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ORCIDFederico Siciliano
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Journal Articles
- 2023
[j2]Giorgio Barnabò, Federico Siciliano
, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri:
Deep active learning for misinformation detection using geometric deep learning. Online Soc. Networks Media 33: 100244 (2023)- [j1]Monica Laurenza, Dario Del Moro, Tommaso Alberti, Roberto Battiston, Simone Benella, F. Benvenuto, Francesco Berrilli, Igor Bertello, Bruna Bertucci, Lorenzo Biasiotti, Cristina Campi, Vincenzo Carbone, M. Casolino, C. Cecchi Pestellini, Federica Chiappetta, Igino Coco, S. Colombo, Giuseppe Consolini, Raffaella D'Amicis, Giancarlo De Gasperis, Rossana De Marco, Alfredo Del Corpo, Piero Diego, Valeria Di Felice, Luca Di Fino, C. Di Geronimo, F. Faldi, Fabiana Ferrente, Chiara Feruglio, E. Fiandrini, Fabrizio Fiore, Raffaello Foldes, Valerio Formato, G. Francisco, Fabio Giannattasio, Marco Giardino, P. Giobbi, Luca Giovannelli, M. Giusti, A. Gorgi, Balázs Heilig, Giulia Iafrate, Stavro Ivanovski, Giovanna Jerse, M. B. Korsos, Fabio Lepreti, D. Locci, Carmelo Magnafico, V. Mangano, Maria Federica Marcucci, M. Martucci, Stefano Massetti, G. Micela, Anna Milillo, Rositsa Miteva, Marco Molinaro, R. Mugatwala, A. Mura, Gianluca Napoletano, Livio Narici, Coralie Neubüser, G. Nisticò, M. Pauluzzi, Alessandro Perfetti, S. Perri, Antonino Petralia, Michael Pezzopane, Mirko Piersanti, Ermanno Pietropaolo, Alessio Pignalberi, Christina Plainaki, Gianluca Polenta, Leonardo Primavera, Giulia Romoli, M. Rossi, Lucia Santarelli, G. Santi Amantini, Federico Siciliano, Giuseppe Sindoni, S. Spadoni, Roberta Sparvoli, Mirko Stumpo, Nicola Tomassetti, Roberta Tozzi, Valerio Vagelli, N. Vasantharaju, Antonio Vecchio, Massimo Vellante, S. Vernetto, Carlo Francesco Vigorito, Matthew J. West, Gaetano Zimbardo, Pietro Zucca, Francesca Zuccarello, Paolo Zuccon:
The CAESAR Project for the ASI Space Weather Infrastructure. Remote. Sens. 15(2): 346 (2023)
Conference and Workshop Papers
- 2024
- [c13]Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations. ECIR (2) 2024: 205-220 - [c12]Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems. IIR 2024: 78-81 - [c11]Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri:
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation. IIR 2024: 95-98 - [c10]Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri:
RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems. RecSys 2024: 1265-1269 - [c9]Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri:
The Power of Noise: Redefining Retrieval for RAG Systems. SIGIR 2024: 719-729 - [c8]Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini:
IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems. SIGIR 2024: 3036-3039 - [c7]Carlo Abrate, Federico Siciliano, Francesco Bonchi, Fabrizio Silvestri:
Human-in-the-Loop Personalized Counterfactual Recourse. xAI (3) 2024: 18-38 - 2023
- [c6]Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini:
RRAML: Reinforced Retrieval Augmented Machine Learning. DP@AI*IA 2023: 29-37 - [c5]Maria Sofia Bucarelli, Lucas Cassano, Federico Siciliano, Amin Mantrach, Fabrizio Silvestri:
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels. CVPR 2023: 3439-3448 - [c4]Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri:
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. RecSys 2023: 1114-1119 - [c3]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò:
Concept Distillation in Graph Neural Networks. xAI (3) 2023: 233-255 - 2022
- [c2]Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri:
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection. IJCNN 2022: 1-8 - [c1]Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri:
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. IJCNN 2022: 1-17
Informal and Other Publications
- 2024
- [i9]Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri:
The Power of Noise: Redefining Retrieval for RAG Systems. CoRR abs/2401.14887 (2024) - [i8]Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri:
A Reproducible Analysis of Sequential Recommender Systems. CoRR abs/2408.03873 (2024) - 2023
- [i7]Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri:
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. CoRR abs/2305.10824 (2023) - [i6]Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini:
RRAML: Reinforced Retrieval Augmented Machine Learning. CoRR abs/2307.12798 (2023) - [i5]Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. CoRR abs/2307.13165 (2023) - [i4]Federico Siciliano, Luca Maiano, Lorenzo Papa, Federica Baccini, Irene Amerini, Fabrizio Silvestri:
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It. CoRR abs/2312.15228 (2023) - [i3]Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi:
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1. CoRR abs/2312.17506 (2023) - 2022
- [i2]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik:
Encoding Concepts in Graph Neural Networks. CoRR abs/2207.13586 (2022) - 2021
- [i1]Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri:
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. CoRR abs/2110.02775 (2021)
Coauthor Index
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