)
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
2022 J jnl
Interpolation with the polynomial kernels.
CoRR
Giacomo Elefante, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, Davide Poggiali, Gabriele Santin
2022 J jnl
Local-to-Global Support Vector Machines (LGSVMs).
Pattern Recognit.
Francesco Marchetti, Emma Perracchione
2022 J jnl
Operational solar flare forecasting via video-based deep learning.
CoRR
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana
2022 J jnl
Polynomial mapped bases: theory and applications.
CoRR
Stefano De Marchi, Giacomo Elefante, Elisa Francomano, Francesco Marchetti
2022 J jnl
SMEMO: Social Memory for Trajectory Forecasting.
CoRR
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
2022 J jnl
Score-Oriented Loss (SOL) functions.
Pattern Recognit.
Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi
2022 J jnl
Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications.
CoRR
Stefano De Marchi, Federico Lot, Francesco Marchetti, Davide Poggiali
2021 J jnl
A stochastic extended Rippa's algorithm for LpOCV.
CoRR
Leevan Ling, Francesco Marchetti
2021 J jnl
Convergence analysis for image interpolation in terms of the cSSIM.
CoRR
Francesco Marchetti, Gabriele Santin
2021 C conf
Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation.
EvoMUSART
Francesco Marchetti, Callum Wilson, Cheyenne Powell, Edmondo A. Minisci, Annalisa Riccardi
2021 J jnl
Efficient Reduced Basis Algorithm (ERBA) for kernel-based approximation.
CoRR
Francesco Marchetti, Emma Perracchione
2021 J jnl
Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data.
CoRR
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana
2021 B conf
Inclusive Genetic Programming.
EuroGP
Francesco Marchetti, Edmondo A. Minisci
2021 J jnl
Learning via variably scaled kernels.
Adv. Comput. Math.
Cristina Campi, Francesco Marchetti, Emma Perracchione
2021 J jnl
Multivariate approximation at fake nodes.
Appl. Math. Comput.
Stefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali
2021 J jnl
On (β, γ)-Chebyshev functions and points of the interval.
CoRR
Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
2021 J jnl
On (β, γ)-Chebyshev functions and points of the interval.
J. Approx. Theory
Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
2021 J jnl
On Kosloff Tal-Ezer least-squares quadrature formulas.
CoRR
Giacomo Cappellazzo, Wolfgang Erb, Francesco Marchetti, Davide Poggiali
2021 J jnl
Score-oriented loss (SOL) functions.
CoRR
Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi
2021 J jnl
Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) method.
Comput. Appl. Math.
Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
2021 J jnl
Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) method.
CoRR
Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
2021 J jnl
The extension of Rippa's algorithm beyond LOOCV.
Appl. Math. Lett.
Francesco Marchetti
2020 — conf
A Hybrid Neural Network-Genetic Programming Intelligent Control Approach.
BIOMA
Francesco Marchetti, Edmondo A. Minisci
2020 J jnl
Classifying Intelligence in Machines: A Taxonomy of Intelligent Control.
Robotics
Callum Wilson, Francesco Marchetti, Marilena Di Carlo, Annalisa Riccardi, Edmondo A. Minisci
2020 A* conf
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction.
CVPR
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
2020 J jnl
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction.
CoRR
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
2020 J jnl
Polynomial interpolation via mapped bases without resampling.
J. Comput. Appl. Math.
Stefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali
2020 J jnl
Shape-Driven Interpolation With Discontinuous Kernels: Error Analysis, Edge Extraction, and Applications in Magnetic Particle Imaging.
SIAM J. Sci. Comput.
Stefano De Marchi, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, M. Rossini
2020 B conf
Towards Intelligent Control via Genetic Programming.
IJCNN
Francesco Marchetti, Edmondo A. Minisci, Annalisa Riccardi
2020 J jnl
Treating the Gibbs phenomenon in barycentric rational interpolation and approximation via the S-Gibbs algorithm.
Appl. Math. Lett.
Jean-Paul Berrut, Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
2020 — conf
Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts.
EAIS
Francesco Marchetti, Fabio De Martino, Marie Shamseddin, Stefano De Marchi, Cathrin Brisken
2019 — conf
Intelligent Control: A Taxonomy.
ICSC
Callum Wilson, Francesco Marchetti, Marilena Di Carlo, Annalisa Riccardi, Edmondo A. Minisci
2015 — conf
A logical exposition of dirac 3-polarizer experiment and its potential impact on computational biology.
BCB
Wen-Ran Zhang, Francesco Marchetti