A distributed framework for supporting adaptive ensemble-based intrusion detection. - Alfredo Cuzzocrea; Gianluigi Folino; Pietro Sabatino (IEEE BigData, 2015)

A Distributed Intrusion Detection Framework Based on Evolved Specialized Ensembles of Classifiers. - Gianluigi Folino; Francesco Sergio Pisani; Pietro Sabatino (EvoApplications (1), 2016)

An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security Datasets. - Gianluigi Folino; Francesco Sergio Pisani; Pietro Sabatino (GECCO (Companion), 2016)

Profiling Human Behavior Through Multidimensional Latent Factor Modeling. - Massimo Guarascio 001; Francesco Sergio Pisani; Ettore Ritacco; Pietro Sabatino (NFMCP@PKDD/ECML, 2016)

Adaptive Intrusion Detection in Distributed Environments: An Ensemble-Based Approach. - Alfredo Cuzzocrea; Gianluigi Folino; Pietro Sabatino (SEBD, 2016)

Ensemble based collaborative and distributed intrusion detection systems: A survey. - Gianluigi Folino; Pietro Sabatino (J. Netw. Comput. Appl., 2016)

A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data. - Francesco Folino; Gianluigi Folino; Luigi Pontieri; Pietro Sabatino (HPCS, 2017)

Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks. - Gianluigi Folino; Francesco Sergio Pisani; Luigi Pontieri; Pietro Sabatino; Maryam Amir Haeri (GECCO (Companion), 2019)

A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources. - Massimo Guarascio 001; Gianluigi Folino; Francesco Chiaravalloti; Salvatore Gabriele; Antonio Procopio; Pietro Sabatino (IEEE Trans. Geosci. Remote. Sens., 2022)

An IoT-based Approach to Expert Recommendation in Community Question Answering for Disaster Recovery. - Davide Macrì; Antonio Francesco Gentile; Pietro Sabatino (ICDM (Workshops), 2023)

Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction. - Francesco Folino; Luigi Pontieri; Pietro Sabatino (ICPM Workshops, 2023)

A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain. - Francesco Folino; Gianluigi Folino; Francesco Sergio Pisani; Pietro Sabatino; Luigi Pontieri (PDP, 2024)

Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts. - Francesco Folino; Luigi Pontieri; Pietro Sabatino (CoRR, 2024)

Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques. - Francesco Folino; Gianluigi Folino; Francesco Sergio Pisani; Luigi Pontieri; Pietro Sabatino (J. Big Data, 2024)