Papers
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
Cuconasu, Florin; Trappolini, Giovanni; Tonellotto, Nicola; Silvestri, Fabrizio;
ACL 2026 Workshop RAG4Reports - Proceedings of the 1st Workshop on Multilingual Report Generation via Retrieval Augmented Generation (RAG4Reports 2026)
Antonio Purificato, Maria Sofia Bucarelli, Anil Kumar Nelakanti, Andrea Bacciu, Fabrizio Silvestri, Amin Mantrach
Proceedings of The 29th International Conference on Artificial Intelligence and Statistics , 2026
Emanuele Mule, Stefano Fiorini, Antonio Purificato, Federico Siciliano, Stefano Coniglio, Fabrizio Silvestri
International Conference on Learning Representations
Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation
Salmè, Marco; Siciliano, Federico; Silvestri, Fabrizio; Soda, Paolo; Sicilia, Rosa; Guarrasi, Valerio;
arXiv preprint arXiv:2602.15650
Bucarelli, Maria Sofia; Purificato, Antonio; Bacciu, Andrea; Cassano, Lucas; Siciliano, Federico; Nelakanti, Anil; Mantrach, Amin; Silvestri, Fabrizio;
IEEE Transactions on Artificial Intelligence
Redefining Retrieval Evaluation in the Era of LLMs
Trappolini, Giovanni; Cuconasu, Florin; Filice, Simone; Maarek, Yoelle; Silvestri, Fabrizio;
EACL 2026
Caso, Francesco; Fonio, Samuele; Saccomanno, Nicola; Monaco, Simone; Silvestri, Fabrizio;
ICLR 2026
Bern\'ardez, Guillermo and Telyatnikov, Lev and Papillon, Mathilde and Montagna, Marco and Theiler, Raffael and Cornelis, Louisa and Mathe, Johan and Ferriol, Miquel and Vasylenko, Pavlo and Van Looy, Jan-Willem and Testa, Lucia and Neri, Bruno and Genovese, Donatella and Weber, Melanie and Wei, Amaury and Devoto, Alessio and Weers, Alexander and Jankowski, Robert and Cino, Loris and Leko, David and Banf, Michael and M\"{u}ller, Jonas and Grapentin, Thomas and Paik, Taejin and Dutta, Abhijeet and Walter, Hugo and Fontanari, Thomas Vaitses and Ghasemi, Ali and Loi, Dario and S\'aez de Oc\'ariz Borde, Haitz and Aguilar-Arg\"uello, Gabriela and da Rosa, Giovanni B. and Saulus, Th\'eo and Dolores-Cuenca, Eric Rubiel and Di Nino, Leonardo and Leroy, Pierrick and Pandolfo, Mario Edoardo and Cavallo, Andrea and Qin, Yu and Snopov, Pavel and Akbari, Amirreza and Meza-Ch\'avez, Ixchel and Van Langendonck, Louis and Able, Jared and Meshcheryakova, Maria Yuffa and Tsay, Henry and Beni\'c, Luka and Filipiak, Dominik and Liu, Patrick and Liang, Huidong and Santos da Rosa Jr., Alexsandro and Cattai, Tiziana and Borges, Henrique M. and Grimaldi, Enrico and Lecha, Manuel and Battiloro, Claudio and Liu, Xuan-Chen and Deshpande, Raj and Johnson, Graham and Morgunov, Igor and Micheron, Hugo and Devaux, R\'emi and Jardin, Antoine and Emerson, Tegan and Fink, Olga and Miolane, Nina
Topology, Algebra, and Geometry in Data Science (TAG-DS 2025)
Purificato, Antonio; Bucarelli, Maria Sofia; Bacciu, Andrea; Mantrach, Amin; Silvestri, Fabrizio
arXiv preprint arXiv:2603.21840
Wani, Farooq Ahmad; Purificato, Antonio; Bucarelli, Maria Sofia; Di Francesco, Andrea Giuseppe; Corelli, Michael; Pryymak, Oleksandr; Silvestri, Fabrizio;
HAL preprint
Schaerf, Ludovica; Purificato, Antonio; Riccio, Piera; Silvestri, Fabrizio; Garcia, Noa;
ECCV 2026
Purificato, Antonio; Bucarelli, Maria Sofia; Bacciu, Andrea; Mantrach, Amin; Silvestri, Fabrizio;
arXiv preprint arXiv:2608.27974
Beyond Language Specialization: A RAG Evaluation of Italian LLMs
Agabiti, Riccardo; Trappolini, Giovanni; Rago, Salvatore Michele; Romagnoli, Raniero; Giannone, Cristina; Silvestri Fabrizio;
CLiC-it
Directional sheaf hypergraph networks: Unifying learning on directed and undirected hypergraphs
Mule, Emanuele; Fiorini, Stefano; Purificato, Antonio; Siciliano, Federico; Coniglio, Stefano; Silvestri, Fabrizio;
International Conference on Learning Representations
Rank Lifting and Random Non-Linear Maps
Drago, Andrea; Bucarelli, Maria Sofia; Caso, Francesco; Michetti, Marius; Siciliano, Federico; Silvestri, Fabrizio; Becchetti, Luca;
The 29th International Conference on Artificial Intelligence and Statistics
Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation
Salmè, Marco; Siciliano, Federico; Silvestri, Fabrizio; Soda, Paolo; Sicilia, Rosa; Guarrasi, Valerio;
Information Systems Frontiers
Balancing the Diversity-Coverage Trade-off in Graph-based Recommendations for Cold-Start Industrial Applications
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
ACM Transactions on Recommender Systems
When Annotators Disagree: A Principled Approach to Learning with Noisy Labels
Bucarelli, Maria Sofia; Purificato, Antonio; Bacciu, Andrea; Cassano, Lucas; Siciliano, Federico; Nelakanti, Anil; Mantrach, Amin; Silvestri, Fabrizio;
IEEE Transactions on Artificial Intelligence
CRAB: Churn Reduction Agent Based via Reinforcement Learning
Sbandi, Alessandro; Kaploukhaya, Nina; Siciliano, Federico; Anagnostopoulos, Aris; Silvestri, Fabrizio;
ACM Transactions on Recommender Systems
Load-sensitive Selective Pruning in Dense Retrieval
Calugaru, Maria Diana; Siciliano, Federico; Pezzuti, Francesca; Tonellotto, Nicola; Silvestri, Fabrizio;
Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval
CATS: Cluster-Aware Thompson Sampling for Negative Mining in Sequential Recommendation
