SICILIANO, FEDERICO
SICILIANO, FEDERICO
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
A Data-Driven Approach to Refine Predictions of Differentiated Thyroid Cancer Outcomes: A Prospective Multicenter Study
2023 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; Teresa Samà, Maria; Mele, Chiara; Deandrea, Maurilio; Fugazzola, Laura; Puligheddu, Barbara; Antonelli, Alessandro; Rossetto, Ruth; D’Amore, Annamaria; Ceresini, Graziano; Castello, Roberto; Solaroli, Erica; Centanni, Marco; Monti, Salvatore; Magri, Flavia; Bruno, Rocco; Sparano, Clotilde; Pezzullo, Luciano; Crescenzi, Anna; Mian, Caterina; Tumino, Dario; Repaci, Andrea; Grazia Castagna, Maria; Triggiani, Vincenzo; Porcelli, Tommaso; Meringolo, Domenico; Locati, Laura; Spiazzi, Giovanna; Di Dalmazi, Giulia; Anagnostopoulos, Aris; Leonardi, Stefano; Filetti, Sebastiano; Durante, Cosimo
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
2023 DI TEODORO, Giulia; Siciliano, Federico; Guarrasi, Valerio; Vandamme, Anne-Mieke; Ghisetti, Valeria; Sönnerborg, Anders; Zazzi, Maurizio; Silvestri, Fabrizio; Palagi, Laura
A Reproducible Analysis of Sequential Recommender Systems
2025 Betello, Filippo; Purificato, Antonio; Siciliano, Federico; Trappolini, Giovanni; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it
2025 Siciliano, Federico; Maiano, Luca; Papa, Lorenzo; Baccini, Federica; Amerini, Irene; Silvestri, Fabrizio
Architectural components of trustworthy Artificial Intelligence
2024 Siciliano, Federico
Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights
2025 Siciliano, Federico; Purificato, Antonio; Betello, Filippo; Tonellotto, Nicola; Silvestri, Fabrizio
Comparing long short-term memory and convolutional neural networks in {SYM}-H index forecasting
2022 Siciliano, Federico; Consolini, Giuseppe; Giannattasio, Fabio
Concept Distillation in Graph Neural Networks
2023 Charlotte Magister, Lucie; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro
Consistent Counterfactual Explanations via Anomaly Control and Data Coherence
2025 Movin, Maria; Siciliano, Federico; Ferreira, Rui; Silvestri, Fabrizio; Tolomei, Gabriele
Deep active learning for misinformation detection using geometric deep learning
2023 Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection
2022 Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio
Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems (Extended Abstract)
2024 Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio
Forecasting SYM-H Index: A Comparison Between LongShort-Term Memory and Convolutional Neural Networks
2021 Siciliano, F.; Consolini, G.; Tozzi, R.; Gentili, M.; Giannattasio, F.; De Michelis, P.
Human-in-the-Loop Personalized Counterfactual Recourse
2024 Abrate, Carlo; Siciliano, Federico; Bonchi, Francesco; Silvestri, Fabrizio
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
2023 Bacciu, Andrea; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
2024 Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio
IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems
2024 Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni
Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures
2022 Greco, Francesca; Polli, Alessandro; Siciliano, Federico
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
2023 Bucarelli, MARIA SOFIA; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking
2024 Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Data-Driven Approach to Refine Predictions of Differentiated Thyroid Cancer Outcomes: A Prospective Multicenter Study | 2023 | 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; Teresa Samà, Maria; Mele, Chiara; Deandrea, Maurilio; Fugazzola, Laura; Puligheddu, Barbara; Antonelli, Alessandro; Rossetto, Ruth; D’Amore, Annamaria; Ceresini, Graziano; Castello, Roberto; Solaroli, Erica; Centanni, Marco; Monti, Salvatore; Magri, Flavia; Bruno, Rocco; Sparano, Clotilde; Pezzullo, Luciano; Crescenzi, Anna; Mian, Caterina; Tumino, Dario; Repaci, Andrea; Grazia Castagna, Maria; Triggiani, Vincenzo; Porcelli, Tommaso; Meringolo, Domenico; Locati, Laura; Spiazzi, Giovanna; Di Dalmazi, Giulia; Anagnostopoulos, Aris; Leonardi, Stefano; Filetti, Sebastiano; Durante, Cosimo | |
| A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1 | 2023 | DI TEODORO, Giulia; Siciliano, Federico; Guarrasi, Valerio; Vandamme, Anne-Mieke; Ghisetti, Valeria; Sönnerborg, Anders; Zazzi, Maurizio; Silvestri, Fabrizio; Palagi, Laura | |
| A Reproducible Analysis of Sequential Recommender Systems | 2025 | Betello, Filippo; Purificato, Antonio; Siciliano, Federico; Trappolini, Giovanni; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio | |
| Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it | 2025 | Siciliano, Federico; Maiano, Luca; Papa, Lorenzo; Baccini, Federica; Amerini, Irene; Silvestri, Fabrizio | |
| Architectural components of trustworthy Artificial Intelligence | 2024 | Siciliano, Federico | |
| Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights | 2025 | Siciliano, Federico; Purificato, Antonio; Betello, Filippo; Tonellotto, Nicola; Silvestri, Fabrizio | |
| Comparing long short-term memory and convolutional neural networks in {SYM}-H index forecasting | 2022 | Siciliano, Federico; Consolini, Giuseppe; Giannattasio, Fabio | |
| Concept Distillation in Graph Neural Networks | 2023 | Charlotte Magister, Lucie; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro | |
| Consistent Counterfactual Explanations via Anomaly Control and Data Coherence | 2025 | Movin, Maria; Siciliano, Federico; Ferreira, Rui; Silvestri, Fabrizio; Tolomei, Gabriele | |
| Deep active learning for misinformation detection using geometric deep learning | 2023 | Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio | |
| FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection | 2022 | Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio | |
| Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems (Extended Abstract) | 2024 | Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio | |
| Forecasting SYM-H Index: A Comparison Between LongShort-Term Memory and Convolutional Neural Networks | 2021 | Siciliano, F.; Consolini, G.; Tozzi, R.; Gentili, M.; Giannattasio, F.; De Michelis, P. | |
| Human-in-the-Loop Personalized Counterfactual Recourse | 2024 | Abrate, Carlo; Siciliano, Federico; Bonchi, Francesco; Silvestri, Fabrizio | |
| Integrating Item Relevance in Training Loss for Sequential Recommender Systems | 2023 | Bacciu, Andrea; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio | |
| Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations | 2024 | Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio | |
| IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems | 2024 | Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni | |
| Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures | 2022 | Greco, Francesca; Polli, Alessandro; Siciliano, Federico | |
| Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels | 2023 | Bucarelli, MARIA SOFIA; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio | |
| Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking | 2024 | Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio |