STOLFI, PAOLA
STOLFI, PAOLA
Istituto per le applicazioni del calcolo "Mauro Picone" - IAC
Normal approximation of random Gaussian neural networks
2024 Apollonio, Nicola; DE CANDITIIS, Daniela; Franzina, Giovanni; Stolfi, Paola; Torrisi, GIOVANNI LUCA
Normal Approximation of Random Gaussian Neural Networks
2024 Apollonio, Nicola; DE CANDITIIS, Daniela; Franzina, Giovanni; Stolfi, Paola; Torrisi, GIOVANNI LUCA
Evaluation of COVID-19 vaccination protocols in an agent-based immune simulation platform
2023 Stolfi, Paola; Castiglione, Filippo; Mastrostefano, Enrico; Prisco, Antonella
NIAPU: Network-Informed Adaptive Positive-Unlabeled learning for disease gene identification
2023 Stolfi, Paola; Mastropietro, Andrea; Pasculli, Giuseppe; Tieri, Paolo; Vergni, Davide
Towards a digital twin for personalized diabetes prevention: the PRAESIIDIUM project
2023 Paglialonga A.; Lenatti M.; Simeone D.; De Paola P.F.; Carlevaro A.; Mongelli M.; Dabbene F.; Castiglione F.; Palumbo M.C.; Stolfi P.; Tieri P.
DruSiLa: an integrated, in-silico disease similarity-based approach for drug repurposing
2022 Amatya, Pratuat; Stolfi, Paola; Lombardi, Flavio; Tieri, Paolo
Network Proximity-Based Drug Repurposing Strategy for Early and Late Stages of Primary Biliary Cholangitis
2022 Shahini, ; Endrit, ; Pasculli, ; Giuseppe, ; Mastropietro, ; Andrea, ; Stolfi, Paola; Stolfi, Paola; Tieri, Paolo; Tieri, Paolo; Vergni, Davide; Vergni, Davide; Cozzolongo, ; Raffaele, ; Pesce, ; Francesco, ; Giannelli, ; Gianluigi,
Robust estimation of time-dependent precision matrix with application to the cryptocurrency market
2022 Paola Stolfi; Mauro Bernardi; Davide Vergni
Emulating complex simulations by machine learning methods
2021 Stolfi P.; Castiglione F.
Designing a Network Proximity-Based Drug Repurposing Strategy for COVID-19
2020 Stolfi, Paola; Manni, Luigi; Soligo, Marzia; Vergni, Davide; Tieri, Paolo
Optimizing the dynamic behavior of wells and facilities with machine learning and agent negotiation techniques
2020 Piantanida, M; Amendola, A; Esposito, G; Iorio, P; Carminati, S; Vanzan, D; Castiglione, F; Vergni, D; Stolfi, P; Coria, Cn
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices
2020 Stolfi, P; Valentini, I; Palumbo, Mc; Tieri, P; Grignolio, A; Castiglione, F
A dominance test for measuring financial connectedness
2019 Bernardi, Mauro; Stolfi, Paola
Machine learning agents to support efficent production management: Application to the Goliat's asset
2019 Amendola A.; Piantanida M.; Floriello D.; Esposito G.; Bottani C.; Carminati S.; Vanzan D.; Zampato M.; Lygren S.; Nappi S.; Vergni D.; Stolfi P.; Castiglione F.; Nieto Coria C.