Di Teodoro, Giulia; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval
Efficient Recommendations via Graph Coarsening and Label Propagation
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
arXiv preprint arXiv:2607.22287
Rauh, Maribeth; AH Blankvoort, Dick; Duran, Matias; Ní Dheoráin, Caoilfhionn; J Pandit, Harshvardhan; Enneifer, Syrine; D Jaiswal, Siddharth; Ventresque, Anthony; Birhane, Abeba
arXiv preprint arXiv:2605.08093
Iterative reranking as a compute-scaling method for LLM-based rankers
Czinczoll, Tamara; Liu, Dong; Betello, Filippo;
European Conference on Information Retrieval
PONTE: Personalized Orchestration for Natural Language Trustworthy Explanations
Vineis, Vittoria; Silvestri, Matteo; Antonelli, Lorenzo; Betello, Filippo; Tolomei, Gabriele;
arXiv preprint arXiv:2603.06485
Your LLM Has a Passport: Investigating Brand Origin Geographic Bias in E-Commerce Rankings
Betello, Filippo; Missault, Paul; Czinczoll, Tamara; Beliuha, Maryna;
The 2026 ACM Conference on Fairness, Accountability, and Transparency
Betello, Filippo; Purificato, Antonio; Tonellotto, Nicola; Silvestri, Fabrizio;
arXiv preprint arXiv:2609.18695
Wani, Farooq Ahmad; Suglia, Alessandro; Saxena, Rohit; Gema, Aryo Pradipta; Kwan, Wai-Chung; Barez, Fazl; Bucarelli, Maria Sofia; Silvestri, Fabrizio; Minervini, Pasquale;
Empirical Methods in Natural Language Processing
Mozafari, Mostafa; Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
Machine Learning and Knowledge Discovery in Databases. Research Track
Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Mirza, Mujtaba Hussain; Pryymak, Oleksandr; Gema, Aryo Pradipta; Masi, Iacopo; Minervini, Pasquale; Silvestri, Fabrizio;
arXiv preprint arXiv:2609.20139
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;
Computerized Medical Imaging and Graphics
Entropy-lens: The information signature of transformer computations
Ali, Riccardo; Caso, Francesco; Irwin, Christopher; Liò, Pietro;
arXiv preprint arXiv:2502.16570
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;
ACM SIGIR Forum
Purificato, Antonio; Cassarà, Giulia; Siciliano, Federico; Liò, Pietro; Silvestri, Fabrizio;
ACM Transactions on Recommender Systems
The Distracting Effect: Understanding Irrelevant Passages in RAG
Amiraz, Chen; Cuconasu, Florin; Filice, Simone; Karnin, Zohar;
arXiv preprint arXiv:2505.06914
Filippo Betello, Antonio Purificato, Vittoria Vineis, Gabriele Tolomei, Fabrizio Silvestri
arXiv preprint arXiv:2505.01468
Giovanni Trappolini, Antonio Purificato, Federico Siciliano, Luigi D’Addona, Anna Maria Spagnolo, Domenico Dato, Fabrizio Silvestri
IEEE Access
Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
Proc. of the 15th Italian Information Retrieval Workshop
Mule*, Emanuele; Pannacci*, Matteo; Ghasemi*, Ali; Pro, Francesco; Papa, Lorenzo; Maiano, Luca; Amerini, Irene;
Proceedings of the Winter Conference on Applications of Computer Vision
Ghasemi, Ali; Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
LoG 2026
Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
2025 International Joint Conference on Neural Networks (IJCNN)
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;
Computerized Medical Imaging and Graphics
A theoretical analysis of recommendation loss functions under negative sampling
Di Teodoro, Giulia; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
2025 International Joint Conference on Neural Networks (IJCNN)
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;
ACM SIGIR Forum
A Systematic Replicability and Comparative Study of BSARec and SASRec for Sequential Recommendation
D'Ercoli, Chiara; Di Teodoro, Giulia; Siciliano, Federico;
arXiv preprint arXiv:2506.14692
IR-RAG@ SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems
Arabzadeh, Negar; Chen, Ziheng; Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval
Comparing Recommendation Losses under Negative Sampling
Di Teodoro, Giulia; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
TIM-Rec: Explicit Sparse Feedback on Multi-Item Upselling Recommendations in an Industrial Dataset of Telco Calls
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
Proceedings of the Nineteenth ACM Conference on Recommender Systems
Enneifer, Syrine; Baccini, Federica; Siciliano, Federico; Amerini, Irene; Silvestri, Fabrizio;
Online Social Networks and Media
AutoBench: Automating LLM Evaluation through Reciprocal Peer Assessment
Loi, Dario; Muià, Elena Maria; Siciliano, Federico; Trappolini, Giovanni; Crisà, Vincenzo; Kruger, Peter; Silvestri, Fabrizio;
arXiv preprint arXiv:2510.22593
Titans Revisited: A Lightweight Reimplementation and Critical Analysis of a Test-Time Memory Model
Di Nepi, Gavriel; Siciliano, Federico; Silvestri, Fabrizio;
arXiv preprint arXiv:2510.09551
Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models
Di Teodoro, Giulia; Guarrasi, Valerio; Siciliano, Federico; Silvestri, Fabrizio;
Proceedings of the 34th ACM International Conference on Information and Knowledge Management
The distracting effect: Understanding irrelevant passages in rag
Amiraz, Chen; Cuconasu, Florin; Filice, Simone; Karnin, Zohar;
ACL 2025
Do RAG Systems Really Suffer From Positional Bias?
