Francesco Marchetti
Orcid: 0000-0003-4552-0467
According to our database1,
Francesco Marchetti
authored at least 49 papers
between 2015 and 2025.
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Bibliography
2025
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics.
Optim. Lett., January, 2025
Comput. Vis. Image Underst., 2025
2024
Stat. Comput., October, 2024
ACM Trans. Multim. Comput. Commun. Appl., September, 2024
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024
Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective.
SIAM J. Sci. Comput., February, 2024
CoRR, 2024
CoRR, 2024
Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation.
Appl. Soft Comput., 2024
Appl. Math. Comput., 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Physics-driven machine learning for the prediction of coronal mass ejections' travel times.
CoRR, 2023
Moving Least Squares Approximation using Variably Scaled Discontinuous Weight Function.
CoRR, 2023
Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023
2022
SIAM J. Imaging Sci., December, 2022
J. Sci. Comput., 2022
CoRR, 2022
Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data.
CoRR, 2021
Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) method.
Comput. Appl. Math., 2021
Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2021
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.
SIAM J. Sci. Comput., 2020
Robotics, 2020
J. Comput. Appl. Math., 2020
Treating the Gibbs phenomenon in barycentric rational interpolation and approximation via the S-Gibbs algorithm.
Appl. Math. Lett., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020
2019
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.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015