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Davide Poggiali
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2020 – today
- 2023
- [i7]Monica Dessole, Marta Gatto, Davide Poggiali, Francesca Tedeschi:
Exact sinogram: an analytical approach to the Radon transform of phantoms. CoRR abs/2302.06283 (2023) - 2022
- [i6]Stefano De Marchi, Federico Lot, Francesco Marchetti, Davide Poggiali:
Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications. CoRR abs/2202.09779 (2022) - [i5]Davide Poggiali, Diego Cecchin, Stefano De Marchi:
Reducing the Gibbs effect in multimodal medical imaging by the Fake Nodes Approach. CoRR abs/2202.10325 (2022) - [i4]Giacomo Elefante
, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, Davide Poggiali, Gabriele Santin:
Interpolation with the polynomial kernels. CoRR abs/2212.07658 (2022) - 2021
- [j2]Stefano De Marchi
, Francesco Marchetti
, Emma Perracchione
, Davide Poggiali
:
Multivariate approximation at fake nodes. Appl. Math. Comput. 391: 125628 (2021) - [i3]Davide Poggiali, Diego Cecchin, Cristina Campi, Stefano De Marchi:
Oversampling errors in multimodal medical imaging are due to the Gibbs effect. CoRR abs/2103.05964 (2021) - [i2]Giacomo Cappellazzo, Wolfgang Erb, Francesco Marchetti, Davide Poggiali:
On Kosloff Tal-Ezer least-squares quadrature formulas. CoRR abs/2109.13138 (2021) - 2020
- [j1]Stefano De Marchi
, Francesco Marchetti
, Emma Perracchione
, Davide Poggiali
:
Polynomial interpolation via mapped bases without resampling. J. Comput. Appl. Math. 364 (2020)
2010 – 2019
- 2018
- [i1]Micah Allen, Davide Poggiali
, Kirstie J. Whitaker
, Tom R. Marshall
, Rogier A. Kievit
:
Raincloud plots: a multi-platform tool for robust data visualization. PeerJ Prepr. 6: e27137 (2018)
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