Cuconasu, Florin; Filice, Simone; Horowitz, Guy; Maarek, Yoelle; Silvestri, Fabrizio;
EMNLP 2025
Beyond Relevance: Quantifying Distraction of Irrelevant Passages in RAG
Amiraz, Chen; Cuconasu, Florin; Filice, Simone; Karnin, Zohar;
Proceedings of the 15th Italian Information Retrieval Workshop
Di Francesco, Andrea Giuseppe; Caso, Francesco; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
2025 International Joint Conference on Neural Networks (IJCNN)
Caso, Francesco; Trappolini, Giovanni; Bacciu, Andrea; Liò, Pietro; Silvestri, Fabrizio;
2025 International Joint Conference on Neural Networks (IJCNN)
Mule*, Emanuele; Pannacci*, Matteo; Ghasemi*, Ali; Pro, Francesco; Papa, Lorenzo; Maiano, Luca; Amerini, Irene;
Proceedings of the Winter Conference on Applications of Computer Vision
Ghasemi, Ali; Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
LoG 2026
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;
Computerized Medical Imaging and Graphics
Sheaf4rec: Sheaf neural networks for graph-based recommender systems
Purificato, Antonio; Cassarà, Giulia; Siciliano, Federico; Liò, Pietro; Silvestri, Fabrizio;
ACM Transactions on Recommender Systems
A theoretical analysis of recommendation loss functions under negative sampling
Di Teodoro, Giulia; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
2025 International Joint Conference on Neural Networks (IJCNN)
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;
ACM SIGIR Forum
Quantized auto encoder-based anomaly detection for multivariate time series data in 5g networks
Trappolini, Giovanni; Purificato, Antonio; Siciliano, Federico; D’Addona, Luigi; Spagnolo, Anna Maria; Dato, Domenico; Silvestri, Fabrizio;
IEEE Access
A Systematic Replicability and Comparative Study of BSARec and SASRec for Sequential Recommendation
D'Ercoli, Chiara; Di Teodoro, Giulia; Siciliano, Federico;
arXiv preprint arXiv:2506.14692
IR-RAG@ SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems
Arabzadeh, Negar; Chen, Ziheng; Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval
Caser+ and CosRec+: Closing the Gap Between CNNs and Attention Models in SRS.
Siciliano, Federico; Purificato, Antonio; Betello, Filippo; Tonellotto, Nicola; Silvestri, Fabrizio;
IIR
Comparing Recommendation Losses under Negative Sampling.
Di Teodoro, Giulia; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
IIR
TIM-Rec: Explicit Sparse Feedback on Multi-Item Upselling Recommendations in an Industrial Dataset of Telco Calls
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
Proceedings of the Nineteenth ACM Conference on Recommender Systems
The perils of stealthy data poisoning attacks in misogynistic content moderation
Enneifer, Syrine; Baccini, Federica; Siciliano, Federico; Amerini, Irene; Silvestri, Fabrizio;
Online Social Networks and Media
AutoBench: Automating LLM Evaluation through Reciprocal Peer Assessment
Loi, Dario; Muià, Elena Maria; Siciliano, Federico; Trappolini, Giovanni; Crisà, Vincenzo; Kruger, Peter; Silvestri, Fabrizio;
arXiv preprint arXiv:2510.22593
Titans Revisited: A Lightweight Reimplementation and Critical Analysis of a Test-Time Memory Model
Di Nepi, Gavriel; Siciliano, Federico; Silvestri, Fabrizio;
arXiv preprint arXiv:2510.09551
Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models
Di Teodoro, Giulia; Guarrasi, Valerio; Siciliano, Federico; Silvestri, Fabrizio;
Proceedings of the 34th ACM International Conference on Information and Knowledge Management
Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights
Siciliano, Federico; Purificato, Antonio; Betello, Filippo; Tonellotto, Nicola; Silvestri, Fabrizio;
2025 International Joint Conference on Neural Networks (IJCNN)
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
Betello, Filippo; Purificato, Antonio; Vineis, Vittoria; Tolomei, Gabriele; Silvestri, Fabrizio;
arXiv preprint arXiv:2505.01468
QPP-RA: Aggregating Large Language Model Rankings
Betello, Filippo; Russo, Matteo; Dütting, Paul; Leonardi, Stefano; Silvestri, Fabrizio;
Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)
Demystifying Sequential Recommendations: Counterfactual Explanations via Genetic Algorithms
Scarcelli, Domiziano; Betello, Filippo; Perelli, Giuseppe; Silvestri, Fabrizio; Tolomei, Gabriele;
arXiv preprint arXiv:2508.03606
Caser+ and CosRec+: Closing the Gap Between CNNs and Attention Models in SRS.
