CUOMO, SALVATORE
CUOMO, SALVATORE
Dipartimento di Matematica e Applicazioni "Renato Caccioppoli"
A physics-informed learning approach to Bernoulli-type free boundary problems
2022 Cuomo, Salvatore; Giampaolo, Fabio; Izzo, Stefano; Nitsch, Carlo; Piccialli, Francesco; Trombetti, Cristina
Neural networks generative models for time series
2022 Gatta, F.; Giampaolo, F.; Prezioso, E.; Mei, G.; Cuomo, S.; Piccialli, F.
Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction
2022 Ma, Z.; Mei, G.; Cuomo, S.; Piccialli, F.
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
2022 Cuomo, S.; Di Cola, V. S.; Giampaolo, F.; Rozza, G.; Raissi, M.; Piccialli, F.
Nonlinear Galerkin methods for a system of PDEs with Turing instabilities
2018 Spiliotis, Konstantinos; Russo, Lucia; Giannino, Francesco; Cuomo, Salvatore; Siettos, Konstantinos; Toraldo, Gerardo
A class of universal approximators of real continuous functions revisited
2018 Giannino, Francesco; Russo, Lucia; Cuomo, Salvatore; Siettos, Konstantinos
Deep Learning for the Approximation of a Shape Functional
2022 Calabro', Francesco; Cuomo, Salvatore; Giampaolo, Fabio; Izzo, Stefano; Nitsch, Carlo; Piccialli, Francesco; Trombetti, Cristina
A machine learning-enhanced biosensor for mercury detection based on an hydrophobin chimera
2022 Pennacchio, A.; Giampaolo, F.; Piccialli, F.; Cuomo, S.; Notomista, E.; Spinelli, M.; Amoresano, A.; Piscitelli, A.; Giardina, P.
EEG signal analysis for epileptic seizures detection by applying Data Mining techniques
2021 Zazzaro, Gaetano; Cuomo, Salvatore; Martone, Angelo; Montaquila, ROBERTO VALENTINO; Toraldo, Gerardo; Pavone, Luigi
Data analysis and mining of the correlations between meteorological conditions and air quality: A case study in Beijing
2021 Qi, Xiaoyu; Mei, Gang; Cuomo, Salvatore; Liu, Chun; Xu, Nengxiong
Remarks on the numerical approximation of Dirac delta functions
2021 Schiano Di Cola, V.; Cuomo, S.; Severino, G.
An efficient localized meshless method based on the space–time gaussian rbf for high-dimensional space fractional wave and damped equations
2021 Raei, M.; Cuomo, S.
Effects of spatial decomposition on the efficiency of kNN search in spatial interpolations
2022 Fan, N.; Mei, G.; Ding, Z.; Cuomo, S.; Xu, N.
An unsupervised learning framework for marketneutral portfolio
2022 Cuomo, S.; Gatta, F.; Giampaolo, F.; Iorio, C.; Piccialli, F.
A Machine Learning Approach in Stock Risk Management
2021 Cuomo, Salvatore; Gatta, Federico; Giampaolo, Fabio; Iorio, Carmela; Piccialli, Francesco
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data
2021 Piccialli, F.; Giampaolo, F.; Prezioso, E.; Crisci, D.; Cuomo, S.
The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic
2021 Piccialli, F.; schiano di cola, Vincenzo; Giampaolo, F.; Cuomo, S.
A robust ensemble technique in forecasting workload of local healthcare departments
2021 Piccialli, F.; Giampaolo, F.; Salvi, A.; Cuomo, S.
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors
2021 Ma, Z.; Mei, G.; Cuomo, S.
Solving 3-d gray–scott systems with variable diffusion coefficients on surfaces by closest point method with rbf-fd
