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ORCIDGianluigi Folino
- > Home > Persons > Gianluigi Folino
Publications
- 2024
[j34]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)- [j33]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Data- & compute-efficient deviance mining via active learning and fast ensembles. J. Intell. Inf. Syst. 62(4): 995-1019 (2024) - [j32]Francesco Folino, Gianluigi Folino, Massimo Guarascio
, Luigi Pontieri, Paolo Zicari:
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models. SN Comput. Sci. 5(5): 470 (2024) - [c69]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 - 2022
- [j29]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs. Bus. Inf. Syst. Eng. 64(6): 729-749 (2022) - [c66]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery. ISMIS 2022: 346-356 - 2021
- [j26]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Francesco Sergio Pisani, Luigi Pontieri:
On learning effective ensembles of deep neural networks for intrusion detection. Inf. Fusion 72: 48-69 (2021) - 2020
- [c63]Francesco Folino, Gianluigi Folino, Luigi Pontieri:
A p2p environment to validate ensemble-based approaches in the cybersecurity domain. PDP 2020: 344-351 - [c62]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
A Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances. PKDD/ECML Workshops 2020: 249-262 - 2019
- [c60]Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data. ICTAI 2019: 1396-1400 - 2018
- [c57]Francesco Folino, Gianluigi Folino, Luigi Pontieri:
An Ensemble-Based P2P Framework for the Detection of Deviant Business Process Instances. HPCS 2018: 122-129 - 2017
- [c56]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
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