Siciliano, Federico; Purificato, Antonio; Betello, Filippo; Tonellotto, Nicola; Silvestri, Fabrizio;
IIR
Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights
Siciliano, Federico; Purificato, Antonio; Betello, Filippo; Tonellotto, Nicola; Silvestri, Fabrizio;
2025 International Joint Conference on Neural Networks (IJCNN)
Wani, Taiba Majid; Uecker, Madleen; Wani, Farooq Ahmad; Amerini, Irene;
SAC '25
Wani, Farooq; Bucarelli, Maria Sofia; Di Teodoro, Giulia; Di Francesco, Andrea Giuseppe;
International Joint Conference on Neural Networks
∇ τ: Gradient-based and Task-Agnostic machine Unlearning
Trippa, Daniel; Campagnano, Cesare; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio;
CoRR
Betello, Filippo; Purificato, Antonio; Siciliano, Federico; Trappolini, Giovanni; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
IEEE Access
A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling
Di Teodoro, Giulia; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
arXiv preprint arXiv:2411.07770
A topological description of loss surfaces based on Betti Numbers
Bucarelli, Maria Sofia; D’Inverno, Giuseppe Alessio; Bianchini, Monica; Scarselli, Franco; Silvestri, Fabrizio;
Neural Networks
Architectural components of trustworthy Artificial Intelligence
Siciliano, Federico;
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study
Porcaro, Lorenzo; Gómez, Emilia; Castillo, Carlos;
ACM Transactions on Recommender Systems
ATM: Improving Model Merging by Alternating Tuning and Merging
Zhou, Luca; Solombrino, Daniele; Crisostomi, Donato; Bucarelli, Maria Sofia; Silvestri, Fabrizio; Rodolà, Emanuele;
arXiv preprint arXiv:2411.03055
Consistent Counterfactual Explanations via Anomaly Control and Data Coherence
Movin, Maria; Siciliano, Federico; Ferreira, Rui; Silvestri, Fabrizio; Tolomei, Gabriele;
IEEE Transactions on Artificial Intelligence
Development of an app for a science-based prescription of haemodialysis
Peyronel Francesco; Rossi Alberto; Palazzini Giulia; Tagliavini Dante; Baccini Federica;
Nephrology dialysis transplantation Volume 39
Purificato, Antonio; Silvestri, Fabrizio;
International Workshop on Recommender Systems for Sustainability and Social Good
Fine-grained classification of journal articles based on multiple layers of information through similarity network fusion: The case of the Cambridge Journal of Economics
Baccini Alberto; Baccini Federica; Barabesi Lucio; Cioni Martina; Petrovich Eugenio; Pignalosa Daria;
Scientometrics
Human-in-the-Loop Personalized Counterfactual Recourse
Abrate, Carlo; Siciliano, Federico; Bonchi, Francesco; Silvestri, Fabrizio;
World Conference on Explainable Artificial Intelligence
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Bernárdez, Guillermo; Telyatnikov, Lev; Montagna, Marco; Baccini, Federica; Papillon, Mathilde; Ferriol-Galmés, Miquel; Hajij, Mustafa; Papamarkou, Theodore; Bucarelli, Maria Sofia; Zaghen, Olga;
arXiv preprint arXiv:2409.05211
Improving reliability in deep learning: exploring generalization bounds, noisy label handling, and loss surface characterization
Bucarelli, MARIA SOFIA;
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
European Conference on Information Retrieval
IR-RAG@ SIGIR24: Information Retrieval's Role in RAG Systems
Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
2024 International Joint Conference on Neural Networks (IJCNN)
Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach
Di Francesco, Andrea Giuseppe; Caso, Francesco; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
arXiv preprint arXiv:2402.14802
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
Wani, Taiba Majid; Qadri, Syed Asif Ahmad; Wani, Farooq Ahmad; Amerini, Irene;
Foundations and Trends® in Privacy and Security
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;
CEUR WORKSHOP PROCEEDINGS
Robust Solutions for Ranking Variability in Recommender Systems
Francomano, Bonifacio Marco; Siciliano, Federico; Silvestri, Fabrizio;
Robust training of sequential recommender systems with missing input data
Siciliano, Federico; Lagziel, Shoval; Gamzu, Iftah; Tolomei, Gabriele;
Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Di Francesco, Andrea Giuseppe; Pryymak, Oleksandr; Silvestri, Fabrizio;
arXiv preprint arXiv:2412.08419
RobustRecSys@ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems
Guarrasi, Valerio; Siciliano, Federico; Silvestri, Fabrizio;
Proceedings of the 18th ACM Conference on Recommender Systems
Social Media Use and adolescents' mental health and well-being: An umbrella review
Sala, Arianna; Porcaro, Lorenzo; Gómez, Emilia;
Computers in Human Behavior Reports
Static Pruning in Dense Retrieval using Matrix Decomposition
Siciliano, Federico; Pezzuti, Francesca; Tonellotto, Nicola; Silvestri, Fabrizio;
arXiv preprint arXiv:2412.09983
Task Singular Vectors: Reducing Task Interference in Model Merging
Gargiulo, Antonio Andrea; Crisostomi, Donato; Bucarelli, Maria Sofia; Scardapane, Simone; Silvestri, Fabrizio; Rodolà, Emanuele;
arXiv preprint arXiv:2412.00081
TEXT2TASTE: a versatile egocentric vision system for intelligent reading assistance using large language model
Mucha, Wiktor; Cuconasu, Florin; Etori, Naome A; Kalokyri, Valia; Trappolini, Giovanni;
International Conference on Computers Helping People with Special Needs
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
https://dl.acm.org/doi/10.1145/3626772.3657834
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;
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study
Porcaro, Lorenzo; Gómez, Emilia; Castillo, Carlos;
ACM Transactions on Recommender Systems 🏅 Featured Article
Social Media Use and adolescents' mental health and well-being: An umbrella review
Sala, Arianna; Porcaro, Lorenzo; Gómez, Emilia;
Computers in Human Behavior Reports
Diversity in Artificial Intelligence Conferences: An analysis of indicators for gender, country and institution diversity from 2007 to 2023
Gomez, Emilia; Porcaro, Lorenzo; Frau Amar, Pedro; Vinagre, Joao;
End-user Algorithmic Auditing for Music Discoverability: A Research Roadmap
Porcaro, Lorenzo; Gómez, Emilia; Catarci, Tiziana;
2nd Music Recommender Systems Workshop (MuRS), co-located with the 18th ACM Conference on Recommender Systems
Audio-based Music Retrieval
Gómez, Emilia; Cuesta, Helena; Gkiokas, Aggelos; Gómez-Cañón, Juan; Porcaro, Lorenzo; Yesiler, Furkan;
Information Retrieval: Advanced Topics and Techniques
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;
