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Publications
Table
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
The Power of Noise: Redefining Retrieval for RAG Systems
arXiv preprint arXiv:2401.14887
2024
Laurenza, M; Del Moro, D; Alberti, T; Battiston, R; Benella, S; Benvenuto, F; Berrilli, F; Bertello, I; Bertucci, B; Biasiotti, L;
The CAESAR Project for the ASI Space Weather Infrastructure
Remote Sensing
2023
MDPI
Bucarelli, Maria Sofia; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio;
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2023
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
Deep active learning for misinformation detection using geometric deep learning
Online Social Networks and Media
2023
Elsevier
Grani, Giorgio; Gentili, Michele; Siciliano, Federico; Albano, Domenico; Zilioli, Valentina; Morelli, Silvia; Puxeddu, Efisio; Zatelli, Maria Chiara; Gagliardi, Irene; Piovesan, Alessandro;
A data-driven approach to refine predictions of differentiated thyroid cancer outcomes: a prospective multicenter study
The Journal of Clinical Endocrinology & Metabolism
2023
Oxford University Press
Siciliano, Federico; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Proceedings of the 17th ACM Conference on Recommender Systems
2023
Association for Computing Machinery
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study
arXiv preprint arXiv:2307.13165
2023
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro;
Concept Distillation in Graph Neural Networks
World Conference on Explainable Artificial Intelligence
2023
Springer
Bacciu, Andrea; Cocunasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
RRAML: Reinforced Retrieval Augmented Machine Learning
Proceedings of the Discussion Papers - 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023 DP)
2023
Siciliano, Federico; Maiano, Luca; Papa, Lorenzo; Baccini, Federica; Amerini, Irene; Silvestri, Fabrizio;
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
arXiv preprint arXiv:2312.15228
2023
Di Teodoro, Giulia; Siciliano, Federico; Guarrasi, Valerio; Vandamme, Anne-Mieke; Ghisetti, Valeria; Sönnerborg, Anders; Zazzi, Maurizio; Silvestri, Fabrizio; Palagi, Laura;
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
arXiv preprint arXiv:2312.17506
2023
Gentili, Michele; Grani, Giorgio; Siciliano, Federico;
Adata-driven approach reveals emerging risk factors for recurrent and persistent differentiated thyroid cancer
Endocrine Abstracts
2022
Bioscientifica
Siciliano, Federico; Consolini, Giuseppe; Giannattasio, Fabio;
Comparing long short-term memory and convolutional neural networks in SYM-H index forecasting
EGU General Assembly Conference Abstracts
2022
Siciliano, Federico; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio;
Newron: a new generalization of the artificial neuron to enhance the interpretability of neural networks
2022 International Joint Conference on Neural Networks (IJCNN)
2022
IEEE
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection
2022 International Joint Conference on Neural Networks (IJCNN)
2022
IEEE
Greco, F; Polli, A; Siciliano, F;
Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures
JADT 2022 Proceedings: 16th International Conference on Statistical Analysis of Textual Data
2022
Siciliano, F; Consolini, Giuseppe; Tozzi, Roberta; Gentili, M; Giannattasio, Fabio; De Michelis, Paola;
Forecasting SYM‐H Index: A Comparison Between Long Short‐Term Memory and Convolutional Neural Networks
Space Weather
2021
Wiley Online Library
Tozzi, Roberta; Pezzopane, Michael; De Michelis, Paola; Pignalberi, Alessio; Siciliano, Federico;
Reconstruction of F-Region Electric Current Densities from more than 2 Years of Swarm Satellite Magnetic data
AGU Fall Meeting Abstracts
2016
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