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Federico Siciliano
Federico Siciliano
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Titolo
Citata da
Citata da
Anno
Forecasting SYM‐H Index: A Comparison Between Long Short‐Term Memory and Convolutional Neural Networks
F Siciliano, G Consolini, R Tozzi, M Gentili, F Giannattasio, P De Michelis
Space Weather 19 (2), e2020SW002589, 2021
392021
Concept Distillation in Graph Neural Networks
LC Magister, P Barbiero, D Kazhdan, F Siciliano, G Ciravegna, F Silvestri, ...
World Conference on Explainable Artificial Intelligence, 233-255, 2023
18*2023
The Power of Noise: Redefining Retrieval for RAG Systems
F Cuconasu, G Trappolini, F Siciliano, S Filice, C Campagnano, Y Maarek, ...
arXiv preprint arXiv:2401.14887, 2024
142024
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection
G Barnabò, F Siciliano, C Castillo, S Leonardi, P Nakov, ...
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
102022
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
MS Bucarelli, L Cassano, F Siciliano, A Mantrach, F Silvestri
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
92023
A data-driven approach to refine predictions of differentiated thyroid cancer outcomes: a prospective multicenter study
G Grani, M Gentili, F Siciliano, D Albano, V Zilioli, S Morelli, E Puxeddu, ...
The Journal of Clinical Endocrinology & Metabolism 108 (8), 1921-1928, 2023
82023
Newron: a new generalization of the artificial neuron to enhance the interpretability of neural networks
F Siciliano, MS Bucarelli, G Tolomei, F Silvestri
2022 International Joint Conference on Neural Networks (IJCNN), 01-17, 2022
72022
The CAESAR Project for the ASI Space Weather Infrastructure
M Laurenza, D Del Moro, T Alberti, R Battiston, S Benella, F Benvenuto, ...
Remote Sensing 15 (2), 346, 2023
52023
RRAML: Reinforced Retrieval Augmented Machine Learning
A Bacciu, F Cuconasu, F Siciliano, F Silvestri, N Tonellotto, G Trappolini
CEUR WORKSHOP PROCEEDINGS 3537, 29--37, 2023
42023
Deep active learning for misinformation detection using geometric deep learning
G Barnabò, F Siciliano, C Castillo, S Leonardi, P Nakov, ...
Online Social Networks and Media 33, 100244, 2023
42023
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
F Betello, F Siciliano, P Mishra, F Silvestri
European Conference on Information Retrieval, 205-220, 2024
3*2024
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
F Siciliano, A Bacciu, N Tonellotto, F Silvestri
Proceedings of the 17th ACM Conference on Recommender Systems, 1114–1119, 2023
32023
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
F Siciliano, L Maiano, L Papa, F Baccini, I Amerini, F Silvestri
arXiv preprint arXiv:2312.15228, 2023
12023
Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures
F Greco, A Polli, F Siciliano
JADT 2022 Proceedings: 16th International Conference on Statistical Analysis …, 2022
12022
Architectural components of trustworthy Artificial Intelligence
F Siciliano
Università degli Studi di Roma" La Sapienza", 2024
2024
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
G Di Teodoro, F Siciliano, V Guarrasi, AM Vandamme, V Ghisetti, ...
arXiv preprint arXiv:2312.17506, 2023
2023
Adata-driven approach reveals emerging risk factors for recurrent and persistent differentiated thyroid cancer
M Gentili, G Grani, F Siciliano
Endocrine Abstracts 81, 2022
2022
Comparing long short-term memory and convolutional neural networks in SYM-H index forecasting
F Siciliano, G Consolini, F Giannattasio
EGU General Assembly Conference Abstracts, EGU22-11344, 2022
2022
Reconstruction of F-Region Electric Current Densities from more than 2 Years of Swarm Satellite Magnetic data
R Tozzi, M Pezzopane, P De Michelis, A Pignalberi, F Siciliano
AGU Fall Meeting Abstracts, SA23B-2400, 2016
2016
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–19