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Architectural components of trustworthy Artificial Intelligence
Siciliano, Federico;
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
European Conference on Information Retrieval
IR-RAG@ SIGIR24: Information Retrieval's Role in RAG Systems
Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Human-in-the-Loop Personalized Counterfactual Recourse
Abrate, Carlo; Siciliano, Federico; Bonchi, Francesco; Silvestri, Fabrizio;
World Conference on Explainable Artificial Intelligence
RobustRecSys@ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems
Guarrasi, Valerio; Siciliano, Federico; Silvestri, Fabrizio;
Proceedings of the 18th ACM Conference on Recommender Systems
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
Finite rank-biased overlap (frbo): A new measure for stability in sequential recommender systems
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
CEUR WORKSHOP PROCEEDINGS
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;
CEUR WORKSHOP PROCEEDINGS
Consistent counterfactual explanations via anomaly control and data coherence
Movin, Maria; Siciliano, Federico; Ferreira, Rui; Silvestri, Fabrizio; Tolomei, Gabriele;
IEEE Transactions on Artificial Intelligence
Static Pruning in Dense Retrieval using Matrix Decomposition
Siciliano, Federico; Pezzuti, Francesca; Tonellotto, Nicola; Silvestri, Fabrizio;
arXiv preprint arXiv:2412.09983
Robust training of sequential recommender systems with missing input data
Siciliano, Federico; Lagziel, Shoval; Gamzu, Iftah; Tolomei, Gabriele;
CEUR Workshop Proceedings
Robust Solutions for Ranking Variability in Recommender Systems
Francomano, Bonifacio Marco; Siciliano, Federico; Silvestri, Fabrizio;
CEUR WORKSHOP PROCEEDINGS
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;
SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
TEXT2TASTE: a versatile egocentric vision system for intelligent reading assistance using large language model
Mucha, Wiktor; Cuconasu, Florin; Etori, Naome A; Kalokyri, Valia; Trappolini, Giovanni;
International Conference on Computers Helping People with Special Needs
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Mareek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
Proceedings of the 14th Italian Information Retrieval Workshop
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;
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Architectural components of trustworthy Artificial Intelligence
Siciliano, Federico;
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
European Conference on Information Retrieval
IR-RAG@ SIGIR24: Information Retrieval's Role in RAG Systems
Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Human-in-the-Loop Personalized Counterfactual Recourse
Abrate, Carlo; Siciliano, Federico; Bonchi, Francesco; Silvestri, Fabrizio;
World Conference on Explainable Artificial Intelligence
A reproducible analysis of sequential recommender systems
Betello, Filippo; Purificato, Antonio; Siciliano, Federico; Trappolini, Giovanni; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
IEEE Access
RobustRecSys@ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems
Guarrasi, Valerio; Siciliano, Federico; Silvestri, Fabrizio;
Proceedings of the 18th ACM Conference on Recommender Systems
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
Finite rank-biased overlap (frbo): A new measure for stability in sequential recommender systems
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
CEUR WORKSHOP PROCEEDINGS
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;
CEUR WORKSHOP PROCEEDINGS
Consistent counterfactual explanations via anomaly control and data coherence
Movin, Maria; Siciliano, Federico; Ferreira, Rui; Silvestri, Fabrizio; Tolomei, Gabriele;
IEEE Transactions on Artificial Intelligence
Static Pruning in Dense Retrieval using Matrix Decomposition
Siciliano, Federico; Pezzuti, Francesca; Tonellotto, Nicola; Silvestri, Fabrizio;
arXiv preprint arXiv:2412.09983
Robust training of sequential recommender systems with missing input data
Siciliano, Federico; Lagziel, Shoval; Gamzu, Iftah; Tolomei, Gabriele;
CEUR Workshop Proceedings
Robust Solutions for Ranking Variability in Recommender Systems
Francomano, Bonifacio Marco; Siciliano, Federico; Silvestri, Fabrizio;
CEUR WORKSHOP PROCEEDINGS
Attention-map augmentation for hypercomplex breast cancer classification
Lopez, Eleonora; Betello, Filippo; Carmignani, Federico; Grassucci, Eleonora; Comminiello, Danilo;
Pattern Recognition Letters
Investigating the robustness of sequential recommender systems against training data perturbations
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
European Conference on Information Retrieval
Learning visual stimulus-evoked EEG manifold for neural image classification
Falciglia, Salvatore; Betello, Filippo; Russo, Samuele; Napoli, Christian;
Neurocomputing
A reproducible analysis of sequential recommender systems
Betello, Filippo; Purificato, Antonio; Siciliano, Federico; Trappolini, Giovanni; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
IEEE Access
Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
IIR2024: The 14th Italian Information Retrieval Workshop, 5th - 6th September 2024, Udine, Italy
The Role of Fake Users in Sequential Recommender Systems
Betello, Filippo;
arXiv preprint arXiv:2410.09936
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;
The Journal of Clinical Endocrinology & Metabolism
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
ECML-PKDD Workshops
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;
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Analysis of Multiple Relations in Multilayer and Higher-Order Networks
BACCINI FEDERICA;
Attention-likelihood relationship in transformers
Ruscio, Valeria; Maiorca, Valentino; Silvestri, Fabrizio;
ICLR 2023 TinyPapers
Concept Distillation in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro;
World Conference on Explainable Artificial Intelligence
CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN
Barnabò, Giorgio; Trappolini, Giovanni; Lastilla, Lorenzo; Campagnano, Cesare; Fan, Angela; Petroni, Fabio; Silvestri, Fabrizio;
Discover Artificial Intelligence
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;
Online Social Networks and Media
False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture
Bragatto, Tommaso; Bucarelli, Marco Antonio; Bucarelli, Maria Sofia; Carere, Federico; Geri, Alberto; Maccioni, Marco;
Sensors
Fauno: The Italian Large Language Model that will leave you senza parole!
