Federico Siciliano

According to our database, Federico Siciliano authored at least 21 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Reproducible Analysis of Sequential Recommender Systems.

Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri

CoRR, 2024

Human-in-the-Loop Personalized Counterfactual Recourse.

Carlo Abrate, Federico Siciliano, Francesco Bonchi, Fabrizio Silvestri

Proceedings of the Explainable Artificial Intelligence, 2024

IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems.

Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

The Power of Noise: Redefining Retrieval for RAG Systems.

Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems.

Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation.

Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems.

Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations.

Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri

Proceedings of the Advances in Information Retrieval, 2024

Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking.

Alessandro Sbandi, Federico Siciliano, Fabrizio Silvestri

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

The CAESAR Project for the ASI Space Weather Infrastructure.

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

Remote. Sens., January, 2023

Deep active learning for misinformation detection using geometric deep learning.

Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri

Online Soc. Networks Media, 2023

A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1.

Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi

CoRR, 2023

Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It.

Federico Siciliano, Luca Maiano, Lorenzo Papa, Federica Baccini, Irene Amerini, Fabrizio Silvestri

CoRR, 2023

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study.

Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri

CoRR, 2023

Concept Distillation in Graph Neural Networks.

Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò

Proceedings of the Explainable Artificial Intelligence, 2023

Integrating Item Relevance in Training Loss for Sequential Recommender Systems.

Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels.

Maria Sofia Bucarelli, Lucas Cassano, Federico Siciliano, Amin Mantrach, Fabrizio Silvestri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RRAML: Reinforced Retrieval Augmented Machine Learning.

Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini

Proceedings of the Discussion Papers, 2023

2022

Encoding Concepts in Graph Neural Networks.

Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik

CoRR, 2022

NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks.

Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri

Proceedings of the International Joint Conference on Neural Networks, 2022

FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection.

Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri

Proceedings of the International Joint Conference on Neural Networks, 2022