A Framework for Modeling Automatic Offloading of Mobile Applications Using Genetic Programming. - Gianluigi Folino; Francesco Sergio Pisani (EvoApplications, 2013)

Automatic Offloading of Mobile Applications Using Evolutionary Algorithms. - Gianluigi Folino; Francesco Sergio Pisani (ERCIM News, 2013)

Modeling the Offloading of Different Types of Mobile Applications by Using Evolutionary Algorithms. - Gianluigi Folino; Francesco Sergio Pisani (EvoApplications, 2014)

Efficient discovery of data mining services over DHT-based overlays. - Gianluigi Folino; Francesco Sergio Pisani; Paolo Trunfio (HPCS, 2014)

Automatic offloading of mobile applications into the cloud by means of genetic programming. - Gianluigi Folino; Francesco Sergio Pisani (Appl. Soft Comput., 2014)

Combining Ensemble of Classifiers by Using Genetic Programming for Cyber Security Applications. - Gianluigi Folino; Francesco Sergio Pisani (EvoApplications, 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)

Evolving meta-ensemble of classifiers for handling incomplete and unbalanced datasets in the cyber security domain. - Gianluigi Folino; Francesco Sergio Pisani (Appl. Soft Comput., 2016)

A Software Architecture for Classifying Users in E-payment Systems. - Gianluigi Folino; Francesco Sergio Pisani (ITASEC, 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 Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning. - Gianluigi Folino; Francesco Sergio Pisani; Luigi Pontieri (NUMTA(1), 2019)

A GP-based ensemble classification framework for time-changing streams of intrusion detection data. - Gianluigi Folino; Francesco Sergio Pisani; Luigi Pontieri (Soft Comput., 2020)

Adversarial Regularized Reconstruction for Anomaly Detection and Generation. - Angelica Liguori; Giuseppe Manco 001; Francesco Sergio Pisani; Ettore Ritacco (ICDM, 2021)

Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper). - Luciano Caroprese; Giuseppe Manco 001; Marco Minici; Francesco Sergio Pisani; Ettore Ritacco (SEBD, 2021)

On learning effective ensembles of deep neural networks for intrusion detection. - Francesco Folino; Gianluigi Folino; Massimo Guarascio 001; Francesco Sergio Pisani; Luigi Pontieri (Inf. Fusion, 2021)

Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review. - Erica Coppolillo; Angelica Liguori; Massimo Guarascio 001; Francesco Sergio Pisani; Giuseppe Manco 001 (CyberSec4Europe, 2022)

Learning and Explanation of Extreme Multi-label Deep Classification Models for Media Content. - Marco Minici; Francesco Sergio Pisani; Massimo Guarascio 001; Erika De Francesco; Pasquale Lambardi (ISMIS, 2022)

A Scalable Architecture Exploiting Elastic Stack and Meta Ensemble of Classifiers for Profiling User Behaviour. - Gianluigi Folino; Carla Otranto Godano; Francesco Sergio Pisani (PDP, 2022)

Towards Extreme Multi-Label Classification of Multimedia Content. - Marco Minici; Francesco Sergio Pisani; Massimo Guarascio 001; Giuseppe Manco 001 (SEBD, 2022)

A Scalable Ensemble-based Framework to Analyse Users? Digital Footprints for Cybersecurity. - Gianluigi Folino; Francesco Sergio Pisani; Carla Otranto Godano (ERCIM News, 2022)

Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection. - Massimo Guarascio 001; Nunziato Cassavia; Francesco Sergio Pisani; Giuseppe Manco 001 (Future Gener. Comput. Syst., 2022)

Exploiting Deep Learning and Explanation Methods for Movie Tag Prediction. - Erica Coppolillo; Massimo Guarascio 001; Marco Minici; Francesco Sergio Pisani (IDEAS, 2023)

Fighting Misinformation, Radicalization and Bias in Social Media. - Erica Coppolillo; Carmela Comito; Marco Minici; Ettore Ritacco; Gianluigi Folino; Francesco Sergio Pisani; Massimo Guarascio 001; Giuseppe Manco 001 (Ital-IA, 2023)

Towards Self-Supervised Cross-Domain Fake News Detection. - Carmela Comito; Francesco Sergio Pisani; Erica Coppolillo; Angelica Liguori; Massimo Guarascio 001; Giuseppe Manco 001 (ITASEC, 2023)

ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper). - Luca Caviglione; Carmela Comito; Massimo Guarascio 001; Giuseppe Manco 001; Francesco Sergio Pisani; Marco Zuppelli (SEBD, 2023)

An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity. - Gianluigi Folino; Carla Otranto Godano; Francesco Sergio Pisani (J. Supercomput., 2023)

Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection. - Carmela Comito; Massimo Guarascio 001; Angelica Liguori; Giuseppe Manco 001; Francesco Sergio Pisani (DS (2), 2024)

A Few to Unveil Them All: Leveraging Mixture of Experts on Minimal Data for Detecting Covert Channels in Containerized Cloud Infrastructures. - Luca Caviglione; Massimo Guarascio 001; Francesco Sergio Pisani; Marco Zuppelli (EuroS&P Workshops, 2024)

Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. - Luca Caviglione; Carmela Comito; Erica Coppolillo; Daniela Gallo; Massimo Guarascio 001; Angelica Liguori; Giuseppe Manco 001; Marco Minici; Simone Mungari; Francesco Sergio Pisani; Ettore Ritacco; Antonino Rullo; et al. (Ital-IA, 2024)

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)

Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation. - Massimo Guarascio 001; Marco Minici; Francesco Sergio Pisani; Erika De Francesco; Pasquale Lambardi (J. Intell. Inf. Syst., 2024)

Balanced Quality Score: Measuring Popularity Debiasing in Recommendation. - Erica Coppolillo; Marco Minici; Ettore Ritacco; Luciano Caroprese; Francesco Sergio Pisani; Giuseppe Manco 001 (ACM Trans. Intell. Syst. Technol., 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)

Robust anomaly detection via adversarial counterfactual generation. - Angelica Liguori; Ettore Ritacco; Francesco Sergio Pisani; Giuseppe Manco 001 (Knowl. Inf. Syst., 2024)

Modelling Concept Drift in Dynamic Data Streams for Recommender Systems. - Luciano Caroprese; Francesco Sergio Pisani; Bruno Miguel Veloso; Matthias König 005; Giuseppe Manco 001; Holger H. Hoos; João Gama 001 (Trans. Recomm. Syst., 2025)

Breaking domain barriers: mixture of experts for cross-domain fake news detection. - Angelica Liguori; Francesco Sergio Pisani; Carmela Comito; Massimo Guarascio 001; Giuseppe Manco 001 (Mach. Learn., 2025)

M3DUSA: A Modular Multi-Modal Deep fUSion Architecture for fake news detection on social media. - Liliana Martirano; Carmela Comito; Massimo Guarascio 001; Francesco Sergio Pisani; Paolo Zicari (Soc. Netw. Anal. Min., 2025)