Bacciu, Andrea; Trappolini, Giovanni; Santilli, Andrea; Rodolà, Emanuele; Silvestri, Fabrizio;
arXiv preprint arXiv:2306.14457
FinGPT: Large Generative Models for a Small Language
Luukkonen, Risto; Komulainen, Ville; Luoma, Jouni; Eskelinen, Anni; Kanerva, Jenna; Kupari, Hanna-Mari; Ginter, Filip; Laippala, Veronika; Muennighoff, Niklas; Piktus, Aleksandra;
arXiv preprint arXiv:2311.05640
FLIRT: Federated Learning for Information Retrieval
Pinelli, Fabio; Tolomei, Gabriele; Trappolini, Giovanni;
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration
Piktus, Aleksandra; Ogundepo, Odunayo; Akiki, Christopher; Oladipo, Akintunde; Zhang, Xinyu; Schoelkopf, Hailey; Biderman, Stella; Potthast, Martin; Lin, Jimmy;
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
GATSY: Graph Attention Network for Music Artist Similarity
Di Francesco, Andrea Giuseppe; Giampietro, Giuliano; Spinelli, Indro; Comminiello, Danilo;
arXiv preprint arXiv:2311.00635
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
Telyatnikov, Lev; Bucarelli, Maria Sofia; Bernardez, Guillermo; Zaghen, Olga; Scardapane, Simone; Lio, Pietro;
arXiv preprint arXiv:2310.07684
Improving wikipedia verifiability with AI
Petroni, Fabio; Broscheit, Samuel; Piktus, Aleksandra; Lewis, Patrick; Izacard, Gautier; Hosseini, Lucas; Dwivedi-Yu, Jane; Lomeli, Maria; Schick, Timo; Bevilacqua, Michele;
Nature Machine Intelligence
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Siciliano, Federico; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
Proceedings of the 17th ACM Conference on Recommender Systems
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
Bucarelli, Maria Sofia; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio;
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Multimodal Neural Databases
Trappolini, Giovanni; Santilli, Andrea; Rodolà, Emanuele; Halevy, Alon; Silvestri, Fabrizio;
https://arxiv.org/abs/2305.01447
On Generalization Bounds for Projective Clustering
Bucarelli, Maria Sofia; Larsen, Matilde, Fjeldsø; Schwiegelshohn, Chris; Toftrup, Bech, Mads;
Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models
Tolomei, Gabriele; Campagnano, Cesare; Silvestri, Fabrizio; Trappolini, Giovanni;
arXiv preprint arXiv:2310.04875
Renormalized Graph Neural Networks
Caso, Francesco; Trappolini, Giovanni; Bacciu, Andrea; Liò, Pietro; Silvestri, Fabrizio;
arXiv preprint arXiv:2306.00707
RRAML: Reinforced Retrieval Augmented Machine Learning
Bacciu, Andrea; Cuconasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
CEUR WORKSHOP PROCEEDINGS
Scaling Data-Constrained Language Models
Muennighoff, Niklas; Rush, Alexander M; Barak, Boaz; Scao, Teven Le; Piktus, Aleksandra; Tazi, Nouamane; Pyysalo, Sampo; Wolf, Thomas; Raffel, Colin;
NeurIPS 2023 Main Track
Similarity matrix average for aggregating multiplex networks
Baccini Federica; Barabesi Lucio; Petrovich Eugenio;
Journal of Physics: Complexity
Similarity network aggregation for the analysis of glacier ecosystems
Ambrosini Roberto; Baccini Federica; Barabesi Lucio;
Environmetrics
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face
Akiki, Christopher; Ogundepo, Odunayo; Piktus, Aleksandra; Zhang, Xinyu; Oladipo, Akintunde; Lin, Jimmy; Potthast, Martin;
EMNLP 2023 Demo Track
Sparse Vicious Attacks on Graph Neural Networks
Trappolini, Giovanni; Maiorca, Valentino; Severino, Silvio; Rodola, Emanuele; Silvestri, Fabrizio; Tolomei, Gabriele;
IEEE Transactions on Artificial Intelligence
Synonymy in Korean Lexicon through the Lens of Vector Semantics
Ruscio, Valeria;
Percorsi in Civiltà dell’Asia e dell’Africa II: Quaderni di studi dottorali alla Sapienza
The CAESAR Project for the ASI Space Weather Infrastructure
Laurenza, M; Del Moro, D; Alberti, T; Battiston, R; Benella, S; Benvenuto, F; Berrilli, F; Bertello, I; Bertucci, B; Biasiotti, L;
Remote Sensing
The ROOTS Search Tool: Data Transparency for LLMs
Piktus, Aleksandra; Akiki, Christopher; Villegas, Paulo; Laurençon, Hugo; Dupont, Gérard; Luccioni, Alexandra Sasha; Jernite, Yacine; Rogers, Anna;
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Measuring and fostering diversity in Affective Computing research
Hupont, Isabelle; Tolan, Songül; Frau, Pedro; Porcaro, Lorenzo; Gómez, Emilia;
IEEE Transactions on Affective Computing
Fairness and Diversity in Information Access Systems
Porcaro, Lorenzo; Castillo, Carlos; Gómez, Emilia; Vinagre, João;
European Workshop on Algorithmic Fairness (EWAF'23)
Behind Recommender Systems: the Geography of the ACM RecSys Community
Porcaro, Lorenzo; Vinagre, João; Frau, Pedro; Hupont, Isabelle; Gómez, Emilia;
6th FAccTRec Workshop on Responsible Recommendation
The CAESAR Project for the ASI Space Weather Infrastructure
Laurenza, M; Del Moro, D; Alberti, T; Battiston, R; Benella, S; Benvenuto, F; Berrilli, F; Bertello, I; Bertucci, B; Biasiotti, L;
Remote Sensing
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
Bucarelli, Maria Sofia; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio;
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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;
Online Social Networks and Media
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;
The Journal of Clinical Endocrinology & Metabolism
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Siciliano, Federico; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
Proceedings of the 17th ACM Conference on Recommender Systems
