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Federico Siciliano
Hi! I’m Federico Siciliano, a post-doc at Sapienza University of Rome. My research interests include Explainable Artificial Intelligence, Foundations of Deep Learning and Information Retrieval. I’m part of the RSTLess research group, which focuses on Robust, Safe and Transparent Deep Learning. Prior to this, I completed my PhD in Data Science at Sapienza University of Rome.
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Di Teodoro, Giulia; Siciliano, Federico; Guarrasi, Valerio; Vandamme, Anne-Mieke; Ghisetti, Valeria; Sönnerborg, Anders; Zazzi, Maurizio; Silvestri, Fabrizio; Palagi, Laura;
2025
Report on the 1st Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2024) at SIGIR 2024
Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
2025
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
Purificato, Antonio; Cassarà, Giulia; Siciliano, Federico; Liò, Pietro; Silvestri, Fabrizio;
2025
Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks
Giovanni Trappolini, Antonio Purificato, Federico Siciliano, Luigi D’Addona, Anna Maria Spagnolo, Domenico Dato, Fabrizio Silvestri
2025
Caser+ and CosRec+: Closing the Gap Between CNNs and Attention Models in SRS
Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
2025
Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
Emanuele Mule, Stefano Fiorini, Antonio Purificato, Federico Siciliano, Stefano Coniglio, Fabrizio Silvestri
2025
Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights
Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
2025
A Reproducible Analysis of Sequential Recommender Systems
Betello, Filippo; Purificato, Antonio; Siciliano, Federico; Trappolini, Giovanni; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling
Di Teodoro, Giulia; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Architectural components of trustworthy Artificial Intelligence
Siciliano, Federico;
2024
Consistent Counterfactual Explanations via Anomaly Control and Data Coherence
Movin, Maria; Siciliano, Federico; Ferreira, Rui; Silvestri, Fabrizio; Tolomei, Gabriele;
2024
Human-in-the-Loop Personalized Counterfactual Recourse
Abrate, Carlo; Siciliano, Federico; Bonchi, Francesco; Silvestri, Fabrizio;
2024
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
2024
IR-RAG@ SIGIR24: Information Retrieval's Role in RAG Systems
Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
2024
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
2024
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Robust Solutions for Ranking Variability in Recommender Systems
Francomano, Bonifacio Marco; Siciliano, Federico; Silvestri, Fabrizio;
2024
Robust training of sequential recommender systems with missing input data
Siciliano, Federico; Lagziel, Shoval; Gamzu, Iftah; Tolomei, Gabriele;
2024
RobustRecSys@ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems
Guarrasi, Valerio; Siciliano, Federico; Silvestri, Fabrizio;
2024
Static Pruning in Dense Retrieval using Matrix Decomposition
Siciliano, Federico; Pezzuti, Francesca; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
The Power of Noise: Redefining Retrieval for RAG Systems
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio
2024
The power of noise: Redefining retrieval for rag systems
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
A data-driven approach to refine predictions of differentiated thyroid cancer outcomes: a prospective multicenter study
Grani, Giorgio; Gentili, Michele; Siciliano, Federico; Albano, Domenico; Zilioli, Valentina; Morelli, Silvia; Puxeddu, Efisio; Zatelli, Maria Chiara; Gagliardi, Irene; Piovesan, Alessandro;
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, Irene Amerini, Fabrizio Silvestri
2023
Adversarial data poisoning for fake news detection: How to make a model misclassify a target news without modifying it
Siciliano, Federico; Maiano, Luca; Papa, Lorenzo; Baccini, Federica; Amerini, Irene; Silvestri, Fabrizio;
2023
Concept Distillation in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro;
2023
Deep active learning for misinformation detection using geometric deep learning
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
2023
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Siciliano, Federico; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
2023
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
Bucarelli, Maria Sofia; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio;
2023
RRAML: Reinforced Retrieval Augmented Machine Learning
Bacciu, Andrea; Cuconasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
2023
Adata-driven approach reveals emerging risk factors for recurrent and persistent differentiated thyroid cancer
Gentili, Michele; Grani, Giorgio; Siciliano, Federico;
2022
Comparing long short-term memory and convolutional neural networks in SYM-H index forecasting
Siciliano, Federico; Consolini, Giuseppe; Giannattasio, Fabio;
2022
Encoding Concepts in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Lio, Pietro;
2022
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
2022
Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
2022
Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures
Greco, F; Polli, A; Siciliano, F;
2022
Newron: a new generalization of the artificial neuron to enhance the interpretability of neural networks
Siciliano, Federico; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio;
2022
Forecasting SYM‐H Index: A Comparison Between Long Short‐Term Memory and Convolutional Neural Networks
Siciliano, F; Consolini, Giuseppe; Tozzi, Roberta; Gentili, M; Giannattasio, Fabio; De Michelis, Paola;
2021
Reconstruction of F-Region Electric Current Densities from more than 2 Years of Swarm Satellite Magnetic data
Tozzi, Roberta; Pezzopane, Michael; De Michelis, Paola; Pignalberi, Alessio; Siciliano, Federico;
2016
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