Static Pruning in Dense Retrieval using Matrix Decomposition

Authors: Siciliano, Federico, Pezzuti, Francesca, Tonellotto, Nicola, Silvestri, Fabrizio

Subject Terms: Computer Science - Information Retrieval

Access URL: http://arxiv.org/abs/2412.09983

A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling

Authors: Di Teodoro, Giulia, Siciliano, Federico, Tonellotto, Nicola, Silvestri, Fabrizio

Subject Terms: Computer Science - Information Retrieval

Access URL: http://arxiv.org/abs/2411.07770

A Reproducible Analysis of Sequential Recommender Systems

Authors: Betello, Filippo, Purificato, Antonio, Siciliano, Federico, Trappolini, Giovanni, Bacciu, Andrea, Tonellotto, Nicola, Silvestri, Fabrizio

Subject Terms: Computer Science - Information Retrieval

Access URL: http://arxiv.org/abs/2408.03873

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

Authors: Bucarelli, Maria Sofia, Cassano, Lucas, Siciliano, Federico, Mantrach, Amin, Silvestri, Fabrizio

Source: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) CVPR Computer Vision and Pattern Recognition (CVPR), 2023 IEEE/CVF Conference on. :3439-3448 Jun, 2023

Relation: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The Power of Noise: Redefining Retrieval for RAG Systems

Authors: Cuconasu, Florin, Trappolini, Giovanni, Siciliano, Federico, Filice, Simone, Campagnano, Cesare, Maarek, Yoelle, Tonellotto, Nicola, Silvestri, Fabrizio

Subject Terms: Computer Science - Information Retrieval, Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2401.14887

A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1

Authors: Di Teodoro, Giulia, Siciliano, Federico, Guarrasi, Valerio, Vandamme, Anne-Mieke, Ghisetti, Valeria, Sönnerborg, Anders, Zazzi, Maurizio, Silvestri, Fabrizio, Palagi, Laura

Subject Terms: Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, 68, I.2.6

Access URL: http://arxiv.org/abs/2312.17506

Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It

Authors: Siciliano, Federico, Maiano, Luca, Papa, Lorenzo, Baccini, Federica, Amerini, Irene, Silvestri, Fabrizio

Subject Terms: Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Cryptography and Security

Access URL: http://arxiv.org/abs/2312.15228

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

Authors: Siciliano, Federico, Bucarelli, Maria Sofia, Tolomei, Gabriele, Silvestri, Fabrizio

Source: 2022 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2022 International Joint Conference on. :01-17 Jul, 2022

Relation: 2022 International Joint Conference on Neural Networks (IJCNN)

FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection

Authors: Barnabo, Giorgio, Siciliano, Federico, Castillo, Carlos, Leonardi, Stefano, Nakov, Preslav, Da San Martino, Giovanni, Silvestri, Fabrizio

Source: 2022 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2022 International Joint Conference on. :1-8 Jul, 2022

Relation: 2022 International Joint Conference on Neural Networks (IJCNN)

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations

Authors: Betello, Filippo, Siciliano, Federico, Mishra, Pushkar, Silvestri, Fabrizio

Source: Advances in Information Retrieval. ECIR 2024. Lecture Notes in Computer Science, vol 14609

Subject Terms: Computer Science - Information Retrieval, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2307.13165

RRAML: Reinforced Retrieval Augmented Machine Learning

Authors: Bacciu, Andrea, Cuconasu, Florin, Siciliano, Federico, Silvestri, Fabrizio, Tonellotto, Nicola, Trappolini, Giovanni

Source: CEUR Workshop Proceedings (2023, Vol. 3537, pp. 29-37)

Subject Terms: Computer Science - Computation and Language, Computer Science - Information Retrieval

Access URL: http://arxiv.org/abs/2307.12798

Integrating Item Relevance in Training Loss for Sequential Recommender Systems

Authors: Bacciu, Andrea, Siciliano, Federico, Tonellotto, Nicola, Silvestri, Fabrizio

Source: In Proceedings of the 17th ACM Conference on Recommender Systems (pp. 1114-1119) 2023

Subject Terms: Computer Science - Information Retrieval, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2305.10824

Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems

Authors: Purificato, Antonio, Cassarà, Giulia, Siciliano, Federico, Liò, Pietro, Silvestri, Fabrizio

Subject Terms: Computer Science - Information Retrieval, Computer Science - Machine Learning, 55, I.2.6, H.3.3

Access URL: http://arxiv.org/abs/2304.09097

Encoding Concepts in Graph Neural Networks

Authors: Magister, Lucie Charlotte, Barbiero, Pietro, Kazhdan, Dmitry, Siciliano, Federico, Ciravegna, Gabriele, Silvestri, Fabrizio, Jamnik, Mateja, Lio, Pietro

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Logic in Computer Science

Access URL: http://arxiv.org/abs/2207.13586

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

Authors: Siciliano, Federico, Bucarelli, Maria Sofia, Tolomei, Gabriele, Silvestri, Fabrizio

Subject Terms: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2110.02775

A Data-Driven Approach to Refine Predictions of Differentiated Thyroid Cancer Outcomes: A Prospective Multicenter Study.

Authors: Grani, Giorgio, Gentili, Michele, Siciliano, Federico, Albano, Domenico, Zilioli, Valentina, Morelli, Silvia, Puxeddu, Efisio, Zatelli, Maria Chiara, Gagliardi, Irene, Piovesan, Alessandro, Nervo, Alice, Crocetti, Umberto, Massa, Michela, Samà, Maria Teresa, Mele, Chiara, Deandrea, Maurilio, Fugazzola, Laura, Puligheddu, Barbara, Antonelli, Alessandro, Rossetto, Ruth

Source: Journal of Clinical Endocrinology & Metabolism; Aug2023, Vol. 108 Issue 8, p1921-1928, 8p

Subject Terms: THYROID cancer, CLINICAL trials

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

Authors: Di Teodoro, Giulia^1,2, diteodoro@diag.uniroma1.it, Siciliano, Federico¹, siciliano@diag.uniroma1.it, Guarrasi, Valerio^1,3, valerio.guarrasi@unicampus.it, Vandamme, Anne-Mieke^4,5, annemie.vandamme@kuleuven.be, Ghisetti, Valeria⁶, valeria.ghisetti@unito.it, Sönnerborg, Anders^7,8, anders.sonnerborg@ki.se, Zazzi, Maurizio⁹, maurizio.zazzi@unisi.it, Silvestri, Fabrizio¹, fsilvestri@diag.uniroma1.it, Palagi, Laura¹, palagi@diag.uniroma1.it

Source: Computerized Medical Imaging & Graphics; Mar2025, Vol. 120, pN.PAG-N.PAG, 1p

Deep active learning for misinformation detection using geometric deep learning

Authors: Barnabò, Giorgio, Siciliano, Federico, Castillo, Carlos, Leonardi, Stefano, Nakov, Preslav, Martino, Giovanni Da San, Silvestri, Fabrizio

Source: Online Social Networks and Media; 20230101, Issue: Preprints