Francesco Marchetti

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 55

Top Topics

Machine Learning

Genetic Programming

Intelligent Control

Image Interpolation

Top Venues

Appl. Math. Lett.

SIAM J. Sci. Comput.

Pattern Recognit.

Publications

Francesco Marchetti, Gloria Pietropolli, Federico Julian Camerota Verdù, Mauro Castelli, Edmondo A. Minisci
Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation. Appl. Soft Comput. 159 (2024)
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
SMEMO: Social Memory for Trajectory Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Tizian Wenzel, Francesco Marchetti, Emma Perracchione
Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective. SIAM J. Sci. Comput. 46 (1) (2024)
Francesco Marchetti, Mauro Castelli, Illya Bakurov, Leonardo Vanneschi
Full Inclusive Genetic Programming. CEC (2024)
Michele Piana, Federico Benvenuto, Anna Maria Massone, Cristina Campi, Sabrina Guastavino, Francesco Marchetti, Paolo Massa, Emma Perracchione, Anna Volpara
AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data. CoRR (2024)
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
Classifier-dependent feature selection via greedy methods. Stat. Comput. 34 (5) (2024)
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
Greedy feature selection: Classifier-dependent feature selection via greedy methods. CoRR (2024)
Francesco Marchetti
A fast surrogate cross validation algorithm for meshfree RBF collocation approaches. CoRR (2023)
Alessandro Simoni, Francesco Marchetti, Guido Borghi, Federico Becattini, Lorenzo Seidenari, Roberto Vezzani, Alberto Del Bimbo
Robot Pose Nowcasting: Forecast the Future to Improve the Present. CoRR (2023)
Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana
Mapped Variably Scaled Kernels: Applications to Solar Imaging. ICCSA (Workshops 5) (2023)
Sabrina Guastavino, Valentina Candiani, Alessandro Bemporad, Francesco Marchetti, Federico Benvenuto, Anna Maria Massone, Roberto Susino, Daniele Telloni, Silvano Fineschi, Michele Piana
Physics-driven machine learning for the prediction of coronal mass ejections' travel times. CoRR (2023)
Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana
Mapped Variably Scaled Kernels: Applications to Solar Imaging. CoRR (2023)
Francesco Marchetti, Sabrina Guastavino, Cristina Campi, Federico Benvenuto, Michele Piana
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics. CoRR (2023)
Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
More properties of (β, γ)-Chebyshev functions and points. CoRR (2023)
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
Multiple Trajectory Prediction of Moving Agents With Memory Augmented Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Mohammad Karimnejad Esfahani, Stefano De Marchi, Francesco Marchetti
Moving Least Squares Approximation using Variably Scaled Discontinuous Weight Function. CoRR (2023)
Tizian Wenzel, Francesco Marchetti, Emma Perracchione
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective. CoRR (2023)
Stefano De Marchi, Federico Lot, Francesco Marchetti, Davide Poggiali
Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications. CoRR (2022)
Giacomo Elefante, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, Davide Poggiali, Gabriele Santin
Interpolation with the polynomial kernels. CoRR (2022)
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
Explainable Sparse Attention for Memory-Based Trajectory Predictors. ECCV Workshops (5) (2022)
Francesco Marchetti, Gabriele Santin
Convergence Results in Image Interpolation With the Continuous SSIM. SIAM J. Imaging Sci. 15 (4) (2022)
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
SMEMO: Social Memory for Trajectory Forecasting. CoRR (2022)
Stefano De Marchi, Giacomo Elefante, Elisa Francomano, Francesco Marchetti
Polynomial mapped bases: theory and applications. CoRR (2022)
Leevan Ling, Francesco Marchetti
A stochastic extended Rippa's algorithm for LpOCV. Appl. Math. Lett. 129 (2022)
Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi
Score-Oriented Loss (SOL) functions. Pattern Recognit. 132 (2022)
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana
Operational solar flare forecasting via video-based deep learning. CoRR (2022)
Francesco Marchetti, Emma Perracchione
Efficient Reduced Basis Algorithm (ERBA) for Kernel-Based Approximation. J. Sci. Comput. 91 (2) (2022)
Francesco Marchetti, Emma Perracchione
Local-to-Global Support Vector Machines (LGSVMs). Pattern Recognit. 132 (2022)
Quentin Guimard, Lucile Sassatelli, Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
Deep variational learning for multiple trajectory prediction of 360° head movements. MMSys (2022)
Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
On (β, γ)-Chebyshev functions and points of the interval. J. Approx. Theory 271 (2021)
Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) method. Comput. Appl. Math. 40 (8) (2021)
Giacomo Cappellazzo, Wolfgang Erb, Francesco Marchetti, Davide Poggiali
On Kosloff Tal-Ezer least-squares quadrature formulas. CoRR (2021)
Leevan Ling, Francesco Marchetti
A stochastic extended Rippa's algorithm for LpOCV. CoRR (2021)
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana
Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data. CoRR (2021)
Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi
Score-oriented loss (SOL) functions. CoRR (2021)
Francesco Marchetti, Edmondo A. Minisci
Inclusive Genetic Programming. EuroGP (2021)
Francesco Marchetti, Gabriele Santin
Convergence analysis for image interpolation in terms of the cSSIM. CoRR (2021)
Stefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali
Multivariate approximation at fake nodes. Appl. Math. Comput. 391 (2021)
Francesco Marchetti, Emma Perracchione
Efficient Reduced Basis Algorithm (ERBA) for kernel-based approximation. CoRR (2021)
Francesco Marchetti, Callum Wilson, Cheyenne Powell, Edmondo A. Minisci, Annalisa Riccardi
Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation. EvoMUSART (2021)
Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) method. CoRR (2021)
Cristina Campi, Francesco Marchetti, Emma Perracchione
Learning via variably scaled kernels. Adv. Comput. Math. 47 (4) (2021)
Francesco Marchetti
The extension of Rippa's algorithm beyond LOOCV. Appl. Math. Lett. 120 (2021)
Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
On (β, γ)-Chebyshev functions and points of the interval. CoRR (2021)
Francesco Marchetti, Fabio De Martino, Marie Shamseddin, Stefano De Marchi, Cathrin Brisken
Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts. EAIS (2020)
Francesco Marchetti, Edmondo A. Minisci
A Hybrid Neural Network-Genetic Programming Intelligent Control Approach. BIOMA (2020)
Jean-Paul Berrut, Stefano De Marchi, Giacomo Elefante, Francesco Marchetti
Treating the Gibbs phenomenon in barycentric rational interpolation and approximation via the S-Gibbs algorithm. Appl. Math. Lett. 103 (2020)
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction. CVPR (2020)
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction. CoRR (2020)
Stefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali
Polynomial interpolation via mapped bases without resampling. J. Comput. Appl. Math. 364 (2020)
Stefano De Marchi, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, M. Rossini
Shape-Driven Interpolation With Discontinuous Kernels: Error Analysis, Edge Extraction, and Applications in Magnetic Particle Imaging. SIAM J. Sci. Comput. 42 (2) (2020)
Callum Wilson, Francesco Marchetti, Marilena Di Carlo, Annalisa Riccardi, Edmondo A. Minisci
Classifying Intelligence in Machines: A Taxonomy of Intelligent Control. Robotics 9 (3) (2020)
Francesco Marchetti, Edmondo A. Minisci, Annalisa Riccardi
Towards Intelligent Control via Genetic Programming. IJCNN (2020)
Callum Wilson, Francesco Marchetti, Marilena Di Carlo, Annalisa Riccardi, Edmondo A. Minisci
Intelligent Control: A Taxonomy. ICSC (2019)
Wen-Ran Zhang, Francesco Marchetti
A logical exposition of dirac 3-polarizer experiment and its potential impact on computational biology. BCB (2015)