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fabrizio.silvestri@uniroma1.it
Fabrizio Silvestri
Professore Ordinario
Struttura:
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
E-mail:
fabrizio.silvestri@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
2025
A Reproducible Analysis of Sequential Recommender Systems
IEEE ACCESS
2025
Eco-Aware Graph Neural Networks for Sustainable Recommendations
Recommender Systems for Sustainability and Social Good. RecSoGood 2024.
2025
STLight: A Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal Joint Processing
Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025
2025
Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks
IEEE ACCESS
2025
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
ACM TRANSACTIONS ON RECOMMENDER SYSTEMS
2025
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
ECIR 2024: Advances in Information Retrieval
2024
Evading Community Detection via Counterfactual Neighborhood Search
ACM International Conference on Knowledge Discovery and Data Mining
2024
The Power of Noise: Redefining Retrieval for RAG Systems
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
2024
DanteLLM: Let’s Push Italian LLM Research Forward!
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
2024
A topological description of loss surfaces based on Betti Numbers
NEURAL NETWORKS
2024
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation
Proceedings of the 14th Italian Information Retrieval Workshop (IIR 2024)
2024
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
2024
Consistent Counterfactual Explanations via Anomaly Control and Data Coherence
IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE
2024
CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN
DISCOVER ARTIFICIAL INTELLIGENCE
2023
Deep active learning for misinformation detection using geometric deep learning
ONLINE SOCIAL NETWORKS AND MEDIA
2023
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2023
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23)
2023
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
RecSys '23: Proceedings of the 17th ACM Conference on Recommender Systems
2023
Sparse Vicious Attacks on Graph Neural Networks
IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE
2023
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ERC
PE6_7
PE6_10
PE6_11
KET
Big data & computing
Keywords
machine learning
Information Retrieval
Artificial Intelligence (AI)
Databases
Natural Language Processing
Digital libraries,Semantic Web
Progetti di Ricerca
FedSSL: Federated Self-supervised Learning with applications to Automatic Health Diagnosis.
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