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Francesco Marchetti
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2020 – today
- 2025
- [j22]Alessandro Simoni, Francesco Marchetti, Guido Borghi, Federico Becattini, Lorenzo Seidenari, Roberto Vezzani, Alberto Del Bimbo:
3D Pose Nowcasting: Forecast the future to improve the present. Comput. Vis. Image Underst. 251: 104233 (2025) - 2024
- [j21]Francesco Marchetti
:
A fast surrogate cross validation algorithm for meshfree RBF collocation approaches. Appl. Math. Comput. 481: 128943 (2024) - [j20]Francesco Marchetti
Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation. Appl. Soft Comput. 159: 111654 (2024) - [j19]Francesco Marchetti, Federico Becattini
SMEMO: Social Memory for Trajectory Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4410-4425 (2024) - [j18]Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione:
Classifier-dependent feature selection via greedy methods. Stat. Comput. 34(5): 151 (2024) - [j17]Tizian Wenzel, Francesco Marchetti
Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective. SIAM J. Sci. Comput. 46(1): 101- (2024) - [j16]Quentin Guimard, Lucile Sassatelli, Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo:
Deep Variational Learning for 360° Adaptive Streaming. ACM Trans. Multim. Comput. Commun. Appl. 20(9): 263:1-263:25 (2024) - [c12]Francesco Marchetti
Full Inclusive Genetic Programming. CEC 2024: 1-8 - [i25]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 abs/2401.01104 (2024) - [i24]Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione:
Greedy feature selection: Classifier-dependent feature selection via greedy methods. CoRR abs/2403.05138 (2024) - [i23]Alessandro Simoni, Francesco Marchetti, Guido Borghi, Federico Becattini, Davide Davoli, Lorenzo Garattoni, Gianpiero Francesca, Lorenzo Seidenari, Roberto Vezzani:
Depth-based Privileged Information for Boosting 3D Human Pose Estimation on RGB. CoRR abs/2409.11104 (2024) - 2023
- [j15]Francesco Marchetti, Federico Becattini
Multiple Trajectory Prediction of Moving Agents With Memory Augmented Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6688-6702 (2023) - [c11]Francesco Marchetti
Mapped Variably Scaled Kernels: Applications to Solar Imaging. ICCSA (Workshops 5) 2023: 577-592 - [i22]Tizian Wenzel, Francesco Marchetti, Emma Perracchione:
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective. CoRR abs/2301.08047 (2023) - [i21]Mohammad Karimnejad Esfahani, Stefano De Marchi, Francesco Marchetti:
Moving Least Squares Approximation using Variably Scaled Discontinuous Weight Function. CoRR abs/2302.02707 (2023) - [i20]Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana:
Mapped Variably Scaled Kernels: Applications to Solar Imaging. CoRR abs/2304.00975 (2023) - [i19]Stefano De Marchi, Giacomo Elefante, Francesco Marchetti:
More properties of (β, γ)-Chebyshev functions and points. CoRR abs/2305.03370 (2023) - [i18]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 abs/2305.10057 (2023) - [i17]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 abs/2305.13472 (2023) - [i16]Francesco Marchetti:
A fast surrogate cross validation algorithm for meshfree RBF collocation approaches. CoRR abs/2307.07632 (2023) - [i15]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 abs/2308.12914 (2023) - 2022
- [j14]Leevan Ling, Francesco Marchetti
A stochastic extended Rippa's algorithm for LpOCV. Appl. Math. Lett. 129: 107955 (2022) - [j13]Francesco Marchetti
Efficient Reduced Basis Algorithm (ERBA) for Kernel-Based Approximation. J. Sci. Comput. 91(2): 41 (2022) - [j12]Francesco Marchetti
Score-Oriented Loss (SOL) functions. Pattern Recognit. 132: 108913 (2022) - [j11]Francesco Marchetti
Local-to-Global Support Vector Machines (LGSVMs). Pattern Recognit. 132: 108920 (2022) - [j10]Francesco Marchetti
Convergence Results in Image Interpolation With the Continuous SSIM. SIAM J. Imaging Sci. 15(4): 1977-1999 (2022) - [c10]Francesco Marchetti
Explainable Sparse Attention for Memory-Based Trajectory Predictors. ECCV Workshops (5) 2022: 543-560 - [c9]Quentin Guimard
