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ORCIDFederico Siciliano
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2020 – today
- 2025
[j7]Filippo Betello
, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri:
A Reproducible Analysis of Sequential Recommender Systems. IEEE Access 13: 5762-5772 (2025)- [j6]Giovanni Trappolini, Antonio Purificato, Federico Siciliano, Luigi D'Addona, Anna Maria Spagnolo, Domenico Dato, Fabrizio Silvestri:
Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks. IEEE Access 13: 82668-82679 (2025) - [j5]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. Comput. Medical Imaging Graph. 120: 102484 (2025) - [j4]Maria Movin, Federico Siciliano, Rui Ferreira, Fabrizio Silvestri, Gabriele Tolomei:
Consistent Counterfactual Explanations via Anomaly Control and Data Coherence. IEEE Trans. Artif. Intell. 6(4): 794-804 (2025) - [e2]Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri:
Proceedings of the Workshop Design, Evaluation, and Deployment of Robust Recommender Systems (RobustRecSys 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, October 18th, 2024. CEUR Workshop Proceedings 3924, CEUR-WS.org 2025 [contents] - 2024
- [j3]Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini:
Report on the 1st Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2024) at SIGIR 2024. SIGIR Forum 58(2): 1-12 (2024) - [c17]Alessandro Sbandi, Federico Siciliano, Fabrizio Silvestri:
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking. CIKM 2024: 4844-4851 - [c16]Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations. ECIR (2) 2024: 205-220 - [c15]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 - [c14]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 - [c13]Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri:
RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems. RecSys 2024: 1265-1269 - [c12]Bonifacio Marco Francomano, Federico Siciliano, Fabrizio Silvestri:
Robust Solutions for Ranking Variability in Recommender Systems. RobustRecSys@RecSys 2024: 35-40 - [c11]Federico Siciliano, Shoval Lagziel, Iftah Gamzu, Gabriele Tolomei:
Robust Training of Sequential Recommender Systems with Missing Input Data. RobustRecSys@RecSys 2024: 41-50 - [c10]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 - [c9]Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini:
IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems. SIGIR 2024: 3036-3039 - [c8]Carlo Abrate, Federico Siciliano, Francesco Bonchi, Fabrizio Silvestri:
Human-in-the-Loop Personalized Counterfactual Recourse. xAI (3) 2024: 18-38 - [e1]Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini:
Proceedings of the Workshop Information Retrieval's Role in RAG Systems (IR-RAG 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), Washington DC, USA, 07 18, 2024. CEUR Workshop Proceedings 3784, CEUR-WS.org 2024 [contents] - [i11]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) - [i10]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) - [i9]Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri:
A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling. CoRR abs/2411.07770 (2024) - [i8]Federico Siciliano, Francesca Pezzuti, Nicola Tonellotto, Fabrizio Silvestri:
Static Pruning in Dense Retrieval using Matrix Decomposition. CoRR abs/2412.09983 (2024) - 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, Federico 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) - [c7]Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini:
RRAML: Reinforced Retrieval Augmented Machine Learning. DP@AI*IA 2023: 29-37 - [c6]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 - [c5]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. PKDD/ECML Workshops (2) 2023: 525-530 - [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 - [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
- [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 - [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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last updated on 2025-05-25 17:08 CEST by the dblp team
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