| 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 | 18 | 2020 |
| 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 | 3 | 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 | 3 | 2022 |
| Leveraging LLMs for Unsupervised Dense Retriever Ranking E Khramtsova, S Zhuang, M Baktashmotlagh, G Zuccon arXiv preprint arXiv:2402.04853, 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 |
| FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation S Wang, E Khramtsova, S Zhuang, G Zuccon arXiv preprint arXiv:2402.11891, 2024 | | 2024 |
| Weight-Based Performance Estimation for Diverse Domains E Khramtsova, M Baktashmotlagh, G Zuccon, X Wang, M Salzmann | | 2023 |