Deep variational learning for multiple trajectory prediction of 360° head movements. MMSys 2022: 12-26 - [i14]Stefano De Marchi, Federico Lot, Francesco Marchetti, Davide Poggiali:
Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications. CoRR abs/2202.09779 (2022) - [i13]Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo:
SMEMO: Social Memory for Trajectory Forecasting. CoRR abs/2203.12446 (2022) - [i12]Stefano De Marchi, Giacomo Elefante
Polynomial mapped bases: theory and applications. CoRR abs/2204.01555 (2022) - [i11]Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana:
Operational solar flare forecasting via video-based deep learning. CoRR abs/2209.05128 (2022) - [i10]Giacomo Elefante
Interpolation with the polynomial kernels. CoRR abs/2212.07658 (2022) - 2021
- [j9]Cristina Campi
Learning via variably scaled kernels. Adv. Comput. Math. 47(4): 51 (2021) - [j8]Stefano De Marchi
Multivariate approximation at fake nodes. Appl. Math. Comput. 391: 125628 (2021) - [j7]Francesco Marchetti
The extension of Rippa's algorithm beyond LOOCV. Appl. Math. Lett. 120: 107262 (2021) - [j6]Stefano De Marchi
Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) method. Comput. Appl. Math. 40(8) (2021) - [j5]Stefano De Marchi
On (β, γ)-Chebyshev functions and points of the interval. J. Approx. Theory 271: 105634 (2021) - [c8]Francesco Marchetti
Inclusive Genetic Programming. EuroGP 2021: 51-65 - [c7]Francesco Marchetti
Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation. EvoMUSART 2021: 187-202 - [i9]Stefano De Marchi, Giacomo Elefante, Francesco Marchetti:
On (β, γ)-Chebyshev functions and points of the interval. CoRR abs/2102.04126 (2021) - [i8]Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi:
Score-oriented loss (SOL) functions. CoRR abs/2103.15522 (2021) - [i7]Stefano De Marchi, Giacomo Elefante, Francesco Marchetti:
Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) method. CoRR abs/2105.09661 (2021) - [i6]Francesco Marchetti, Emma Perracchione:
Efficient Reduced Basis Algorithm (ERBA) for kernel-based approximation. CoRR abs/2107.03112 (2021) - [i5]Francesco Marchetti, Gabriele Santin:
Convergence analysis for image interpolation in terms of the cSSIM. CoRR abs/2108.03879 (2021) - [i4]Giacomo Cappellazzo, Wolfgang Erb, Francesco Marchetti, Davide Poggiali:
On Kosloff Tal-Ezer least-squares quadrature formulas. CoRR abs/2109.13138 (2021) - [i3]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 abs/2110.12554 (2021) - [i2]Leevan Ling, Francesco Marchetti:
A stochastic extended Rippa's algorithm for LpOCV. CoRR abs/2111.10782 (2021) - 2020
- [j4]Jean-Paul Berrut, Stefano De Marchi
Treating the Gibbs phenomenon in barycentric rational interpolation and approximation via the S-Gibbs algorithm. Appl. Math. Lett. 103: 106196 (2020) - [j3]Stefano De Marchi
Polynomial interpolation via mapped bases without resampling. J. Comput. Appl. Math. 364 (2020) - [j2]Callum Wilson
Classifying Intelligence in Machines: A Taxonomy of Intelligent Control. Robotics 9(3): 64 (2020) - [j1]Stefano De Marchi
Shape-Driven Interpolation With Discontinuous Kernels: Error Analysis, Edge Extraction, and Applications in Magnetic Particle Imaging. SIAM J. Sci. Comput. 42(2): B472-B491 (2020) - [c6]Francesco Marchetti
A Hybrid Neural Network-Genetic Programming Intelligent Control Approach. BIOMA 2020: 240-254 - [c5]Francesco Marchetti, Federico Becattini
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction. CVPR 2020: 7141-7150 - [c4]Francesco Marchetti
Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts. EAIS 2020: 1-6 - [c3]Francesco Marchetti
Towards Intelligent Control via Genetic Programming. IJCNN 2020: 1-8 - [i1]Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo:
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction. CoRR abs/2006.03340 (2020)
2010 – 2019
- 2019
- [c2]Callum Wilson
Intelligent Control: A Taxonomy. ICSC 2019: 333-339 - 2015
- [c1]Wen-Ran Zhang, Francesco Marchetti:
A logical exposition of dirac 3-polarizer experiment and its potential impact on computational biology. BCB 2015: 517-518
Coauthor Index
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