Concept Distillation in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro;
World Conference on Explainable Artificial Intelligence
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;
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
RRAML: Reinforced Retrieval Augmented Machine Learning
Bacciu, Andrea; Cuconasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
CEUR WORKSHOP PROCEEDINGS
RRAML: Reinforced Retrieval Augmented Machine Learning
Bacciu, Andrea; Cuconasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
Proceedings of AIxIA Conference 2023
The CAESAR Project for the ASI Space Weather Infrastructure
Laurenza, M; Del Moro, D; Alberti, T; Battiston, R; Benella, S; Benvenuto, F; Berrilli, F; Bertello, I; Bertucci, B; Biasiotti, L;
Remote Sensing
Leveraging inter-rater agreement for classification in the presence of noisy labels
Bucarelli, Maria Sofia; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio;
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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;
Online Social Networks and Media
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;
The Journal of Clinical Endocrinology & Metabolism
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Siciliano, Federico; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
Proceedings of the 17th ACM Conference on Recommender Systems
Concept Distillation in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro;
World Conference on Explainable Artificial Intelligence
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;
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
RRAML: Reinforced Retrieval Augmented Machine Learning
Bacciu, Andrea; Cuconasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
CEUR WORKSHOP PROCEEDINGS
Adata-driven approach reveals emerging risk factors for recurrent and persistent differentiated thyroid cancer
Gentili, Michele; Grani, Giorgio; Siciliano, Federico;
Endocrine Abstracts
Comparing long short-term memory and convolutional neural networks in SYM-H index forecasting
Siciliano, Federico; Consolini, Giuseppe; Giannattasio, Fabio;
EGU General Assembly Conference Abstracts
Encoding Concepts in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Lio, Pietro;
arXiv preprint arXiv:2207.13586
Fair Ranking: A Critical Review, Challenges, and Future Directions
Patro, Gourab K; Porcaro, Lorenzo; Mitchell, Laura; Zhang, Qiuyue; Zehlike, Meike; Garg, Nikhil;
FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency
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 International Joint Conference on Neural Networks (IJCNN)
Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
Proc. of the 14th Italian Information Retrieval Workshop
Graph-Based Integration of Histone Modification Profiles
Baccini Federica; Bianchini Monica; Geraci Filippo
Mathematics
Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures
Greco, F; Polli, A; Siciliano, F;
JADT 2022 Proceedings: 16th International Conference on Statistical Analysis of Textual Data
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 International Joint Conference on Neural Networks (IJCNN)
Sheaf Hypergraph Networks
Duta, Iulia; Cassarà, Giulia; Silvestri, Fabrizio; Liò, Pietro
arXiv preprint arXiv:2309.17116
Similarity network fusion for scholarly journals
Baccini Federica; Barabesi Lucio; Baccini Alberto; Khelfaoui Mahdi; Gingras Yves
Journal of Informetrics
Weighted simplicial complexes and their representation power of higher-order network data and topology
Baccini Federica; Geraci Filippo; Bianconi Ginestra;
Physical Review E
Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics
Porcaro, Lorenzo; Gómez, Emilia; Castillo, Carlos;
Proceedings of the ACM on Human-Computer Interaction
Diversity in the Music Listening Experience: Insights from Focus Group Interviews
Porcaro, Lorenzo; Gómez, Emilia; Castillo, Carlos;
CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval
Fair Ranking: A Critical Review, Challenges, and Future Directions
Patro, Gourab K; Porcaro, Lorenzo; Mitchell, Laura; Zhang, Qiuyue; Zehlike, Meike; Garg, Nikhil;
FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency
Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project
Hupont, Isabelle; Gomez, Emilia; Tolan, Songul; Porcaro, Lorenzo; Freire, Ana;
AAAI 2022 Workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AIDBEI)
TROMPA-MER: an open dataset for personalized Music Emotion Recognition
Gómez-Cañón, Juan Sebastián; Gutiérrez-Páez, Nicolás; Porcaro, Lorenzo; Porter, Alastair; Cano, Estefanía; Herrera, Perfecto; Gkiokas, Aggelos; Santos, Patricia; Hernández-Leo, Davinia; Karreman, Casper;
Journal of Intelligent Information Systems
Adata-driven approach reveals emerging risk factors for recurrent and persistent differentiated thyroid cancer
Gentili, Michele; Grani, Giorgio; Siciliano, Federico;
Endocrine Abstracts
Comparing long short-term memory and convolutional neural networks in SYM-H index forecasting
Siciliano, Federico; Consolini, Giuseppe; Giannattasio, Fabio;
EGU General Assembly Conference Abstracts
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 International Joint Conference on Neural Networks (IJCNN)
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 International Joint Conference on Neural Networks (IJCNN)
Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures
Greco, F; Polli, A; Siciliano, F;
