Federico Siciliano

52 papers A* 4A 5B 4Journal 25Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation. CoRR Marco Salmè, Federico Siciliano, Fabrizio Silvestri, Paolo Soda, Rosa Sicilia, Valerio Guarrasi
2026	—	`ed.`	Proceedings of the Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2025) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), Padova, Italy, July 17, 2025. IR-RAG@SIGIR Negar Arabzadeh, Ziheng Chen, Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini
2026	J	`jnl`	Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems. Trans. Recomm. Syst. Antonio Purificato, Giulia Cassarà, Federico Siciliano, Pietro Liò, Fabrizio Silvestri
2025	J	`jnl`	A Reproducible Analysis of Sequential Recommender Systems. IEEE Access Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri
2025	J	`jnl`	A Systematic Replicability and Comparative Study of BSARec and SASRec for Sequential Recommendation. CoRR Chiara D'Ercoli, Giulia Di Teodoro, Federico Siciliano
2025	B	`conf`	A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling. IJCNN Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
2025	J	`jnl`	A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1. Comput. Medical Imaging Graph. Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi
2025	A	`conf`	Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models. CIKM Giulia Di Teodoro, Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri
2025	B	`conf`	Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights. IJCNN Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
2025	J	`jnl`	AutoBench: Automating LLM Evaluation through Reciprocal Peer Assessment. CoRR Dario Loi, Elena Maria Muià, Federico Siciliano, Giovanni Trappolini, Vincenzo Crisà, Peter Kruger, Fabrizio Silvestri
2025	—	`conf`	Caser+ and CosRec+: Closing the Gap Between CNNs and Attention Models in SRS. IIR Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
2025	—	`conf`	Comparing Recommendation Losses under Negative Sampling. IIR Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
2025	J	`jnl`	Consistent Counterfactual Explanations via Anomaly Control and Data Coherence. IEEE Trans. Artif. Intell. Maria Movin, Federico Siciliano, Rui Ferreira, Fabrizio Silvestri, Gabriele Tolomei
2025	J	`jnl`	Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs. CoRR Emanuele Mule, Stefano Fiorini, Antonio Purificato, Federico Siciliano, Stefano Coniglio, Fabrizio Silvestri
2025	A*	`conf`	IR-RAG @SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems. SIGIR Negar Arabzadeh, Ziheng Chen, Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini
2025	—	`ed.`	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. RobustRecSys@RecSys Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri
2025	J	`jnl`	Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks. IEEE Access Giovanni Trappolini, Antonio Purificato, Federico Siciliano, Luigi D'Addona, Anna Maria Spagnolo, Domenico Dato, Fabrizio Silvestri
2025	A	`conf`	TIM-Rec: Explicit Sparse Feedback on Multi-Item Upselling Recommendations in an Industrial Dataset of Telco Calls. RecSys Alessandro Sbandi, Federico Siciliano, Fabrizio Silvestri
2025	J	`jnl`	The perils of stealthy data poisoning attacks in misogynistic content moderation. Online Soc. Networks Media Syrine Enneifer, Federica Baccini, Federico Siciliano, Irene Amerini, Fabrizio Silvestri
2025	J	`jnl`	Titans Revisited: A Lightweight Reimplementation and Critical Analysis of a Test-Time Memory Model. CoRR Gavriel Di Nepi, Federico Siciliano, Fabrizio Silvestri
2024	J	`jnl`	A Reproducible Analysis of Sequential Recommender Systems. CoRR Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri
2024	J	`jnl`	A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling. CoRR Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
2024	—	`conf`	Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems. IIR Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri
2024	—	`conf`	Human-in-the-Loop Personalized Counterfactual Recourse. xAI (3) Carlo Abrate, Federico Siciliano, Francesco Bonchi, Fabrizio Silvestri
2024	A*	`conf`	IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems. SIGIR Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini
2024	—	`conf`	Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations. ECIR (2) Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri
2024	A	`conf`	Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking. CIKM Alessandro Sbandi, Federico Siciliano, Fabrizio Silvestri
2024	—	`ed.`	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. IR-RAG@SIGIR Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini
2024	J	`jnl`	Report on the 1st Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2024) at SIGIR 2024. SIGIR Forum Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini
2024	—	`conf`	Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation. IIR Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri
2024	—	`conf`	Robust Solutions for Ranking Variability in Recommender Systems. RobustRecSys@RecSys Bonifacio Marco Francomano, Federico Siciliano, Fabrizio Silvestri
2024	—	`conf`	Robust Training of Sequential Recommender Systems with Missing Input Data. RobustRecSys@RecSys Federico Siciliano, Shoval Lagziel, Iftah Gamzu, Gabriele Tolomei
2024	A	`conf`	RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems. RecSys Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri
2024	J	`jnl`	Static Pruning in Dense Retrieval using Matrix Decomposition. CoRR Federico Siciliano, Francesca Pezzuti, Nicola Tonellotto, Fabrizio Silvestri
2024	A*	`conf`	The Power of Noise: Redefining Retrieval for RAG Systems. SIGIR Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri
2024	J	`jnl`	The Power of Noise: Redefining Retrieval for RAG Systems. CoRR Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri
2023	J	`jnl`	A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1. CoRR Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi
2023	—	`conf`	Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it. PKDD/ECML Workshops (2) Federico Siciliano, Luca Maiano, Lorenzo Papa, Federica Baccini, Irene Amerini, Fabrizio Silvestri
2023	J	`jnl`	Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It. CoRR Federico Siciliano, Luca Maiano, Lorenzo Papa, Federica Baccini, Irene Amerini, Fabrizio Silvestri
2023	—	`conf`	Concept Distillation in Graph Neural Networks. xAI (3) Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò
2023	J	`jnl`	Deep active learning for misinformation detection using geometric deep learning. Online Soc. Networks Media Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri
2023	A	`conf`	Integrating Item Relevance in Training Loss for Sequential Recommender Systems. RecSys Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
2023	J	`jnl`	Integrating Item Relevance in Training Loss for Sequential Recommender Systems. CoRR Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
2023	J	`jnl`	Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. CoRR Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri
2023	A*	`conf`	Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels. CVPR Maria Sofia Bucarelli, Lucas Cassano, Federico Siciliano, Amin Mantrach, Fabrizio Silvestri
2023	—	`conf`	RRAML: Reinforced Retrieval Augmented Machine Learning. DP@AI*IA Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini
2023	J	`jnl`	RRAML: Reinforced Retrieval Augmented Machine Learning. CoRR Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini
2023	J	`jnl`	The CAESAR Project for the ASI Space Weather Infrastructure. Remote. Sens. 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, Valeria Mangano, Maria Federica Marcucci, M. Martucci, Stefano Massetti, Giusi Micela, Anna Milillo, Rositsa Miteva, Marco Molinaro, R. Mugatwala, Alessandro 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
2022	J	`jnl`	Encoding Concepts in Graph Neural Networks. CoRR Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik
2022	B	`conf`	FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection. IJCNN Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri
2022	B	`conf`	NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. IJCNN Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri
2021	J	`jnl`	NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. CoRR Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri