Fabrizio Silvestri
Fabrizio Silvestri is a Full Professor at Dipartimento di Ingegneria informatica, automatica e gestionale (DIAG) of the University of Rome, La Sapienza. His research interests lie in Artificial Intelligence, and in particular, Fabrizio Silvestri deals with machine learning applied to web search problems and natural language processing. He is the author of more than 150 papers in international journals and conference proceedings. It holds nine industrial patents. He is the holder of the "test-of-time" award at the ECIR 2018 conference for an article published in 2007. He is the holder of three best paper awards and other international awards. Fabrizio Silvestri spent eight years abroad in industrial research laboratories (Yahoo! and Facebook). At Facebook AI, Fabrizio Silvestri has directed research groups to develop artificial intelligence techniques to combat malicious actors who use the Facebook platform for malicious purposes (hate speech, misinformation, terrorism, etc.) Fabrizio Silvestri has a Ph.D. in computer science awarded by the University of Pisa with a thesis entitled: "High-Performance Issues in Web Search Engines: Algorithms and Techniques."
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Ultime pubblicazioni
| CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN on DISCOVER ARTIFICIAL INTELLIGENCE | 2023 |
| Deep active learning for misinformation detection using geometric deep learning on ONLINE SOCIAL NETWORKS AND MEDIA | 2023 |
| Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels on 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | 2023 |
| The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples on Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23) | 2023 |
| A Survey on Multimodal Disinformation Detection on Proceedings of the 29th International Conference on Computational Linguistics | 2022 |
| CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks on The 25th International Conference on Artificial Intelligence and Statistics | 2022 |
| Detecting and Understanding Harmful Memes: A Survey on Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence | 2022 |