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ORCIDDanilo Costarelli
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2020 – today
- 2024
[j25]Lucian C. Coroianu, Danilo Costarelli
, Mariarosaria Natale, Alexandra Pantis:
The approximation capabilities of Durrmeyer-type neural network operators. J. Appl. Math. Comput. 70(5): 4581-4599 (2024)- [j24]Lorenzo Boccali, Danilo Costarelli, Gianluca Vinti:
Convergence results in Orlicz spaces for sequences of max-product sampling Kantorovich operators. J. Comput. Appl. Math. 449: 115957 (2024) - 2023
- [j23]Aleksandra Maria Osowska-Kurczab, Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent, Szczepan Cierniak, Danilo Costarelli, Marco Seracini, Gianluca Vinti:
Improvement of renal image recognition through resolution enhancement. Expert Syst. Appl. 213(Part): 118836 (2023) - [j22]Danilo Costarelli:
Approximation error for neural network operators by an averaged modulus of smoothness. J. Approx. Theory 294: 105944 (2023) - [j21]Danilo Costarelli:
Preface: Special issue on approximation by linear and nonlinear operators with applications. Part III. Math. Found. Comput. 6(1): i-ii (2023) - 2022
- [j20]Carlo Cagini, Danilo Costarelli, R. Gujar, Marco Lupidi, G. A. Lutty, Marco Seracini, Gianluca Vinti:
Improvement of retinal OCT angiograms by Sampling Kantorovich algorithm in the assessment of retinal and choroidal perfusion. Appl. Math. Comput. 427: 127152 (2022) - [j19]Danilo Costarelli:
Preface: Special issue on approximation by linear and nonlinear operators with applications. Part Ⅱ. Math. Found. Comput. 5(3): i (2022) - [j18]Danilo Costarelli:
Density Results by Deep Neural Network operators with Integer weights. Math. Model. Anal. 27(4): 547-560 (2022) - 2021
- [j17]Danilo Costarelli:
Preface: Special issue on approximation by linear and nonlinear operators with applications. Part I. Math. Found. Comput. 4(4): i (2021) - [j16]Danilo Costarelli, Pietro Pozzilli, Marco Seracini, Gianluca Vinti:
Enhancement of Cone-Beam Computed Tomography Dental-Maxillofacial Images by Sampling Kantorovich Algorithm. Symmetry 13(8): 1450 (2021) - 2020
- [j15]Danilo Costarelli, Marco Seracini, Gianluca Vinti:
A comparison between the sampling Kantorovich algorithm for digital image processing with some interpolation and quasi-interpolation methods. Appl. Math. Comput. 374: 125046 (2020) - [j14]Danilo Costarelli, Gianluca Vinti:
Asymptotic expansions and Voronovskaja type theorems for the multivariate neural network operators. Math. Found. Comput. 3(1): 41-50 (2020)
2010 – 2019
- 2019
- [j13]Lucian C. Coroianu, Danilo Costarelli, Sorin G. Gal, Gianluca Vinti:
The max-product generalized sampling operators: convergence and quantitative estimates. Appl. Math. Comput. 355: 173-183 (2019) - [j12]Danilo Costarelli, Aleksandr V. Krivoshein, Maria Skopina, Gianluca Vinti:
Quasi-projection operators with applications to differential-difference expansions. Appl. Math. Comput. 363 (2019) - [j11]Danilo Costarelli:
Approximate solutions of Volterra integral equations by an interpolation method based on ramp functions. Comput. Appl. Math. 38(4) (2019) - [j10]Danilo Costarelli, Gianluca Vinti:
Inverse results of approximation and the saturation order for the sampling Kantorovich series. J. Approx. Theory 242: 64-82 (2019) - [j9]Danilo Costarelli, Anna Rita Sambucini, Gianluca Vinti:
Convergence in Orlicz spaces by means of the multivariate max-product neural network operators of the Kantorovich type and applications. Neural Comput. Appl. 31(9): 5069-5078 (2019) - 2018
- [j8]Francesco Asdrubali, Giorgio Baldinelli, Francesco Bianchi, Danilo Costarelli, Antonella Rotili, Marco Seracini, Gianluca Vinti:
Detection of thermal bridges from thermographic images by means of image processing approximation algorithms. Appl. Math. Comput. 317: 160-171 (2018) - [c1]Danilo Costarelli, Marco Seracini, Gianluca Vinti:
Approximation Problems for Digital Image Processing and Applications. ICCSA (1) 2018: 19-31 - 2016
- [j7]Danilo Costarelli, Gianluca Vinti:
Max-product neural network and quasi-interpolation operators activated by sigmoidal functions. J. Approx. Theory 209: 1-22 (2016) - [j6]Danilo Costarelli, Gianluca Vinti:
Pointwise and uniform approximation by multivariate neural network operators of the max-product type. Neural Networks 81: 81-90 (2016) - 2015
- [j5]Danilo Costarelli:
Neural network operators: Constructive interpolation of multivariate functions. Neural Networks 67: 28-36 (2015) - 2014
- [j4]Danilo Costarelli, Renato Spigler:
Convergence of a family of neural network operators of the Kantorovich type. J. Approx. Theory 185: 80-90 (2014) - [i1]Danilo Costarelli, Federico Cluni, Anna Maria Minotti, Gianluca Vinti:
Applications of sampling Kantorovich operators to thermographic images for seismic engineering. CoRR abs/1411.2584 (2014) - 2013
- [j3]Danilo Costarelli, Matteo Laurenzi, Renato Spigler:
Asymptotic-numerical solution of nonlinear systems of one-dimensional balance laws. J. Comput. Phys. 245: 347-363 (2013) - [j2]Danilo Costarelli, Renato Spigler:
Approximation results for neural network operators activated by sigmoidal functions. Neural Networks 44: 101-106 (2013) - [j1]Danilo Costarelli, Renato Spigler:
Multivariate neural network operators with sigmoidal activation functions. Neural Networks 48: 72-77 (2013)
Coauthor Index
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