Demand Forecasting for an Automotive Company with Neural Network and Ensemble Classifiers Approaches. - Eleonora Bottani; Monica Mordonini; Beatrice Franchi; Mattia Pellegrino (APMS (1), 2021)

ActoDemic: A Distributed Framework for Fine-Grained Spreading Modeling and Simulation in Large Scale Scenarios. - Mattia Pellegrino; Gianfranco Lombardo; Monica Mordonini; Michele Tomaiuolo; Stefano Cagnoni; Agostino Poggi (WOA, 2021)

Building a Sentiment Analysis Model for Libraries: The CSBNO Consortium Approach. - Anna Maria Tammaro; Michele Tomaiuolo; Monica Mordonini; Mattia Pellegrino; Riccardo Demicelis (IRCDL, 2022)

Unsupervised continual learning from synthetic data generated with agent-based modeling and simulation: a preliminary experimentation. - Gianfranco Lombardo; Mattia Pellegrino; Agostino Poggi (WOA, 2022)

Machine Learning for Bankruptcy Prediction in the American Stock Market: Dataset and Benchmarks. - Gianfranco Lombardo; Mattia Pellegrino; George Adosoglou; Stefano Cagnoni; Panos M. Pardalos; Agostino Poggi (Future Internet, 2022)

High-Performance Computing and ABMS for High-Resolution COVID-19 Spreading Simulation. - Mattia Pellegrino; Gianfranco Lombardo; Stefano Cagnoni; Agostino Poggi (Future Internet, 2022)

Fine-Grained Agent-Based Modeling to Predict Covid-19 Spreading and Effect of Policies in Large-Scale Scenarios. - Gianfranco Lombardo; Mattia Pellegrino; Michele Tomaiuolo; Stefano Cagnoni; Monica Mordonini; Mario Giacobini; Agostino Poggi (IEEE J. Biomed. Health Informatics, 2022)

A System for Tracking Patients in the Operating Room - A Pilot Study. - Mattia Pellegrino; Gianfranco Lombardo; Monica Mordonini; Stefano Cagnoni; Eleonora Bottani; Valentina Bellini; Elena Giovanna Bignami; Agostino Poggi (WOA, 2023)

Towards Digital Twins in Healthcare: Optimizing Operating Room and Recovery Room Dynamics. - Mattia Pellegrino; Gianfranco Lombardo; Agostino Poggi (KES, 2024)

Language Models Fine-Tuning for Automatic Format Reconstruction of SEC Financial Filings. - Gianfranco Lombardo; Giuseppe Trimigno; Mattia Pellegrino; Stefano Cagnoni (IEEE Access, 2024)

A Multi-Head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data. - Mattia Pellegrino; Gianfranco Lombardo; George Adosoglou; Stefano Cagnoni; Panos M. Pardalos; Agostino Poggi (Future Internet, 2024)