Sfoglia per Autore
Risk Assessment Models in Hydroelectric Plants
2025-01-01 Cerotti, D.; Codetta Raiteri, D.; Pennisi, M. A.; Egidi, L.; Franceschinis, G.; Bobbio, A.; Portinale, L.; Cappicciola, M.; L’Aurora, E. M.; Silicato, N.
AutoML-Med: a tool for optimizing pipeline generation in medical ML
2025-01-01 Francia, R.; Leonardi, G.; Montani, S.; Pennisi, M.; Striani, M.; Leone, M.; ´alfonso, S. D.
From Compositional Petri Net Modeling to Macro and Micro Simulation by Means of Stochastic Simulation and Agent-Based Models
2024-01-01 Amparore, Elvio; Beccuti, Marco; Castagno, Paolo; Pernice, Simone; Franceschinis, Giuliana; Pennisi, Marzio
Exploiting Structural Dependency Relations for Efficient Agent Based Model Simulation
2023-01-01 Pennisi, Marzio; Amparore, Elvio G.; Franceschinis, Giuliana
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
2023-01-01 Bottrighi, Alessio; Pennisi, Marzio
Intelligenza Artificiale in Medicina presso il Dipartimento di Scienze e Innovazione Tecnologica dell’Università del Piemonte Orientale
2022-01-01 Bottrighi, Alessio; Canonico, Massimo; Giordano, Laura; Guazzone, Marco; Leonardi, Giorgio; Montani, Stefania; Pennisi, MARZIO ALFIO; Piovesan, Luca; Portinale, Luigi; Striani, Manuel; Terenziani, Paolo; THESEIDER DUPRE', Daniele
A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2
2022-01-01 Bottrighi, Alessio; Pennisi, Marzio; Roveta, Annalisa; Massarino, Costanza; Cassinari, Antonella; Betti, Marta; Bolgeo, Tatiana; Bertolotti, Marinella; Rava, Emanuele; Maconi, Antonio
A Petri Net Formalism to Study Systems at Different Scales Exploiting Agent-Based and Stochastic Simulations
2021-01-01 Beccuti, M.; Castagno, P.; Franceschinis, G.; Pennisi, M.; Pernice, S.
Verification of an agent-based disease model of human Mycobacterium tuberculosis infection
2021-01-01 Curreli, C.; Pappalardo, F.; Russo, G.; Pennisi, M.; Kiagias, D.; Juarez, M.; Viceconti, M.
Model verification tools: a computational framework for verification assessment of mechanistic agent-based models
2021-01-01 Russo, G.; Parasiliti Palumbo, G. A.; Pennisi, M.; Pappalardo, F.
A Preliminary Analysis of Hospitalized Covid-19 Patients in Alessandria Area: A machine learning approach
2021-01-01 Betti, M.; Bertolotti, M.; Bolgeo, T.; Bottrighi, A.; Cassinari, A.; Maconi, A.; Massarino, C.; Pennisi, M.; Rava, E.; Roveta, A.
Multiformalism modeling and simulation of immune system mechanisms
2021-01-01 Amparore, E. G.; Beccuti, M.; Castagno, P.; Franceschinis, G.; Pennisi, M.; Pernice, S.
Credibility of In Silico Trial Technologies - A Theoretical Framing
2020-01-01 Viceconti, Marco; Juarez, Miguel; Curreli, Cristina; Pennisi, Marzio; Russo, Giulia; Pappalardo, Francesco
Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization
2020-01-01 Totis, N.; Tagherloni, A.; Beccuti, M.; Cazzaniga, P.; Nobile, M. S.; Besozzi, D.; Pennisi, M.; Pappalardo, Francesco
The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis
2020-01-01 Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Parasiliti Palumbo, Giuseppe Alessandro; Sgroi, Giuseppe; Motta, Santo; Maimone, Davide
Gene Silencing of Transferrin-1 Receptor as a Potential Therapeutic Target for Human Follicular and Anaplastic Thyroid Cancer
2020-01-01 Campisi, A.; Bonfanti, R.; Raciti, G.; Bonaventura, G.; Legnani, L.; Magro, G.; Pennisi, M.; Russo, Giulia.; Chiacchio, M. A.; Pappalardo, F.; Parenti, R.
In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform
2020-01-01 Russo, G.; Pennisi, M.; Fichera, E.; Motta, S.; Raciti, G.; Viceconti, M.; Pappalardo, F.
Computational modeling of the immune response in multiple sclerosis using epimod framework
2020-01-01 Pernice, S.; Follia, L.; Maglione, A.; Pennisi, M.; Pappalardo, F.; Novelli, F.; Clerico, M.; Beccuti, M.; Cordero, F.; Rolla, S.
Generation of digital patients for the simulation of tuberculosis with UISS-TB
2020-01-01 Juarez, M. A.; Pennisi, M.; Russo, G.; Kiagias, D.; Curreli, C.; Viceconti, M.; Pappalardo, F.