2021 Raei, M.; Cuomo, S.; Colecchia, G.; Severino, G.
Titolo | Tipologia | Data di pubblicazione | Autore(i) | File |
---|---|---|---|---|
A physics-informed learning approach to Bernoulli-type free boundary problems | 1.1 Articolo in rivista | 2022 | Cuomo, Salvatore; Giampaolo, Fabio; Izzo, Stefano; Nitsch, Carlo; Piccialli, Francesco; Trombetti, Cristina | |
Neural networks generative models for time series | 1.1 Articolo in rivista | 2022 | Gatta, F.; Giampaolo, F.; Prezioso, E.; Mei, G.; Cuomo, S.; Piccialli, F. | |
Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction | 1.1 Articolo in rivista | 2022 | Ma, Z.; Mei, G.; Cuomo, S.; Piccialli, F. | |
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next | 1.1 Articolo in rivista | 2022 | Cuomo, S.; Di Cola, V. S.; Giampaolo, F.; Rozza, G.; Raissi, M.; Piccialli, F. | |
Nonlinear Galerkin methods for a system of PDEs with Turing instabilities | 1.1 Articolo in rivista | 2018 | Spiliotis, Konstantinos; Russo, Lucia; Giannino, Francesco; Cuomo, Salvatore; Siettos, Konstantinos; Toraldo, Gerardo | |
A class of universal approximators of real continuous functions revisited | 1.1 Articolo in rivista | 2018 | Giannino, Francesco; Russo, Lucia; Cuomo, Salvatore; Siettos, Konstantinos | |
Deep Learning for the Approximation of a Shape Functional | 5.14 Altro ministeriale | 2022 | Calabro', Francesco; Cuomo, Salvatore; Giampaolo, Fabio; Izzo, Stefano; Nitsch, Carlo; Piccialli, Francesco; Trombetti, Cristina | |
A machine learning-enhanced biosensor for mercury detection based on an hydrophobin chimera | 1.1 Articolo in rivista | 2022 | Pennacchio, A.; Giampaolo, F.; Piccialli, F.; Cuomo, S.; Notomista, E.; Spinelli, M.; Amoresano, A.; Piscitelli, A.; Giardina, P. | |
EEG signal analysis for epileptic seizures detection by applying Data Mining techniques | 1.1 Articolo in rivista | 2021 | Zazzaro, Gaetano; Cuomo, Salvatore; Martone, Angelo; Montaquila, ROBERTO VALENTINO; Toraldo, Gerardo; Pavone, Luigi | |
Data analysis and mining of the correlations between meteorological conditions and air quality: A case study in Beijing | 1.1 Articolo in rivista | 2021 | Qi, Xiaoyu; Mei, Gang; Cuomo, Salvatore; Liu, Chun; Xu, Nengxiong | |
Remarks on the numerical approximation of Dirac delta functions | 1.1 Articolo in rivista | 2021 | Schiano Di Cola, V.; Cuomo, S.; Severino, G. | |
An efficient localized meshless method based on the space–time gaussian rbf for high-dimensional space fractional wave and damped equations | 1.1 Articolo in rivista | 2021 | Raei, M.; Cuomo, S. | |
Effects of spatial decomposition on the efficiency of kNN search in spatial interpolations | 1.1 Articolo in rivista | 2022 | Fan, N.; Mei, G.; Ding, Z.; Cuomo, S.; Xu, N. | |
An unsupervised learning framework for marketneutral portfolio | 1.1 Articolo in rivista | 2022 | Cuomo, S.; Gatta, F.; Giampaolo, F.; Iorio, C.; Piccialli, F. | |
A Machine Learning Approach in Stock Risk Management | 4.1 Articoli in Atti di convegno | 2021 | Cuomo, Salvatore; Gatta, Federico; Giampaolo, Fabio; Iorio, Carmela; Piccialli, Francesco | |
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data | 1.1 Articolo in rivista | 2021 | Piccialli, F.; Giampaolo, F.; Prezioso, E.; Crisci, D.; Cuomo, S. | |
The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic | 1.1 Articolo in rivista | 2021 | Piccialli, F.; schiano di cola, Vincenzo; Giampaolo, F.; Cuomo, S. | |
A robust ensemble technique in forecasting workload of local healthcare departments | 1.1 Articolo in rivista | 2021 | Piccialli, F.; Giampaolo, F.; Salvi, A.; Cuomo, S. | |
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors | 1.1 Articolo in rivista | 2021 | Ma, Z.; Mei, G.; Cuomo, S. | |
Solving 3-d gray–scott systems with variable diffusion coefficients on surfaces by closest point method with rbf-fd | 1.1 Articolo in rivista | 2021 | Raei, M.; Cuomo, S.; Colecchia, G.; Severino, G. |