Effectiveness of Video-Classification in Android Malware Detection Through API-Streams and CNN-LSTM Autoencoders. - Gianni D'Angelo; Francesco Palmieri 002; Antonio Robustelli (MobiSec, 2021)

Effective classification of android malware families through dynamic features and neural networks. - Gianni D'Angelo; Francesco Palmieri 002; Antonio Robustelli; Arcangelo Castiglione (Connect. Sci., 2021)

A federated approach to Android malware classification through Perm-Maps. - Gianni D'Angelo; Francesco Palmieri 002; Antonio Robustelli (Clust. Comput., 2022)

Artificial neural networks for resources optimization in energetic environment. - Gianni D'Angelo; Francesco Palmieri 002; Antonio Robustelli (Soft Comput., 2022)

An Association Rules-Based Approach for Anomaly Detection on CAN-bus. - Gianni D'Angelo; Massimo Ficco; Antonio Robustelli (ICCSA (Workshops 2), 2023)

Privacy-preserving malware detection in Android-based IoT devices through federated Markov chains. - Gianni D'Angelo; Eslam Farsimadan; Massimo Ficco; Francesco Palmieri 002; Antonio Robustelli (Future Gener. Comput. Syst., 2023)

An Android Malware Multi-class Classification Explained Through Genetic Programming. - Gianni D'Angelo; Francesco Palmieri 002; Antonio Robustelli (ICCSA (Workshops 2), 2024)

An explainable model for predicting Worsening Heart Failure based on genetic programming. - Valeria Visco; Antonio Robustelli; Francesco Loria; Antonella Rispoli; Francesca Palmieri; Alessia Bramanti; Albino Carrizzo; Carmine Vecchione; Francesco Palmieri 002; Michele Ciccarelli; Gianni D'Angelo (Comput. Biol. Medicine, 2024)