| Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking G Tolomei, F Silvestri, A Haines, M Lalmas Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 292 | 2017 |
| Identifying task-based sessions in search engine query logs C Lucchese, S Orlando, R Perego, F Silvestri, G Tolomei Proceedings of the fourth ACM international conference on Web search and …, 2011 | 187 | 2011 |
| Cf-gnnexplainer: Counterfactual explanations for graph neural networks A Lucic, MA Ter Hoeve, G Tolomei, M De Rijke, F Silvestri International Conference on Artificial Intelligence and Statistics, 4499-4511, 2022 | 185 | 2022 |
| Advertising in the iot era: Vision and challenges H Aksu, L Babun, M Conti, G Tolomei, AS Uluagac IEEE Communications Magazine 56 (11), 138-144, 2018 | 170 | 2018 |
| An open standard solution for domotic interoperability V Miori, L Tarrini, M Manca, G Tolomei IEEE Transactions on Consumer Electronics 52 (1), 97-103, 2006 | 127 | 2006 |
| Discovering tasks from search engine query logs C Lucchese, S Orlando, R Perego, F Silvestri, G Tolomei ACM Transactions on Information Systems (TOIS) 31 (3), 1-43, 2013 | 75 | 2013 |
| Treant: training evasion-aware decision trees S Calzavara, C Lucchese, G Tolomei, SA Abebe, S Orlando Data Mining and Knowledge Discovery 34 (5), 1390-1420, 2020 | 57 | 2020 |
| Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities S Calzavara, M Conti, R Focardi, A Rabitti, G Tolomei 2019 IEEE European Symposium on Security and Privacy (EuroS&P), 528-543, 2019 | 54 | 2019 |
| ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models Z Chen, F Silvestri, J Wang, H Zhu, H Ahn, G Tolomei Proceedings of the 31st ACM International Conference on Information …, 2022 | 48* | 2022 |
| Generating actionable suggestions for improving user engagement with online advertisements M Trevisiol, G Tolomei, N Barbieri, M Lalmas, PM Sangal, F Silvestri US Patent 10,755,303, 2020 | 46 | 2020 |
| Adversarial Training of Gradient-Boosted Decision Trees S Calzavara, C Lucchese, G Tolomei Proceedings of the 28th ACM International Conference on Information and …, 2019 | 41 | 2019 |
| A supervised learning approach to protect client authentication on the web S Calzavara, G Tolomei, A Casini, M Bugliesi, S Orlando ACM Transactions on the Web (TWEB) 9 (3), 1-30, 2015 | 41 | 2015 |
| Promoting positive post-click experience for in-stream yahoo gemini users M Lalmas, J Lehmann, G Shaked, F Silvestri, G Tolomei Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 39 | 2015 |
| Quite a mess in my cookie jar!: leveraging machine learning to protect web authentication S Calzavara, G Tolomei, M Bugliesi, S Orlando Proceedings of the 23rd international conference on World wide web, 189-200, 2014 | 39 | 2014 |
| A Survey on Decentralized Federated Learning E Gabrielli, G Pica, G Tolomei arXiv preprint arXiv:2308.04604, 2023 | 37 | 2023 |
| Using clustering to improve the structure of natural language requirements documents A Ferrari, S Gnesi, G Tolomei Requirements Engineering: Foundation for Software Quality: 19th …, 2013 | 33 | 2013 |
| Improving europeana search experience using query logs D Ceccarelli, S Gordea, C Lucchese, FM Nardini, G Tolomei International Conference on Theory and Practice of Digital Libraries, 384-395, 2011 | 31 | 2011 |
| GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations Z Chen, F Silvestri, J Wang, Y Zhang, Z Huang, H Ahn, G Tolomei arXiv preprint arXiv:2208.04222, 2022 | 27 | 2022 |
| The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples Z Chen, F Silvestri, J Wang, Y Zhang, G Tolomei Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 26 | 2023 |
| Turning Federated Learning Systems into Covert Channels G Costa, F Pinelli, S Soderi, G Tolomei IEEE Access, 2022 | 26* | 2022 |
Fabrizio SilvestriSapienza, University of Romeuniroma1.it의 이메일 확인됨
