Federico Siciliano

Orcid: 0000-0003-1339-6983

According to our database¹, Federico Siciliano authored at least 30 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Bibliography

2025

A Systematic Replicability and Comparative Study of BSARec and SASRec for Sequential Recommendation.

[BibT_eX]

[DOI]

Chiara D'Ercoli

Giulia Di Teodoro

Federico Siciliano

CoRR, June, 2025

Consistent Counterfactual Explanations via Anomaly Control and Data Coherence.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., April, 2025

A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2025

Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks.

[BibT_eX]

[DOI]

IEEE Access, 2025

A Reproducible Analysis of Sequential Recommender Systems.

[BibT_eX]

[DOI]

IEEE Access, 2025

IR-RAG @SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

Report on the 1st Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2024) at SIGIR 2024.

[BibT_eX]

[DOI]

SIGIR Forum, December, 2024

Static Pruning in Dense Retrieval using Matrix Decomposition.

[BibT_eX]

[DOI]

CoRR, 2024

A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling.

[BibT_eX]

[DOI]

CoRR, 2024

Human-in-the-Loop Personalized Counterfactual Recourse.

[BibT_eX]

[DOI]

Proceedings of the Explainable Artificial Intelligence, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Robust Training of Sequential Recommender Systems with Missing Input Data.

[BibT_eX]

[DOI]

Proceedings of the Workshop Design, 2024

Robust Solutions for Ranking Variability in Recommender Systems.

[BibT_eX]

[DOI]

Bonifacio Marco Francomano

Federico Siciliano

Fabrizio Silvestri

Proceedings of the Workshop Design, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Giancarlo De Gasperis

Maria Federica Marcucci

Carlo Francesco Vigorito

Remote. Sens., January, 2023

Deep active learning for misinformation detection using geometric deep learning.

[BibT_eX]

[DOI]

Giovanni Da San Martino

Fabrizio Silvestri

Online Soc. Networks Media, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Concept Distillation in Graph Neural Networks.

[BibT_eX]

[DOI]

Lucie Charlotte Magister

Proceedings of the Explainable Artificial Intelligence, 2023

Integrating Item Relevance in Training Loss for Sequential Recommender Systems.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

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

[BibT_eX]

[DOI]

Maria Sofia Bucarelli

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

RRAML: Reinforced Retrieval Augmented Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Discussion Papers, 2023

2022

Encoding Concepts in Graph Neural Networks.

[BibT_eX]

[DOI]

Lucie Charlotte Magister

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Giovanni Da San Martino

Fabrizio Silvestri

Proceedings of the International Joint Conference on Neural Networks, 2022

Federico Siciliano

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