Sfoglia per Autore
Speckle noise removal via learned variational models
2024 Cuomo, S.; De Rosa, M.; Izzo, S.; Piccialli, F.; Pragliola, M.
Benchmarking Federated Learning on High-Performance Computing: Aggregation Methods and Their Impact
2024 Annunziata, D.; Canzaniello, M.; Savoia, M.; Cuomo, S.; Piccialli, F.
Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy
2024 Cuomo, S.; De Rosa, M.; Piccialli, F.; Pompameo, L.
Unveiling the Potential of Machine Learning in Activity Recognition for Industry 4.0
2024 Chiaro, D.; Pian, Qi; DE ROSA, Mariapia; Cuomo, S.; Piccialli, F.
Modelling the COVID-19 infection rate through a Physics-Informed learning approach
2023 De Rosa, M.; Giampaolo, F.; Piccialli, F.; Cuomo, S.
Meshless methods for American option pricing through Physics-Informed Neural Networks
2023 Gatta, F.; Di Cola, V. S.; Giampaolo, F.; Piccialli, F.; Cuomo, S.
Magnetic resonance imaging enhancement using prior knowledge and a denoising scheme that combines total variation and histogram matching techniques
2023 Schiano Di Cola, V.; Mango, D. M. L.; Bottino, A.; Andolfo, L.; Cuomo, S.
Statistical arbitrage in the stock markets by the means of multiple time horizons clustering
2023 Gatta, Federico; Iorio, Carmela; Chiaro, Diletta; Giampaolo, Fabio; Cuomo, Salvatore
A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning
2023 Giampaolo, F.; Izzo, S.; Prezioso, E.; Chiaro, D.; Cuomo, S.; Bellandi, V.; Piccialli, F.
A linear algebra approach to HP-splines frequency parameter selection
2023 Campagna, R.; Conti, C.; Cuomo, S.
Solving groundwater flow equation using physics-informed neural networks
2023 Cuomo, S.; De Rosa, M.; Giampaolo, F.; Izzo, S.; Schiano Di Cola, V.
Time discretization in the solution of parabolic PDEs with ANNs
2023 Calabro', Francesco; Cuomo, Salvatore; DI SERAFINO, Daniela; Izzo, Giuseppe; Messina, Eleonora
ENCODE - Ensemble neural combination for optimal dimensionality encoding in time-series forecasting
2023 Giampaolo, F.; Gatta, F.; Prezioso, E.; Cuomo, S.; Zhou, M.; Fortino, G.; Piccialli, F.
Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity
2023 Galuzzi, B. G.; Izzo, S.; Giampaolo, F.; Cuomo, S.; Vanoni, M. E.; Alberghina, L.; Damiani, C.; Piccialli, F.
Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization
2023 Cuomo, S.; Erb, W.; Santin, G.
A Generative Adversarial Network Approach for Noise and Artifacts Reduction in MRI Head and Neck Imaging
2023 Cuomo, S.; Fato, F.; Ugga, L.; Spadarella, G.; Cuocolo, R.; Giampaolo, F.; Piccialli, F.
Deep Learning for the Approximation of a Shape Functional
2022 Calabrò, Francesco; Cuomo, Salvatore; Giampaolo, Fabio; Izzo, Stefano; Nitsch, Carlo; Piccialli, Francesco; Trombetti, Cristina
An unsupervised learning framework for marketneutral portfolio
2022 Cuomo, S.; Gatta, F.; Giampaolo, F.; Iorio, C.; Piccialli, F.
Neural networks generative models for time series
2022 Gatta, F.; Giampaolo, F.; Prezioso, E.; Mei, G.; Cuomo, S.; Piccialli, F.
Effects of spatial decomposition on the efficiency of kNN search in spatial interpolations
