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Pietro Sabatino
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Journal Articles
- 2024
- [j3]Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino:
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques. J. Big Data 11(1): 77 (2024) - 2022
- [j2]Massimo Guarascio, Gianluigi Folino, Francesco Chiaravalloti, Salvatore Gabriele, Antonio Procopio, Pietro Sabatino:
A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - 2016
- [j1]Gianluigi Folino, Pietro Sabatino:
Ensemble based collaborative and distributed intrusion detection systems: A survey. J. Netw. Comput. Appl. 66: 1-16 (2016)
Conference and Workshop Papers
- 2024
- [c10]Francesco Folino, Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino, Luigi Pontieri:
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain. PDP 2024: 245-252 - 2023
- [c9]Davide Macrì, Antonio Francesco Gentile, Pietro Sabatino:
An IoT-based Approach to Expert Recommendation in Community Question Answering for Disaster Recovery. ICDM (Workshops) 2023: 860-867 - [c8]Francesco Folino, Luigi Pontieri, Pietro Sabatino:
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction. ICPM Workshops 2023: 141-152 - 2019
- [c7]Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino, Maryam Amir Haeri:
Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks. GECCO (Companion) 2019: 167-168 - 2017
- [c6]Francesco Folino, Gianluigi Folino, Luigi Pontieri, Pietro Sabatino:
A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data. HPCS 2017: 769-776 - 2016
- [c5]Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino:
A Distributed Intrusion Detection Framework Based on Evolved Specialized Ensembles of Classifiers. EvoApplications (1) 2016: 315-331 - [c4]Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino:
An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security Datasets. GECCO (Companion) 2016: 1103-1110 - [c3]Massimo Guarascio, Francesco Sergio Pisani, Ettore Ritacco, Pietro Sabatino:
Profiling Human Behavior Through Multidimensional Latent Factor Modeling. NFMCP@PKDD/ECML 2016: 148-162 - [c2]Alfredo Cuzzocrea, Gianluigi Folino, Pietro Sabatino:
Adaptive Intrusion Detection in Distributed Environments: An Ensemble-Based Approach. SEBD 2016: 230-237 - 2015
- [c1]Alfredo Cuzzocrea, Gianluigi Folino, Pietro Sabatino:
A distributed framework for supporting adaptive ensemble-based intrusion detection. IEEE BigData 2015: 1910-1916
Informal and Other Publications
- 2024
- [i1]Francesco Folino, Luigi Pontieri, Pietro Sabatino:
Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts. CoRR abs/2407.13526 (2024)
Coauthor Index
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