PONTIERI, LUIGI
PONTIERI, LUIGI
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Combining abstract argumentation and machine learning for efficiently analyzing low-level process event streams
2026 Fazzinga, Bettina; Flesca, Sergio; Furfaro, Filippo; Pontieri, Luigi; Scala, Francesco
FLOPpy: A hardware-agnostic Python library to monitor the computational cost of machine and deep learning algorithms
2026 Scala, Francesco; Mandarino, Francesco; Martirano, Liliana; Pontieri, Luigi
Forecasting low-dimensional turbulence via multi-dimensional hybrid quantum reservoir computing
2026 Salatino, L.; Mariani, L.; Giordano, A.; D'Amore, F.; Mastroianni, C.; Pontieri, L.; Vinci, A.; Gencarelli, C.; Primavera, L.; Plastina, F.; Settino, J.; Carbone, F.
Sustainable hybrid text classification: Enhancing encoder-only language models with NLI-derived pseudo-examples
2026 Cosentino, C.; Folino, F.; Marozzo, F.; Pontieri, L.
Toward robust multimodal fake news detection under weak supervision via text-derived surrogate labels
2026 Martirano, L.; Scala, F.; Comito, C.; Pontieri, L.
An efficient model training framework for green AI
2025 Scala, F.; Flesca, S.; Pontieri, L.
Discovering ensembles of small language models out of scarcely labelled data for fake news detection
2025 Folino, G.; Guarascio, M.; Pontieri, L.; Zicari, P.
Generating multiperspective process traces using conditional variational autoencoders
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
2025 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi
Toward trustworthy and sustainable clinical decision support by training ensembles of specialized logistic regressors
2025 Cuzzocrea, Alfredo; Folino, Francesco; Pontieri, Luigi; Sabatino, Pietro; Samami, Maryam
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.
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.
An Explainable Deep Ensemble Framework for Intelligent Ticket Management
2023 Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi; Zicari, Paolo
Combining deep ensemble learning and explanation for intelligent ticket management
2022 Zicari, P; Folino, G; Guarascio, M; Pontieri, L
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation
2022 Fazzinga, B; Flesca, S; Furfaro, F; Pontieri, L
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 GP-based ensemble classification framework for time-changing streams of intrusion detection data
2020 Folino, Gianluigi; Pisani, FRANCESCO SERGIO; Pontieri, Luigi