| Boosting the performance of web search engines: Caching and prefetching query results by exploiting historical usage data T Fagni, R Perego, F Silvestri, S Orlando ACM Transactions on Information Systems (TOIS) 24 (1), 51-78, 2006 | 285 | 2006 |
| TweepFake: About detecting deepfake tweets T Fagni, F Falchi, M Gambini, A Martella, M Tesconi Plos one 16 (5), e0251415, 2021 | 254 | 2021 |
| CrisMap: a big data crisis mapping system based on damage detection and geoparsing M Avvenuti, S Cresci, F Del Vigna, T Fagni, M Tesconi Information Systems Frontiers 20, 993-1011, 2018 | 119 | 2018 |
| Boosting multi-label hierarchical text categorization A Esuli, T Fagni, F Sebastiani Information Retrieval 11, 287-313, 2008 | 111 | 2008 |
| On the selection of negative examples for hierarchical text categorization T Fagni, F Sebastiani Proceedings of the 3rd language technology conference, 24-28, 2007 | 73 | 2007 |
| Picture it in your mind: Generating high level visual representations from textual descriptions F Carrara, A Esuli, T Fagni, F Falchi, A Moreo Fernández Information Retrieval Journal 21, 208-229, 2018 | 42 | 2018 |
| Multi-store metadata-based supervised mobile app classification G Berardi, A Esuli, T Fagni, F Sebastiani Proceedings of the 30th Annual ACM Symposium on Applied Computing, 585-588, 2015 | 42 | 2015 |
| MP-Boost: A multiple-pivot boosting algorithm and its application to text categorization A Esuli, T Fagni, F Sebastiani String Processing and Information Retrieval: 13th International Conference …, 2006 | 42 | 2006 |
| On pushing deepfake tweet detection capabilities to the limits M Gambini, T Fagni, F Falchi, M Tesconi Proceedings of the 14th ACM Web Science Conference 2022, 154-163, 2022 | 37 | 2022 |
| TreeBoost. MH: A boosting algorithm for multi-label hierarchical text categorization A Esuli, T Fagni, F Sebastiani String Processing and Information Retrieval: 13th International Conference …, 2006 | 37 | 2006 |
| Fine-grained prediction of political leaning on social media with unsupervised deep learning T Fagni, S Cresci Journal of Artificial Intelligence Research 73, 633-672, 2022 | 21 | 2022 |
| Personalized interventions for online moderation S Cresci, A Trujillo, T Fagni Proceedings of the 33rd ACM Conference on Hypertext and Social Media, 248-251, 2022 | 17 | 2022 |
| Selecting negative examples for hierarchical text classification: An experimental comparison T Fagni, F Sebastiani Journal of the American Society for Information Science and Technology 61 …, 2010 | 17 | 2010 |
| Classifying websites by industry sector: A study in feature design G Berardi, A Esuli, T Fagni, F Sebastiani Proceedings of the 30th Annual ACM Symposium on Applied Computing, 1053-1059, 2015 | 15 | 2015 |
| HPC application execution on grids M Danelutto, M Vanneschi, C Zoccolo, N Tonellotto, S Orlando, ... Future Generation Grids: Proceedings of the Workshop on Future Generation …, 2006 | 14 | 2006 |
| The DSA Transparency Database: Auditing self-reported moderation actions by social media A Trujillo, T Fagni, S Cresci arXiv preprint arXiv:2312.10269, 2023 | 13 | 2023 |
| Six Things I Hate About You (in Italian) and Six Classification Strategies to More and More Effectively Find Them. T Fagni, L Nizzoli, M Petrocchi, M Tesconi ITASEC, 2019 | 9 | 2019 |
| Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets T Giorgi, L Cima, T Fagni, M Avvenuti, S Cresci arXiv preprint arXiv:2410.07991, 2024 | 8 | 2024 |
| Tweets2Stance: users stance detection exploiting zero-shot learning algorithms on tweets M Gambini, T Fagni, C Senette, M Tesconi arXiv preprint arXiv:2204.10710, 2022 | 8 | 2022 |
| Jatecs an open-source java text categorization system A Esuli, T Fagni, AM Fernández arXiv preprint arXiv:1706.06802, 2017 | 7 | 2017 |
Andrea EsuliIstituto di Scienza e Tecnologie dell'Informazione - Consiglio Nazionale delle Ricerche (ISTI-CNR)Preverjeni e-poštni naslov na isti.cnr.it