CNR Institutional Research Information System

FOLINO, FRANCESCO PAOLO

FOLINO, FRANCESCO PAOLO  

Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR  

Mostra records
Risultati 1 - 20 di 100 (tempo di esecuzione: 0.037 secondi).
Titolo Data di pubblicazione Autore(i) File
Seeing the invisible: Detection of stealth DoS attacks using variational U-Net-like models 1-gen-2026 Cambiaso, E.; Folino, F.; Guarascio, M.; Liguori, A.; Rullo, A.
Sustainable hybrid text classification: Enhancing encoder-only language models with NLI-derived pseudo-examples 1-gen-2026 Cosentino, C.; Folino, F.; Marozzo, F.; Pontieri, L.
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
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
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
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.
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