PONTIERI, LUIGI

PONTIERI, LUIGI  

Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR  

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Risultati 1 - 20 di 38 (tempo di esecuzione: 0.068 secondi).
Titolo Data di pubblicazione Autore(i) File
An efficient model training framework for green AI 1-gen-2025 Scala, F.; Flesca, S.; Pontieri, L.
Discovering ensembles of small language models out of scarcely labelled data for fake news detection 1-gen-2025 Folino, G.; Guarascio, M.; Pontieri, L.; Zicari, P.
Generating multiperspective process traces using conditional variational autoencoders 1-gen-2025 Graziosi, Riccardo; Ronzani, Massimiliano; Buliga, Andrei; Di Francescomarino, Chiara; Folino, Francesco; Ghidini, Chiara; Meneghello, Francesca; Pontieri, Luigi
The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding 1-gen-2025 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi
Toward trustworthy and sustainable clinical decision support by training ensembles of specialized logistic regressors 1-gen-2025 Cuzzocrea, Alfredo; Folino, Francesco; Pontieri, Luigi; Sabatino, Pietro; Samami, Maryam
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.
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
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
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; Pisani, FRANCESCO SERGIO; 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
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
Deviance-Aware Discovery of High-Quality Process Models 1-gen-2018 Cuzzocrea, Alfredo; Folino, Francesco; Guarascio, Massimo; Pontieri, Luigi
Efficiently interpreting traces of low level events in business process logs 1-gen-2018 Bettina Fazzinga; Sergio Flesca; Filippo Furfaro; Elio Masciari; Luigi Pontieri
Online and offline classification of traces of event logs on the basis of security risks 1-gen-2018 Fazzinga B.; Flesca S.; Furfaro F.; Pontieri L.