JADT 2022 Proceedings: 16th International Conference on Statistical Analysis of Textual Data
Adata-driven approach reveals emerging risk factors for recurrent and persistent differentiated thyroid cancer
Gentili, Michele; Grani, Giorgio; Siciliano, Federico;
Endocrine Abstracts
Comparing long short-term memory and convolutional neural networks in SYM-H index forecasting
Siciliano, Federico; Consolini, Giuseppe; Giannattasio, Fabio;
EGU General Assembly Conference Abstracts
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 International Joint Conference on Neural Networks (IJCNN)
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 International Joint Conference on Neural Networks (IJCNN)
Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures
Greco, F; Polli, A; Siciliano, F;
JADT 2022 Proceedings: 16th International Conference on Statistical Analysis of Textual Data
CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients
Guerranti Filippo; Mannino Mirco; Baccini Federica; Bongini Pietro; Pancino Niccol; Visibelli Anna; Marziali Sara;
Procedia Computer Science
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;
Space Weather
Measuring Diversity of Artificial Intelligence Conferences
Freire, Ana; Porcaro, Lorenzo; Gómez, Emilia;
AAAI 2021 Workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AIDBEI)
Shape registration in the time of transformers
Trappolini, Giovanni; Cosmo, Luca; Moschella, Luca; Marin, Riccardo; Melzi, Simone; Rodolà, Emanuele;
Advances in Neural Information Processing Systems
Measuring Diversity of Artificial Intelligence Conferences
Freire, Ana; Porcaro, Lorenzo; Gómez, Emilia;
AAAI 2021 Workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AIDBEI)
Emotion Annotation of Music: A Citizen Science Approach
Gutiérrez Páez, Nicolás Felipe; Gómez-Cañón, Juan Sebastián; Porcaro, Lorenzo; Santos, Patricia; Hernández-Leo, Davinia; Gómez, Emilia;
International Conference on Collaboration Technologies and Social Computing (CollabTech 2021)
How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research
Hupont, Isabelle; Tolan, Songül; Freire, Ana; Porcaro, Lorenzo; Sara, Estevez; Gómez, Emilia;
9th International Conference on Affective Computing and Intelligent Interaction (ACII)
Diversity by Design in Music Recommender Systems
Porcaro, Lorenzo; Castillo, Carlos; Gómez, Emilia;
Transactions of the International Society for Music Information Retrieval
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;
Space Weather
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;
Space Weather
Towards precise completion of deformable shapes
Halimi, Oshri; Imanuel, Ido; Litany, Or; Trappolini, Giovanni; Rodolà, Emanuele; Guibas, Leonidas; Kimmel, Ron;
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIV 16
Exploring Artist Gender Bias in Music Recommendation
Shakespeare, Dougal; Porcaro, Lorenzo; Gómez, Emilia; Castillo, Carlos;
2nd Workshop on the Impact of Recommender Systems (ImpactRS), at the 14th ACM Conference on Recommender Systems (RecSys 2020)
Balancing Exposure and Relevance in Academic Search
Ferraro, Andres; Porcaro, Lorenzo; Serra, Xavier;
NIST Conference 2020
Multiresolution Topological Data Analysis for Robust Activity Tracking
Trappolini, Giovanni; Padellini, Tullia; Brutti, Pierpaolo;
Smart Statistics for Smart Applications. Book of Short Papers SIS2019
Recognizing Musical Entities in User-generated Content
Porcaro, Lorenzo; Saggion, Horacio;
Computación y Sistemas
20 Years of Playlists: A Statistical Analysis on Popularity and Diversity
Porcaro, Lorenzo; Gomez, Emilia;
20th Conference of the International Society for Music Information Retrieval (ISMIR 2019)
Music Recommendation Diversity: A Tentative Framework and Preliminary Results
Porcaro, Lorenzo; Castillo, Carlos; Gomez, Emilia;
1st Workshop on Designing Human-Centric MIR Systems (wsHCMIR19), co-located at 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019).
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;
AGU Fall Meeting Abstracts
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;
AGU Fall Meeting Abstracts
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;
AGU Fall Meeting Abstracts
Rank Lifting and Random Non-Linear Maps
Drago, Andrea; Bucarelli, Maria Sofia; Caso, Francesco; Michetti, Marius; Siciliano, Federico; Silvestri, Fabrizio; Becchetti, Luca;
The 29th International Conference on Artificial Intelligence and Statistics
Double Descent Revisited: When Noise Amplifies and Optimizers Decide
Luciani, Erica; Bucarelli, Maria Sofia; Siciliano, Federico; Silvestri, Fabrizio; Becchetti, Luca;
Balancing the Diversity-Coverage Trade-off in Graph-based Recommendations for Cold-Start Industrial Applications
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
ACM Transactions on Recommender Systems
Caso, Francesco; Fonio, Samuele; Saccomanno, Nicola; Monaco, Simone; Silvestri, Fabrizio;
Mechanistic Interpretability Workshop at NeurIPS 2025
Drago, Andrea; Bucarelli, Maria Sofia; Caso, Francesco; Michetti, Marius; Siciliano, Federico; Silvestri, Fabrizio; Becchetti, Luca;
The 29th International Conference on Artificial Intelligence and Statistics
Caso, Francesco; Ali, Riccardo; Irwin, Christopher; Lio, Pietro;
Workshop on Scientific Methods for Understanding Deep Learning
Double Descent Revisited: When Noise Amplifies and Optimizers Decide
Luciani, Erica; Bucarelli, Maria Sofia; Siciliano, Federico; Silvestri, Fabrizio; Becchetti, Luca;
