Pietro Sabatino

J. Big Data, December, 2024

Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts.

[BibT_eX]

[DOI]

CoRR, 2024

A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain.

[BibT_eX]

[DOI]

Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

2023

Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction.

[BibT_eX]

[DOI]

Antonio Francesco Gentile

Proceedings of the Process Mining Workshops, 2023

An IoT-based Approach to Expert Recommendation in Community Question Answering for Disaster Recovery.

[BibT_eX]

[DOI]

Davide Macrì

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources.

[BibT_eX]

[DOI]

Massimo Guarascio

Francesco Chiaravalloti

Salvatore Gabriele

Antonio Procopio

IEEE Trans. Geosci. Remote. Sens., 2022

2019

Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks.

[BibT_eX]

[DOI]

Maryam Amir Haeri

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2017

A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

2016

Ensemble based collaborative and distributed intrusion detection systems: A survey.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2016

Adaptive Intrusion Detection in Distributed Environments: An Ensemble-Based Approach.

[BibT_eX]

Alfredo Cuzzocrea

Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

Profiling Human Behavior Through Multidimensional Latent Factor Modeling.

[BibT_eX]

[DOI]

Massimo Guarascio

Ettore Ritacco

Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016

An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security Datasets.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A Distributed Intrusion Detection Framework Based on Evolved Specialized Ensembles of Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

2015

A distributed framework for supporting adaptive ensemble-based intrusion detection.

[BibT_eX]

[DOI]

Alfredo Cuzzocrea