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Federico Siciliano
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2020 – today
- 2024
- [c14]Alessandro Sbandi
, Federico Siciliano
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking. CIKM 2024: 4844-4851 - [c13]Filippo Betello
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations. ECIR (2) 2024: 205-220 - [c12]Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems. IIR 2024: 78-81 - [c11]Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri:
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation. IIR 2024: 95-98 - [c10]Valerio Guarrasi
RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems. RecSys 2024: 1265-1269 - [c9]Florin Cuconasu
The Power of Noise: Redefining Retrieval for RAG Systems. SIGIR 2024: 719-729 - [c8]Fabio Petroni
IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems. SIGIR 2024: 3036-3039 - [c7]Carlo Abrate, Federico Siciliano
Human-in-the-Loop Personalized Counterfactual Recourse. xAI (3) 2024: 18-38 - [e1]Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini:
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. CEUR Workshop Proceedings 3784, CEUR-WS.org 2024 [contents] - [i9]Florin Cuconasu
The Power of Noise: Redefining Retrieval for RAG Systems. CoRR abs/2401.14887 (2024) - [i8]Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri:
A Reproducible Analysis of Sequential Recommender Systems. CoRR abs/2408.03873 (2024) - 2023
- [j2]Giorgio Barnabò, Federico Siciliano
Deep active learning for misinformation detection using geometric deep learning. Online Soc. Networks Media 33: 100244 (2023) - [j1]Monica Laurenza
The CAESAR Project for the ASI Space Weather Infrastructure. Remote. Sens. 15(2): 346 (2023) - [c6]Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini:
RRAML: Reinforced Retrieval Augmented Machine Learning. DP@AI*IA 2023: 29-37 - [c5]Maria Sofia Bucarelli
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels. CVPR 2023: 3439-3448 - [c4]Andrea Bacciu
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. RecSys 2023: 1114-1119 - [c3]Lucie Charlotte Magister
Concept Distillation in Graph Neural Networks. xAI (3) 2023: 233-255 - [i7]Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri:
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. CoRR abs/2305.10824 (2023) - [i6]Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini:
RRAML: Reinforced Retrieval Augmented Machine Learning. CoRR abs/2307.12798 (2023) - [i5]Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. CoRR abs/2307.13165 (2023) - [i4]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 abs/2312.15228 (2023) - [i3]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 abs/2312.17506 (2023) - 2022
- [c2]Giorgio Barnabò, Federico Siciliano
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection. IJCNN 2022: 1-8 - [c1]Federico Siciliano
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. IJCNN 2022: 1-17 - [i2]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano
Encoding Concepts in Graph Neural Networks. CoRR abs/2207.13586 (2022) - 2021
- [i1]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 abs/2110.02775 (2021)
Coauthor Index
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