Salvatore Cuomo

About Salvatore Cuomo

Salvatore Cuomo, With an exceptional h-index of 29 and a recent h-index of 22 (since 2020), a distinguished researcher at Università degli Studi di Napoli Federico II, specializes in the field of Numerical Analysis, Inverse Problems, Data Science, Internet of Things, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Speckle noise removal via learned variational models

Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy

A physics-informed deep learning approach for solving strongly degenerate parabolic problems

Magnetic resonance imaging enhancement using prior knowledge and a denoising scheme that combines total variation and histogram matching techniques

Modelling the COVID-19 infection rate through a Physics-Informed learning approach

Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity

A linear algebra approach to HP-splines frequency parameter selection

ENCODE-Ensemble neural combination for optimal dimensionality encoding in time-series forecasting

Salvatore Cuomo Information

University

Position

Associate Professor of Numerical Analysis

Citations(all)

3550

Citations(since 2020)

2671

Cited By

1575

hIndex(all)

29

hIndex(since 2020)

22

i10Index(all)

83

i10Index(since 2020)

57

Email

University Profile Page

Google Scholar

Salvatore Cuomo Skills & Research Interests

Numerical Analysis

Inverse Problems

Data Science

Internet of Things

Machine Learning

Top articles of Salvatore Cuomo

Speckle noise removal via learned variational models

Applied Numerical Mathematics

2024/6/1

Salvatore Cuomo
Salvatore Cuomo

H-Index: 20

Francesco Piccialli
Francesco Piccialli

H-Index: 25

Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy

Mathematics and Computers in Simulation

2024/4/23

Salvatore Cuomo
Salvatore Cuomo

H-Index: 20

Francesco Piccialli
Francesco Piccialli

H-Index: 25

A physics-informed deep learning approach for solving strongly degenerate parabolic problems

Engineering with Computers

2024/4/8

Salvatore Cuomo
Salvatore Cuomo

H-Index: 20

Magnetic resonance imaging enhancement using prior knowledge and a denoising scheme that combines total variation and histogram matching techniques

Frontiers in Applied Mathematics and Statistics

2023/3/2

Vincenzo Schiano Di Cola
Vincenzo Schiano Di Cola

H-Index: 4

Salvatore Cuomo
Salvatore Cuomo

H-Index: 20

Modelling the COVID-19 infection rate through a Physics-Informed learning approach

2023/3/1

Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity

2023/3/1

A linear algebra approach to HP-splines frequency parameter selection

Applied Mathematics and Computation

2023/12/1

Costanza Conti
Costanza Conti

H-Index: 16

Salvatore Cuomo
Salvatore Cuomo

H-Index: 20

ENCODE-Ensemble neural combination for optimal dimensionality encoding in time-series forecasting

Information Fusion

2023/12/1

Time discretization in the solution of parabolic PDEs with ANNs

Applied Mathematics and Computation

2023/12/1

A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning

2023/11/14

Prediction method and related system

2023/10/19

Solving groundwater flow equation using physics-informed neural networks

Computers & Mathematics with Applications

2023/9/1

Meshless methods for American option pricing through physics-informed neural networks

Engineering Analysis with Boundary Elements

2023/6/1

Statistical arbitrage in the stock markets by the means of multiple time horizons clustering

Neural Computing and Applications

2023/6

Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization

Journal of Computational and Applied Mathematics

2023/5/15

Salvatore Cuomo
Salvatore Cuomo

H-Index: 20

A physics-informed learning approach to Bernoulli-type free boundary problems

Computers & Mathematics with Applications

2022/12/15

Cut the peaches: image segmentation for utility pattern mining in food processing

2022/11/28

A machine learning-based approach for mercury detection in marine waters

2022/11/28

Neural networks generative models for time series

2022/11/1

The BIOCHIP project: A Deep Learning approach for multiwell segmentation

2022/9/12

See List of Professors in Salvatore Cuomo University(Università degli Studi di Napoli Federico II)

Co-Authors

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