FOLINO, FRANCESCO PAOLO
FOLINO, FRANCESCO PAOLO
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain
2024 Folino, F.; Folino, G.; Pisani, F. S.; Sabatino, P.; Pontieri, L.
Data- & compute-efficient deviance mining via active learning and fast ensembles
2024 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques
2024 Folino, F.; Folino, G.; Pisani, F. S.; Pontieri, L.; Sabatino, P.
Generating the traces you need: a conditional generative model for Process Mining data
2024 Graziosi, Riccardo; Ronzani, Massimiliano; Buliga, Andrei; Di Francescomarino, Chiara; Folino, Francesco; Ghidini, Chiara; Meneghello, Francesca; Pontieri, Luigi
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models
2024 Folino, F.; Folino, G.; Guarascio, M.; Pontieri, L.; Zicari, P.
Data-Efficient Deep Learning Approach for Explainable Process Deviance Discovery
2023 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi
Explainable Process Deviance Discovery with Data-Efficient Deep Learning
2023 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction
2023 Folino, Francesco; Pontieri, Luigi; Sabatino, Pietro
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery
2022 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi
Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders
2022 Cassavia, Nunziato; Folino, Francesco; Guarascio, Massimo
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs
2022 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi
AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion
2021 Folino, Francesco; Pontieri, Luigi
On learning effective ensembles of deep neural networks for intrusion detection
2021 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pisani, FRANCESCO SERGIO; Pontieri, Luigi
A Multi-View Ensemble of Deep Models for the Detection of Deviant Process Instances
2020 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi
A p2p environment to validate ensemble-based approaches in the cybersecurity domain
2020 Folino, Francesco; Folino, Gianluigi; Pontieri, Luigi
An ensemble-based approach to the security-oriented classification of low-level log traces
2020 Fazzinga, Bettina; Folino, FRANCESCO PAOLO; Furfaro, Filippo; Pontieri, Luigi
Exploiting Temporal Convolution for Activity Prediction in Process Analytics
2020 Folino, Francesco; Guarascio, Massimo; Liguori, Angelica; Manco, Giuseppe; Pontieri, Luigi; Ritacco, Ettore
Generative Adversarial Networks for Temporally-Marked Event Sequences
2019 Giuseppe Manco; Francesco Folino; Luigi Pontieri; Ettore Ritacco
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data
2019 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events
2019 Cuzzocrea, A; Folino, F; Guarascio, M; Pontieri, L
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain | 1-gen-2024 | Folino, F.; Folino, G.; Pisani, F. S.; Sabatino, P.; Pontieri, L. | |
| Data- & compute-efficient deviance mining via active learning and fast ensembles | 1-gen-2024 | Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi | |
| Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques | 1-gen-2024 | Folino, F.; Folino, G.; Pisani, F. S.; Pontieri, L.; Sabatino, P. | |
| Generating the traces you need: a conditional generative model for Process Mining data | 1-gen-2024 | Graziosi, Riccardo; Ronzani, Massimiliano; Buliga, Andrei; Di Francescomarino, Chiara; Folino, Francesco; Ghidini, Chiara; Meneghello, Francesca; Pontieri, Luigi | |
| Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models | 1-gen-2024 | Folino, F.; Folino, G.; Guarascio, M.; Pontieri, L.; Zicari, P. | |
| Data-Efficient Deep Learning Approach for Explainable Process Deviance Discovery | 1-gen-2023 | Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi | |
| Explainable Process Deviance Discovery with Data-Efficient Deep Learning | 1-gen-2023 | Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi | |
| Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction | 1-gen-2023 | Folino, Francesco; Pontieri, Luigi; Sabatino, Pietro | |
| Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery | 1-gen-2022 | Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi | |
| Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders | 1-gen-2022 | Cassavia, Nunziato; Folino, Francesco; Guarascio, Massimo | |
| Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs | 1-gen-2022 | Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi | |
| AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion | 1-gen-2021 | Folino, Francesco; Pontieri, Luigi | |
| On learning effective ensembles of deep neural networks for intrusion detection | 1-gen-2021 | Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pisani, FRANCESCO SERGIO; Pontieri, Luigi | |
| A Multi-View Ensemble of Deep Models for the Detection of Deviant Process Instances | 1-gen-2020 | Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi | |
| A p2p environment to validate ensemble-based approaches in the cybersecurity domain | 1-gen-2020 | Folino, Francesco; Folino, Gianluigi; Pontieri, Luigi | |
| An ensemble-based approach to the security-oriented classification of low-level log traces | 1-gen-2020 | Fazzinga, Bettina; Folino, FRANCESCO PAOLO; Furfaro, Filippo; Pontieri, Luigi | |
| Exploiting Temporal Convolution for Activity Prediction in Process Analytics | 1-gen-2020 | Folino, Francesco; Guarascio, Massimo; Liguori, Angelica; Manco, Giuseppe; Pontieri, Luigi; Ritacco, Ettore | |
| Generative Adversarial Networks for Temporally-Marked Event Sequences | 1-gen-2019 | Giuseppe Manco; Francesco Folino; Luigi Pontieri; Ettore Ritacco | |
| Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data | 1-gen-2019 | Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi | |
| Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events | 1-gen-2019 | Cuzzocrea, A; Folino, F; Guarascio, M; Pontieri, L |