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PONTIERI, LUIGI

PONTIERI, LUIGI  

Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR  

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Risultati 1 - 20 di 142 (tempo di esecuzione: 0.044 secondi).
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.
An Explainable Deep Ensemble Framework for Intelligent Ticket Management 1-gen-2023 Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi; Zicari, Paolo
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
Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora 1-gen-2023 Zicari, P; Guarascio, M; Pontieri, L; Folino, G
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
Combining deep ensemble learning and explanation for intelligent ticket management 1-gen-2022 Zicari, P; Folino, G; Guarascio, M; Pontieri, L
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation 1-gen-2022 Fazzinga, B; Flesca, S; Furfaro, F; Pontieri, L
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
Argumentation meets Process Mining: an architecture for log interpretation 1-gen-2021 Bettina Fazzinga; Sergio Flesca; Filippo Furfaro; Luigi Pontieri
Discovering accurate deep learning based predictive models for automatic customer support ticket classification 1-gen-2021 Zicari, Paolo; Folino, Gianluigi; Guarascio, Massimo; 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 GP-based ensemble classification framework for time-changing streams of intrusion detection data 1-gen-2020 Folino, Gianluigi; Sergio Pisani, Francesco; 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