A Proposal for FPGA-Accelerated Deep Learning Ensembles in MPSoC Platforms Applied to Malware Detection. - Alessandro Cilardo; Vincenzo Maisto; Nicola Mazzocca; Franca Rocco di Torrepadula (QUATIC, 2022)

Bus Passenger Load Prediction: Challenges from an Industrial Experience. - Flora Amato; Sergio Di Martino; Nicola Mazzocca; Davide Nardone; Franca Rocco di Torrepadula; Paolo Sannino (W2GIS, 2022)

Using SUMO towards Proactive Public Mobility: Some Lessons Learned. - Franca Rocco di Torrepadula; Debora Russo; Sergio Di Martino; Nicola Mazzocca; Paolo Sannino (SuMob@SIGSPATIAL, 2023)

Bus Journey Time Prediction with Machine Learning: An Empirical Experience in Two Cities. - Laura Dunne; Franca Rocco di Torrepadula; Sergio Di Martino; Gavin McArdle; Davide Nardone (W2GIS, 2023)

Mobility Data Analytics with KNOT: The KNime mObility Toolkit. - Sergio Di Martino; Nicola Mazzocca; Franca Rocco di Torrepadula; Luigi Libero Lucio Starace (W2GIS, 2023)

A Digital Twin Architecture for Intelligent Public Transportation Systems: A FIWARE-Based Solution. - Alessandra De Benedictis; Franca Rocco di Torrepadula; Alessandra Somma (W2GIS, 2024)

Enhancing Efficiency and Privacy of Intelligent Public Transportation Systems Through Federated Learning and EdgeAI. - Franca Rocco di Torrepadula (W2GIS, 2024)

Machine Learning for public transportation demand prediction: A Systematic Literature Review. - Franca Rocco di Torrepadula; Enea Vincenzo Napolitano; Sergio Di Martino; Nicola Mazzocca (Eng. Appl. Artif. Intell., 2024)

A visual-based toolkit to support mobility data analytics. - Sergio Di Martino; Enrico Landolfi; Nicola Mazzocca; Franca Rocco di Torrepadula; Luigi Libero Lucio Starace (Expert Syst. Appl., 2024)

An Approach to the Systematic Characterization of Multitask Accelerated CNN Inference in Edge MPSoCs. - Alessandro Cilardo; Vincenzo Maisto; Nicola Mazzocca; Franca Rocco di Torrepadula (ACM Trans. Embed. Comput. Syst., 2024)

Bridging Efficient and Explainable Traffic Flow Prediction on the Edge. - Mario Barbareschi; Antonio Emmanuele; Nicola Mazzocca; Franca Rocco di Torrepadula (AINA (6), 2025)

Harnessing Explainable AI in Railway: A Decision Tree-Based Approach. - Mario Barbareschi; Antonio Emmanuele; Nicola Mazzocca; Franca Rocco di Torrepadula (EDCC-C, 2025)

Designing on-board explainable passenger flow prediction. - Mario Barbareschi; Antonio Emmanuele; Nicola Mazzocca; Franca Rocco di Torrepadula (Eng. Appl. Artif. Intell., 2025)

Smart Ecosystems and Digital Twins: An Architectural Perspective and a FIWARE-Based Solution. - Franca Rocco di Torrepadula; Alessandra Somma; Alessandra De Benedictis; Nicola Mazzocca (IEEE Softw., 2025)

Fedflow: a personalized federated learning framework for passenger flow prediction. - Franca Rocco di Torrepadula; Marco Fisichella; Sergio Di Martino; Nicola Mazzocca (Mach. Learn., 2025)