PELLEGRINO, MATTIA
PELLEGRINO, MATTIA
Dipartimento di Ingegneria e Architettura
ActoDemic: A Distributed Framework for Fine-Grained Spreading Modeling and Simulation in Large Scale Scenarios
2021-01-01 Pellegrino, Mattia; Lombardo, Gianfranco; Mordonini, Monica; Tomaiuolo, Michele; Cagnoni, Stefano; Poggi, Agostino
Building a Sentiment Analysis Model for Libraries: The CSBNO Consortium Approach
2022-01-01 Tammaro, A. M.; Tomaiuolo, M.; Mordonini, M.; Pellegrino, M.; Demicelis, R.
Demand Forecasting for an Automotive Company with Neural Network and Ensemble Classifiers Approaches
2021-01-01 Bottani, Eleonora; Mordonini, Monica; Franchi, Beatrice; Pellegrino, Mattia
Fine-Grained Agent-Based Modeling to Predict Covid-19 Spreading and Effect of Policies in Large-Scale Scenarios
2022-01-01 Lombardo, Gianfranco; Pellegrino, Mattia; Tomaiuolo, Michele; Cagnoni, Stefano; Mordonini, Monica; Giacobini, Mario; Poggi, Agostino
High-Performance Computing and ABMS for High-Resolution COVID-19 Spreading Simulation
2022-01-01 Pellegrino, Mattia; Lombardo, Gianfranco; Cagnoni, Stefano; Poggi, Agostino
Machine Learning for Bankruptcy Prediction in the American Stock Market: Dataset and Benchmarks
2022-01-01 Lombardo, G; Pellegrino, M; Adosoglou, G; Cagnoni, S; Pardalos, Pm; Poggi, A
Opportunities for simulation-based optimization in hospital environment: results and perspectives from a review of the literature
2022-01-01 Bottani, E.; Franchi, B.; Monferdini, L.; Bigliardi, B.; Mordonini, M.; Pellegrino, M.; Lombardo, G.; Collini, L.; Bellini, V.; Bignami, E.
Unsupervised Continual Learning From Synthetic Data Generated with Agent-Based Modeling and Simulation: A preliminary experimentation
2022-01-01 Lombardo, Gianfranco; Pellegrino, Mattia; Poggi, Agostino
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| ActoDemic: A Distributed Framework for Fine-Grained Spreading Modeling and Simulation in Large Scale Scenarios | 1-gen-2021 | Pellegrino, Mattia; Lombardo, Gianfranco; Mordonini, Monica; Tomaiuolo, Michele; Cagnoni, Stefano; Poggi, Agostino | |
| Building a Sentiment Analysis Model for Libraries: The CSBNO Consortium Approach | 1-gen-2022 | Tammaro, A. M.; Tomaiuolo, M.; Mordonini, M.; Pellegrino, M.; Demicelis, R. | |
| Demand Forecasting for an Automotive Company with Neural Network and Ensemble Classifiers Approaches | 1-gen-2021 | Bottani, Eleonora; Mordonini, Monica; Franchi, Beatrice; Pellegrino, Mattia | |
| Fine-Grained Agent-Based Modeling to Predict Covid-19 Spreading and Effect of Policies in Large-Scale Scenarios | 1-gen-2022 | Lombardo, Gianfranco; Pellegrino, Mattia; Tomaiuolo, Michele; Cagnoni, Stefano; Mordonini, Monica; Giacobini, Mario; Poggi, Agostino | |
| High-Performance Computing and ABMS for High-Resolution COVID-19 Spreading Simulation | 1-gen-2022 | Pellegrino, Mattia; Lombardo, Gianfranco; Cagnoni, Stefano; Poggi, Agostino | |
| Machine Learning for Bankruptcy Prediction in the American Stock Market: Dataset and Benchmarks | 1-gen-2022 | Lombardo, G; Pellegrino, M; Adosoglou, G; Cagnoni, S; Pardalos, Pm; Poggi, A | |
| Opportunities for simulation-based optimization in hospital environment: results and perspectives from a review of the literature | 1-gen-2022 | Bottani, E.; Franchi, B.; Monferdini, L.; Bigliardi, B.; Mordonini, M.; Pellegrino, M.; Lombardo, G.; Collini, L.; Bellini, V.; Bignami, E. | |
| Unsupervised Continual Learning From Synthetic Data Generated with Agent-Based Modeling and Simulation: A preliminary experimentation | 1-gen-2022 | Lombardo, Gianfranco; Pellegrino, Mattia; Poggi, Agostino |