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices
2019 Paola Stolfi; Ilaria Valentini; Maria Concetta Palumbo; Paolo Tieri; Andrea Grignolio; Filippo Castiglione
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices
2019 Stolfi, Paola; Valentini, Ilaria; Palumbo, MARIA CONCETTA; Tieri, Paolo; Grignolio, Andrea; Castiglione, Filippo
Approximate EM algorithm for sparse estimation of multivariate location-scale mixture of normal
2018 Bernardi, Mauro; Stolfi, Paola
Robust Time-Varying Undirected Graphs
2018 Bernardi, Mauro; Stolfi, Paola
The sparse method of simulated quantiles: An application to portfolio optimization
2018 Stolfi, P; Bernardi, M; Petrella, L
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Normal approximation of random Gaussian neural networks | 1-gen-2024 | Apollonio, Nicola; DE CANDITIIS, Daniela; Franzina, Giovanni; Stolfi, Paola; Torrisi, GIOVANNI LUCA | |
Normal Approximation of Random Gaussian Neural Networks | 1-gen-2024 | Apollonio, Nicola; DE CANDITIIS, Daniela; Franzina, Giovanni; Stolfi, Paola; Torrisi, GIOVANNI LUCA | |
Evaluation of COVID-19 vaccination protocols in an agent-based immune simulation platform | 1-gen-2023 | Stolfi, Paola; Castiglione, Filippo; Mastrostefano, Enrico; Prisco, Antonella | |
NIAPU: Network-Informed Adaptive Positive-Unlabeled learning for disease gene identification | 1-gen-2023 | Stolfi, Paola; Mastropietro, Andrea; Pasculli, Giuseppe; Tieri, Paolo; Vergni, Davide | |
Towards a digital twin for personalized diabetes prevention: the PRAESIIDIUM project | 1-gen-2023 | Paglialonga A.; Lenatti M.; Simeone D.; De Paola P.F.; Carlevaro A.; Mongelli M.; Dabbene F.; Castiglione F.; Palumbo M.C.; Stolfi P.; Tieri P. | |
DruSiLa: an integrated, in-silico disease similarity-based approach for drug repurposing | 1-gen-2022 | Amatya, Pratuat; Stolfi, Paola; Lombardi, Flavio; Tieri, Paolo | |
Network Proximity-Based Drug Repurposing Strategy for Early and Late Stages of Primary Biliary Cholangitis | 1-gen-2022 | Shahini, ; Endrit, ; Pasculli, ; Giuseppe, ; Mastropietro, ; Andrea, ; Stolfi, Paola; Stolfi, Paola; Tieri, Paolo; Tieri, Paolo; Vergni, Davide; Vergni, Davide; Cozzolongo, ; Raffaele, ; Pesce, ; Francesco, ; Giannelli, ; Gianluigi, | |
Robust estimation of time-dependent precision matrix with application to the cryptocurrency market | 1-gen-2022 | Paola Stolfi; Mauro Bernardi; Davide Vergni | |
Emulating complex simulations by machine learning methods | 1-gen-2021 | Stolfi P.; Castiglione F. | |
Designing a Network Proximity-Based Drug Repurposing Strategy for COVID-19 | 1-gen-2020 | Stolfi, Paola; Manni, Luigi; Soligo, Marzia; Vergni, Davide; Tieri, Paolo | |
Optimizing the dynamic behavior of wells and facilities with machine learning and agent negotiation techniques | 1-gen-2020 | Piantanida, M; Amendola, A; Esposito, G; Iorio, P; Carminati, S; Vanzan, D; Castiglione, F; Vergni, D; Stolfi, P; Coria, Cn | |
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices | 1-gen-2020 | Stolfi, P; Valentini, I; Palumbo, Mc; Tieri, P; Grignolio, A; Castiglione, F | |
A dominance test for measuring financial connectedness | 1-gen-2019 | Bernardi, Mauro; Stolfi, Paola | |
Machine learning agents to support efficent production management: Application to the Goliat's asset | 1-gen-2019 | Amendola A.; Piantanida M.; Floriello D.; Esposito G.; Bottani C.; Carminati S.; Vanzan D.; Zampato M.; Lygren S.; Nappi S.; Vergni D.; Stolfi P.; Castiglione F.; Nieto Coria C. | |
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices | 1-gen-2019 | Paola Stolfi; Ilaria Valentini; Maria Concetta Palumbo; Paolo Tieri; Andrea Grignolio; Filippo Castiglione | |
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices | 1-gen-2019 | Stolfi, Paola; Valentini, Ilaria; Palumbo, MARIA CONCETTA; Tieri, Paolo; Grignolio, Andrea; Castiglione, Filippo | |
Approximate EM algorithm for sparse estimation of multivariate location-scale mixture of normal | 1-gen-2018 | Bernardi, Mauro; Stolfi, Paola | |
Robust Time-Varying Undirected Graphs | 1-gen-2018 | Bernardi, Mauro; Stolfi, Paola | |
The sparse method of simulated quantiles: An application to portfolio optimization | 1-gen-2018 | Stolfi, P; Bernardi, M; Petrella, L |