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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 156 (tempo di esecuzione: 0.023 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.
DPET: A Data and Parameter Efficient Training Framework for Green AI 1-gen-2025 Scala, F.; Pontieri, L.; Flesca, S.
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 1-gen-2025 Folino, F.; Folino, G.; Guarascio, M.; Pontieri, L.
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
Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack Detection 1-gen-2025 Scala, F.; Guarascio, M.; Parrotta, C.; Pontieri, L.
Play it Straight: An Intelligent Data Pruning Technique for Green-AI 1-gen-2025 Scala, Francesco; Flesca, Sergio; 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
Transparent Models in Healthcare: Enhancing Decision Support through Explainability 1-gen-2025 Cuzzocrea, Alfredo; Folino, Francesco; Pontieri, Luigi; Sabatino, Pietro; Samami, Maryam
Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural Networks 1-gen-2025 Martirano, L.; Scala, F.; Comito, C.; Pontieri, L.
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 Filtering for a Sustainable Model Training 1-gen-2024 Scala, F.; Flesca, S.; 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
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction 1-gen-2024 Folino, F.; 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
Data-Efficient Deep Learning Approach for Explainable Process Deviance Discovery 1-gen-2023 Folino, Francesco; Folino, Gianluigi; Guarascio, Massimo; Pontieri, Luigi