The combination of artificial intelligence and systems biology for intelligent vaccine design
2020-01-01 Russo, G.; Reche, P.; Pennisi, M.; Pappalardo, F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Risk Assessment Models in Hydroelectric Plants | 1-gen-2025 | Cerotti, D.; Codetta Raiteri, D.; Pennisi, M. A.; Egidi, L.; Franceschinis, G.; Bobbio, A.; Portinale, L.; Cappicciola, M.; L’Aurora, E. M.; Silicato, N. | |
| AutoML-Med: a tool for optimizing pipeline generation in medical ML | 1-gen-2025 | Francia, R.; Leonardi, G.; Montani, S.; Pennisi, M.; Striani, M.; Leone, M.; ´alfonso, S. D. | |
| From Compositional Petri Net Modeling to Macro and Micro Simulation by Means of Stochastic Simulation and Agent-Based Models | 1-gen-2024 | Amparore, Elvio; Beccuti, Marco; Castagno, Paolo; Pernice, Simone; Franceschinis, Giuliana; Pennisi, Marzio | |
| Exploiting Structural Dependency Relations for Efficient Agent Based Model Simulation | 1-gen-2023 | Pennisi, Marzio; Amparore, Elvio G.; Franceschinis, Giuliana | |
| Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community | 1-gen-2023 | Bottrighi, Alessio; Pennisi, Marzio | |
| Intelligenza Artificiale in Medicina presso il Dipartimento di Scienze e Innovazione Tecnologica dell’Università del Piemonte Orientale | 1-gen-2022 | Bottrighi, Alessio; Canonico, Massimo; Giordano, Laura; Guazzone, Marco; Leonardi, Giorgio; Montani, Stefania; Pennisi, MARZIO ALFIO; Piovesan, Luca; Portinale, Luigi; Striani, Manuel; Terenziani, Paolo; THESEIDER DUPRE', Daniele | |
| A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2 | 1-gen-2022 | Bottrighi, Alessio; Pennisi, Marzio; Roveta, Annalisa; Massarino, Costanza; Cassinari, Antonella; Betti, Marta; Bolgeo, Tatiana; Bertolotti, Marinella; Rava, Emanuele; Maconi, Antonio | |
| A Petri Net Formalism to Study Systems at Different Scales Exploiting Agent-Based and Stochastic Simulations | 1-gen-2021 | Beccuti, M.; Castagno, P.; Franceschinis, G.; Pennisi, M.; Pernice, S. | |
| Verification of an agent-based disease model of human Mycobacterium tuberculosis infection | 1-gen-2021 | Curreli, C.; Pappalardo, F.; Russo, G.; Pennisi, M.; Kiagias, D.; Juarez, M.; Viceconti, M. | |
| Model verification tools: a computational framework for verification assessment of mechanistic agent-based models | 1-gen-2021 | Russo, G.; Parasiliti Palumbo, G. A.; Pennisi, M.; Pappalardo, F. | |
| A Preliminary Analysis of Hospitalized Covid-19 Patients in Alessandria Area: A machine learning approach | 1-gen-2021 | Betti, M.; Bertolotti, M.; Bolgeo, T.; Bottrighi, A.; Cassinari, A.; Maconi, A.; Massarino, C.; Pennisi, M.; Rava, E.; Roveta, A. | |
| Multiformalism modeling and simulation of immune system mechanisms | 1-gen-2021 | Amparore, E. G.; Beccuti, M.; Castagno, P.; Franceschinis, G.; Pennisi, M.; Pernice, S. | |
| Credibility of In Silico Trial Technologies - A Theoretical Framing | 1-gen-2020 | Viceconti, Marco; Juarez, Miguel; Curreli, Cristina; Pennisi, Marzio; Russo, Giulia; Pappalardo, Francesco | |
| Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization | 1-gen-2020 | Totis, N.; Tagherloni, A.; Beccuti, M.; Cazzaniga, P.; Nobile, M. S.; Besozzi, D.; Pennisi, M.; Pappalardo, Francesco | |
| The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis | 1-gen-2020 | Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Parasiliti Palumbo, Giuseppe Alessandro; Sgroi, Giuseppe; Motta, Santo; Maimone, Davide | |
| Gene Silencing of Transferrin-1 Receptor as a Potential Therapeutic Target for Human Follicular and Anaplastic Thyroid Cancer | 1-gen-2020 | Campisi, A.; Bonfanti, R.; Raciti, G.; Bonaventura, G.; Legnani, L.; Magro, G.; Pennisi, M.; Russo, Giulia.; Chiacchio, M. A.; Pappalardo, F.; Parenti, R. | |
| In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform | 1-gen-2020 | Russo, G.; Pennisi, M.; Fichera, E.; Motta, S.; Raciti, G.; Viceconti, M.; Pappalardo, F. | |
| Computational modeling of the immune response in multiple sclerosis using epimod framework | 1-gen-2020 | Pernice, S.; Follia, L.; Maglione, A.; Pennisi, M.; Pappalardo, F.; Novelli, F.; Clerico, M.; Beccuti, M.; Cordero, F.; Rolla, S. | |
| Generation of digital patients for the simulation of tuberculosis with UISS-TB | 1-gen-2020 | Juarez, M. A.; Pennisi, M.; Russo, G.; Kiagias, D.; Curreli, C.; Viceconti, M.; Pappalardo, F. | |
| The combination of artificial intelligence and systems biology for intelligent vaccine design | 1-gen-2020 | Russo, G.; Reche, P.; Pennisi, M.; Pappalardo, F. |
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