Federico Siciliano

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Item Based Collaborative Filtering

Dimensional Vector

Top Venues

Publications

Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations. ECIR (2) (2024)
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 (2024)
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)
Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini
IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems. SIGIR (2024)
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 (2023)
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)
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)
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 (2023)
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 (2023)
Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. RecSys (2023)
Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini
RRAML: Reinforced Retrieval Augmented Machine Learning. DP@AI*IA (2023)
Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. CoRR (2023)
Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. CoRR (2023)
Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini
RRAML: Reinforced Retrieval Augmented Machine Learning. CoRR (2023)
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)
Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik
Encoding Concepts in Graph Neural Networks. CoRR (2022)
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)
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 (2021)