2022 Fan, N.; Mei, G.; Ding, Z.; Cuomo, S.; Xu, N.
Titolo | Tipologia | Data di pubblicazione | Autore(i) | File |
---|---|---|---|---|
Speckle noise removal via learned variational models | 1.1 Articolo in rivista | 2024 | Cuomo, S.; De Rosa, M.; Izzo, S.; Piccialli, F.; Pragliola, M. | |
Benchmarking Federated Learning on High-Performance Computing: Aggregation Methods and Their Impact | 4.1 Articoli in Atti di convegno | 2024 | Annunziata, D.; Canzaniello, M.; Savoia, M.; Cuomo, S.; Piccialli, F. | |
Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy | 1.1 Articolo in rivista | 2024 | Cuomo, S.; De Rosa, M.; Piccialli, F.; Pompameo, L. | |
Unveiling the Potential of Machine Learning in Activity Recognition for Industry 4.0 | 2.1 Contributo in volume (Capitolo o Saggio) | 2024 | Chiaro, D.; Pian, Qi; DE ROSA, Mariapia; Cuomo, S.; Piccialli, F. | |
Modelling the COVID-19 infection rate through a Physics-Informed learning approach | 4.1 Articoli in Atti di convegno | 2023 | De Rosa, M.; Giampaolo, F.; Piccialli, F.; Cuomo, S. | |
Meshless methods for American option pricing through Physics-Informed Neural Networks | 1.1 Articolo in rivista | 2023 | Gatta, F.; Di Cola, V. S.; Giampaolo, F.; Piccialli, F.; Cuomo, S. | |
Magnetic resonance imaging enhancement using prior knowledge and a denoising scheme that combines total variation and histogram matching techniques | 1.1 Articolo in rivista | 2023 | Schiano Di Cola, V.; Mango, D. M. L.; Bottino, A.; Andolfo, L.; Cuomo, S. | |
Statistical arbitrage in the stock markets by the means of multiple time horizons clustering | 1.1 Articolo in rivista | 2023 | Gatta, Federico; Iorio, Carmela; Chiaro, Diletta; Giampaolo, Fabio; Cuomo, Salvatore | |
A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning | 4.1 Articoli in Atti di convegno | 2023 | Giampaolo, F.; Izzo, S.; Prezioso, E.; Chiaro, D.; Cuomo, S.; Bellandi, V.; Piccialli, F. | |
A linear algebra approach to HP-splines frequency parameter selection | 1.1 Articolo in rivista | 2023 | Campagna, R.; Conti, C.; Cuomo, S. | |
Solving groundwater flow equation using physics-informed neural networks | 1.1 Articolo in rivista | 2023 | Cuomo, S.; De Rosa, M.; Giampaolo, F.; Izzo, S.; Schiano Di Cola, V. | |
Time discretization in the solution of parabolic PDEs with ANNs | 1.1 Articolo in rivista | 2023 | Calabro', Francesco; Cuomo, Salvatore; DI SERAFINO, Daniela; Izzo, Giuseppe; Messina, Eleonora | |
ENCODE - Ensemble neural combination for optimal dimensionality encoding in time-series forecasting | 1.1 Articolo in rivista | 2023 | Giampaolo, F.; Gatta, F.; Prezioso, E.; Cuomo, S.; Zhou, M.; Fortino, G.; Piccialli, F. | |
Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity | 4.1 Articoli in Atti di convegno | 2023 | Galuzzi, B. G.; Izzo, S.; Giampaolo, F.; Cuomo, S.; Vanoni, M. E.; Alberghina, L.; Damiani, C.; Piccialli, F. | |
Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization | 1.1 Articolo in rivista | 2023 | Cuomo, S.; Erb, W.; Santin, G. | |
A Generative Adversarial Network Approach for Noise and Artifacts Reduction in MRI Head and Neck Imaging | 4.1 Articoli in Atti di convegno | 2023 | Cuomo, S.; Fato, F.; Ugga, L.; Spadarella, G.; Cuocolo, R.; Giampaolo, F.; Piccialli, F. | |
Deep Learning for the Approximation of a Shape Functional | 5.14 Altro ministeriale | 2022 | Calabrò, Francesco; Cuomo, Salvatore; Giampaolo, Fabio; Izzo, Stefano; Nitsch, Carlo; Piccialli, Francesco; Trombetti, Cristina | |
An unsupervised learning framework for marketneutral portfolio | 1.1 Articolo in rivista | 2022 | Cuomo, S.; Gatta, F.; Giampaolo, F.; Iorio, C.; Piccialli, F. | |
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. | |
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. |
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