| Federated learning for cyber security: SOC collaboration for malicious URL detection E Khramtsova, C Hammerschmidt, S Lagraa, R State 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 19 | 2020 |
| Leveraging llms for unsupervised dense retriever ranking E Khramtsova, S Zhuang, M Baktashmotlagh, G Zuccon Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 5 | 2024 |
| Selecting which Dense Retriever to use for Zero-Shot Search E Khramtsova, S Zhuang, M Baktashmotlagh, X Wang, G Zuccon Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 5 | 2023 |
| Rethinking persistent homology for visual recognition E Khramtsova, G Zuccon, X Wang, M Baktashmotlagh Topological, Algebraic and Geometric Learning Workshops 2022, 206-215, 2022 | 4 | 2022 |
| Feb4rag: Evaluating federated search in the context of retrieval augmented generation S Wang, E Khramtsova, S Zhuang, G Zuccon Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 2 | 2024 |
| Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection E Khramtsova, T Leelanupab, S Zhuang, M Baktashmotlagh, G Zuccon Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 1 | 2024 |
| Convolutional Persistence as a Remedy to Neural Model Analysis E Khramtsova, G Zuccon, X Wang, M Baktashmotlagh International Conference on Artificial Intelligence and Statistics, 10839-10855, 2023 | 1 | 2023 |
| Source-Free Domain-Invariant Performance Prediction E Khramtsova, M Baktashmotlagh, G Zuccon, X Wang, M Salzmann arXiv preprint arXiv:2408.02209, 2024 | | 2024 |
| Weight-Based Performance Estimation for Diverse Domains E Khramtsova, M Baktashmotlagh, G Zuccon, X Wang, M Salzmann | | |
